cran: xgboost | Projects | Ecosyste.ms: Papers

10.1093/gigascience/giaa026

ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
Cited by: 13
Author(s): Stephen R. Piccolo, Terry J. Lee, Erica Suh, Kimball T Hill
Software Mentions: 21
Published: over 4 years ago

10.1371/journal.pone.0169748

SoilGrids250m: Global gridded soil information based on machine learning
Cited by: 2,126
Author(s): Tomislav Hengl, Jorge Mendes de Jesus, G.B.M. Heuvelink, M. Ruiperez González, Milorad Kilibarda, Aleksandar Blagotić, Wei Shangguan, Marvin N. Wright, Xiaoyuan Geng, Bernhard Bauer-Marschallinger, Mário Guevara, Rodrigo Vargas, R.A. MacMillan, N.H. Batjes, J.G.B. Leenaars, Eloi Ribeiro, Ichsani Wheeler, S. Mantel
Software Mentions: 19
Published: almost 8 years ago

10.1093/bioinformatics/btab039

mlr3proba: an R package for machine learning in survival analysis
Cited by: 38
Author(s): Raphael Sonabend, Franz J. Király, Andreas Bender, Bernd Bischl, Michel Lang
Software Mentions: 18
Published: almost 4 years ago

10.7717/peerj.5457

Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential
Cited by: 84
Author(s): Tomislav Hengl, Markus Walsh, Jonathan Sanderman, Ichsani Wheeler, Sandy P. Harrison, Iain Colin Prentice
Software Mentions: 17
Published: over 6 years ago

10.3390/cancers13133166

High-Risk Clinicopathological and Genetic Features and Outcomes in Patients Receiving Neoadjuvant Radiochemotherapy for Locally Advanced Rectal Cancer
Cited by: 3
Author(s): Sofía Del Carmen, Luis A. Corchete, Cristina Velasco, Julia Sanz, José A. Sánchez Alcázar, José María Sánchez García, Ana Isabel Enríquez Rodríguez, Rosario Vidal-Tocino, A Barrio Rodriguez, Luis Alberto Pérez-Romasanta, José María Sayagués, Mónica Viñarás Abad
Software Mentions: 16
Published: over 3 years ago

10.21105/joss.03073

mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
Cited by: 22
Author(s): Begüm D. Topçuoğlu, Zena Lapp, Kelly L Sovacool, Evan S. Snitkin, Jenna Wiens, Patrick D. Schloss
Software Mentions: 15
Published: over 3 years ago

10.1080/19490976.2021.1888673

Links between gut microbiome composition and fatty liver disease in a large population sample
Cited by: 31
Author(s): Matti O. Ruuskanen, Fredrik Åberg, Ville Männistö, Aki S. Havulinna, Guillaume Méric, Yang Liu, Rohit Loomba, Yoshiki Vázquez-Baeza, Anupriya Tripathi, Liisa Valsta, Michael Inouye, Pekka Jousilahti, Veikko Salomaa, Mohit Jain, Rob Knight, Leo Lahti, Teemu J. Niiranen
Software Mentions: 14
Published: almost 4 years ago

10.7554/eLife.55913

An image-based data-driven analysis of cellular architecture in a developing tissue
Cited by: 22
Author(s): Jonas Hartmann, Mie Wong, Elisa Cristina de Proença Rodrigues Gallo, Darren Gilmour
Software Mentions: 14
Published: over 4 years ago

10.1038/s41598-021-90901-4

Characteristics of preoperative steroid profiles and glucose metabolism in patients with primary aldosteronism developing adrenal insufficiency after adrenalectomy
Cited by: 3
Author(s): Xiao Wang, Daniel A. Heinrich, Sonja Kunz, Nina Heger, Lisa Sturm, Olaf Uhl, Felix Beuschlein, Martín Reincke, Martin Bidlingmaier
Software Mentions: 13
Published: over 3 years ago

10.3390/jcm10051089

Prediction of Neurologically Intact Survival in Cardiac Arrest Patients without Pre-Hospital Return of Spontaneous Circulation: Machine Learning Approach
Cited by: 4
Author(s): Dong-Woo Seo, Hahn Yi, Hyun‐Jin Bae, Youn-Jung Kim, Cheol Ho Sohn, Won Young Kim, Kyung-Taek Lim, Namkug Kim, Youn-Jung Kim
Software Mentions: 13
Published: over 3 years ago

10.1007/s10875-020-00908-1

Targeted Proteomics Reveals Inflammatory Pathways that Classify Immune Dysregulation in Common Variable Immunodeficiency
Cited by: 13
Author(s): Roos-Marijn Berbers, Julia Drylewicz, Pauline M. Ellerbroek, Joris M. van Montfrans, Virgil A. S. H. Dalm, P. Martin van Hagen, Baerbel Keller, Klaus Warnatz, Annick van de Ven, J.M. van Laar, Stefan Nierkens, Helen L. Leavis
Software Mentions: 13
Published: about 4 years ago

10.3389/fcimb.2021.688256

Machine Learning Uses Chemo-Transcriptomic Profiles to Stratify Antimalarial Compounds With Similar Mode of Action
Cited by: 1
Author(s): Ashleigh van Heerden, Roelof van Wyk, Lyn-Marié Birkholtz
Software Mentions: 13
Published: over 3 years ago

10.3390/ani11072131

Predicting Subclinical Ketosis in Dairy Cows Using Machine Learning Techniques
Cited by: 7
Author(s): Alicja Satoła, Edyta Bauer
Software Mentions: 12
Published: over 3 years ago

10.3389/fgene.2021.625145

Identification of Tumor Microenvironment-Related Prognostic Biomarkers for Ovarian Serous Cancer 3-Year Mortality Using Targeted Maximum Likelihood Estimation: A TCGA Data Mining Study
Cited by: 2
Author(s): Lu Wang, Xiaoru Sun, Chuandi Jin, Yue Fan, Fuzhong Xue
Software Mentions: 11
Published: over 3 years ago

10.1371/journal.pone.0242728

Video kills the sentiment—Exploring fans’ reception of the video assistant referee in the English premier league using Twitter data
Cited by: 10
Author(s): Otto Kolbinger, Melanie Knopp
Software Mentions: 11
Published: almost 4 years ago

10.1371/journal.pone.0239378

The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice
Cited by: 7
Author(s): Michael Barth, Arne Güllich, Christian Raschner, Eike Emrich
Software Mentions: 10
Published: about 4 years ago

10.7554/eLife.67490

Non-linear dimensionality reduction on extracellular waveforms reveals cell type diversity in premotor cortex
Cited by: 27
Author(s): Eric Lee, Hymavathy Balasubramanian, Alexandra Tsolias, Stephanie Udochukwu Anakwe, Maria Medalla, Krishna V. Shenoy, Chandramouli Chandrasekaran
Software Mentions: 10
Published: over 3 years ago

10.1371/journal.pone.0254394

Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods
Cited by: 0
Author(s): Kozo Hara, Yasuki Kobayashi, Jun Tomio, Yuki Ito, Thomas Svensson, Ryo Ikesu, Ung‐il Chung, Akiko Kishi Svensson
Software Mentions: 10
Published: about 3 years ago

10.1038/s41598-020-66650-1

Predicting dengue importation into Europe, using machine learning and model-agnostic methods
Cited by: 17
Author(s): Donald Salami, Carla Sousa, Maria do Rosário Oliveira Martins, César Capinha
Software Mentions: 10
Published: over 4 years ago

10.1007/s10705-017-9870-x

Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning
Cited by: 170
Author(s): Tomislav Hengl, J.G.B. Leenaars, Keith D. Shepherd, Markus Walsh, G.B.M. Heuvelink, Tekalign Mamo, H. Tilahun, Ezra Berkhout, Matthew Cooper, Eric Fegraus, Ichsani Wheeler, Nketia A. Kwabena
Software Mentions: 10
Published: over 7 years ago

10.1001/jamanetworkopen.2021.10703

Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment
Cited by: 13
Author(s): Jeph Herrin, Neena S. Abraham, Xiaoxi Yao, Peter A. Noseworthy, Jonathan Inselman, Nilay D. Shah, Che Ngufor
Software Mentions: 10
Published: over 3 years ago

10.1371/journal.pone.0194085

Predicting urinary tract infections in the emergency department with machine learning
Cited by: 112
Author(s): Richard A. Taylor, Christopher L. Moore, Kei‐Hoi Cheung, Cynthia Brandt
Software Mentions: 10
Published: over 6 years ago

10.1186/s12885-021-08498-w

Prediction of the risk of developing hepatocellular carcinoma in health screening examinees: a Korean cohort study
Cited by: 7
Author(s): Chansik An, Jong Won Choi, Hyung Soon Lee, Hyunsun Lim, Seok Jong Ryu, Jung Hyun Chang, Hyun Cheol Oh
Software Mentions: 10
Published: over 3 years ago

10.3390/jpm10040214

Prediction of Mental Illness in Heart Disease Patients: Association of Comorbidities, Dietary Supplements, and Antibiotics as Risk Factors
Cited by: 3
Author(s): Jayanth Sivakumar, Saba Ahmed, Lina Begdache, Swati Jain, Daehan Won
Software Mentions: 9
Published: about 4 years ago

10.1186/s13059-018-1414-4

QAPA: a new method for the systematic analysis of alternative polyadenylation from RNA-seq data
Cited by: 140
Author(s): Kevin C.H. Ha, Benjamin J. Blencowe, Quaid Morris
Software Mentions: 9
Published: over 6 years ago

10.15252/msb.20188190

High‐throughput discovery of functional disordered regions: investigation of transactivation domains
Cited by: 121
Author(s): Charles N. J. Ravarani, Tamara Y. Erkina, Greet De Baets, Daniel C Dudman, Alexandre M. Erkine, M. Madan Babu
Software Mentions: 9
Published: over 6 years ago

10.3390/e21050513

Mimicking Anti-Viruses with Machine Learning and Entropy Profiles
Cited by: 10
Author(s): Héctor D. Menéndez, José Luís Llorente
Software Mentions: 9
Published: over 5 years ago

10.7717/peerj.6339

Splitting on categorical predictors in random forests
Cited by: 26
Author(s): Marvin N. Wright, Inke R. König
Software Mentions: 9
Published: almost 6 years ago

10.1038/s41598-020-72018-2

Spatial structure, parameter nonlinearity, and intelligent algorithms in constructing pedotransfer functions from large-scale soil legacy data
Cited by: 6
Author(s): Poulamee Chakraborty, Bhabani S. Das, Hitesh B. Vasava, Niranjan Panigrahi, Priyabrata Santra
Software Mentions: 9
Published: about 4 years ago

10.1002/jia2.25467

Super learner analysis of real‐time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non‐differentiated care approaches for persons living with HIV in rural Uganda
Cited by: 10
Author(s): Alejandra Benitez, Nicholas Musinguzi, David R. Bangsberg, Mwebesa Bwana, Conrad Muzoora, Peter W. Hunt, Jeffrey N. Martin, Jessica Haberer, Maya Petersen
Software Mentions: 9
Published: over 4 years ago

10.3389/fdata.2020.00015

Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11,081)
Cited by: 42
Author(s): Amita Sharma, W. Verbeke
Software Mentions: 9
Published: over 4 years ago

10.1371/journal.pone.0238757

Predicting drug sensitivity of cancer cells based on DNA methylation levels
Cited by: 4
Author(s): Sofia Pontes de Miranda, Fernanda Baião, Julia L. Fleck, Stephen R. Piccolo
Software Mentions: 9
Published: about 3 years ago

10.3389/fmicb.2018.02571

PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Cited by: 97
Author(s): Yi Xiong, Qiankun Wang, Junchen Yang, Xiaolei Zhu, Dong‐Qing Wei
Software Mentions: 9
Published: about 6 years ago

10.7554/eLife.40757

Targets and genomic constraints of ectopic Dnmt3b expression
Cited by: 24
Author(s): Yingying Zhang, Jocelyn Charlton, Rahul Karnik, Isabel Beerman, Zachary D. Smith, Hongcang Gu, Patrick Boyle, Xiaoli Mi, Kendell Clement, Ramona Pop, Andreas Gnirke, Derrick J. Rossi, Alexander Meissner
Software Mentions: 9
Published: about 6 years ago

10.1371/journal.pone.0206662

Predicting hospital and emergency department utilization among community-dwelling older adults: Statistical and machine learning approaches
Cited by: 15
Author(s): Aaron Jones, Andrew P. Costa, Angelina Pesevski, Paul D. McNicholas
Software Mentions: 8
Published: about 6 years ago

10.1038/s41598-021-97221-7

An interaction regression model for crop yield prediction
Cited by: 25
Author(s): Javad Ansarifar, Lizhi Wang, Sotirios Archontoulis
Software Mentions: 8
Published: about 3 years ago

10.1186/s13007-021-00744-3

PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
Cited by: 4
Author(s): Prabina Kumar Meher, Ansuman Mohapatra, Subhrajit Satpathy, Anuj Sharma, Isha Saini, Sukanta Kumar Pradhan, Anil Rai
Software Mentions: 8
Published: over 3 years ago

10.1186/s12911-021-01474-1

Predicting unplanned medical visits among patients with diabetes: translation from machine learning to clinical implementation
Cited by: 5
Author(s): Arielle Selya, Drake Anshutz, Emily R. Griese, Tess L. Weber, Benson Hsu, Cameron Ward
Software Mentions: 8
Published: over 3 years ago

10.3390/jcm10010111

Evaluating the Effect of Topical Atropine Use for Myopia Control on Intraocular Pressure by Using Machine Learning
Cited by: 19
Author(s): Tzu-En Wu, Hsin‐An Chen, Mao-Jhen Jhou, Yen-Ning Chen, Ting-Jen Chang, Chi-Jie Lu
Software Mentions: 8
Published: almost 4 years ago

10.1186/s12864-018-4766-y

BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
Cited by: 32
Author(s): Luli S. Zou, Michael R. Erdos, D. Leland Taylor, Peter S. Chines, Arushi Varshney, Stephen C. J. Parker, Francis S. Collins, John P. Didion
Software Mentions: 8
Published: over 6 years ago

10.1186/s40462-021-00245-x

An evaluation of machine learning classifiers for next-generation, continuous-ethogram smart trackers
Cited by: 15
Author(s): Hui Yu, Jian Deng, Ran Nathan, Max Kröschel, Sasha Pekarsky, Guozheng Li, Marcel Klaassen
Software Mentions: 8
Published: over 3 years ago

10.3389/fphar.2021.608778

Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma
Cited by: 0
Author(s): Zhichao Liu, Xi Chen, Ruth Roberts, Ruili Huang, Mike Mikailov, Weida Tong
Software Mentions: 8
Published: over 3 years ago

10.1002/ece3.7937

R package for animal behavior classification from accelerometer data—rabc
Cited by: 7
Author(s): Hui Yu, Marcel Klaassen
Software Mentions: 8
Published: over 3 years ago

10.1186/s12911-019-0801-4

Predicting factors for survival of breast cancer patients using machine learning techniques
Cited by: 143
Author(s): Mogana Darshini Ganggayah, Nur Aishah Mohd Taib, Yip Cheng Har, Píetro Lió, Sarinder Kaur Dhillon
Software Mentions: 8
Published: over 5 years ago

10.3390/s20205879

A Shape Approximation for Medical Imaging Data
Cited by: 2
Author(s): Shih‐Feng Huang, Yung-Hsuan Wen, Chi-Hsiang Chu, Chien‐Chin Hsu
Software Mentions: 7
Published: about 4 years ago

10.7150/ijms.51235

Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables
Cited by: 29
Author(s): Wei Hou, Zirun Zhao, Anne Chen, Haifang Li, Timothy Q. Duong
Software Mentions: 7
Published: almost 4 years ago

10.3390/s20174741

Use of Predicted Behavior from Accelerometer Data Combined with GPS Data to Explore the Relationship between Dairy Cow Behavior and Pasture Characteristics
Cited by: 20
Author(s): Lucile Riaboff, Sébastien Couvreur, Aurélien Madouasse, Marie Roig-Pons, Sébastien Aubin, Patrick Massabie, Alain Chauvin, Nicolas Bédère, Guy Plantier
Software Mentions: 7
Published: over 4 years ago

10.1038/s41598-017-02365-0

CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods
Cited by: 120
Author(s): Li Zhang, Haixin Ai, Wen Chen, Zimo Yin, Huan Hu, Jü Zhu, Zhao Jian, Qi Zhao, Huan Liu
Software Mentions: 7
Published: over 7 years ago

10.1038/s41598-021-83784-y

Early risk assessment for COVID-19 patients from emergency department data using machine learning
Cited by: 57
Author(s): Stefan Heldt, Marcela P. Vizcaychipi, Sophie Peacock, Mattia Cinelli, Lachlan McLachlan, Fernando Andreotti, Stojan Jovanovic, Robert Dürichen, N. A. Lipunova, Robert A. Fletcher, Anne Hancock, Alex McCarthy, Richard A. Pointon, Alexander Brown, James Eaton, Roberto Liddi, Lucy Mackillop, Lionel Tarassenko, Rabia Khan
Software Mentions: 7
Published: almost 4 years ago

10.1098/rsos.200139

Behavioural inference from signal processing using animal-borne multi-sensor loggers: a novel solution to extend the knowledge of sea turtle ecology
Cited by: 23
Author(s): Lorène Jeantet, Víctor Planas‐Bielsa, Simon Benhamou, Sébastien Geiger, Jordan Martin, Flora Siegwalt, Pierre Lelong, Julie Gresser, Denis Etienne, Gaëlle Hiélard, Alexandre Arqué, Sidney Régis, Nicolas Lecerf, Cédric Frouin, Abdelwahab Benhalilou, Céline Murgale, Thomas Maillet, Lucas Andreani, Guilhem Campistron, Hélène Delvaux, Christelle Guyon, Sabine Richard, Fabien Lefèbvre, Nathalie Aubert, Caroline Habold, Yvon Le Maho, Damien Chevallier
Software Mentions: 7
Published: over 4 years ago

10.1136/bmj.m3339

Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score
Cited by: 699
Author(s): Stephen R Knight, Antonia Ho, Riinu Pius, Iain Buchan, Gail Carson, Thomas M Drake, Jake Dunning, Cameron J Fairfield, Carrol Gamble, Christopher Green, Gupta Rk, Sophie Halpin, Hayley Hardwick, Karl Holden, Peter Horby, Clare Jackson, Kenneth A McLean, Laura Merson, Jonathan S Nguyen‐Van‐Tam, Lisa Norman, Mahdad Noursadeghi, Piero Olliaro, Mark G Pritchard, Clark D Russell, Catherine Shaw, Aziz Sheikh, Tom Solomon, Cathie Sudlow, Olivia Swann, Lance Turtle, Peter Openshaw, J Kenneth Baillie, Malcolm G Semple, Annemarie B Docherty, Ewen M Harrison
Software Mentions: 7
Published: about 4 years ago

10.3390/diagnostics11091718

Comparison of Different Machine Learning Classifiers for Glaucoma Diagnosis Based on Spectralis OCT
Cited by: 15
Author(s): Chaowei Wu, Hsiang-Li Shen, Chi-Jie Lu, Ssu-Han Chen, Hsin‐Yi Chen
Software Mentions: 7
Published: about 3 years ago

10.1038/s41598-018-22083-5

Chronic helminth infection burden differentially affects haematopoietic cell development while ageing selectively impairs adaptive responses to infection
Cited by: 14
Author(s): Simon A. Babayan, Amy Sinclair, Jessica Duprez, Colin Selman
Software Mentions: 7
Published: over 6 years ago

10.1371/journal.pbio.3001390

Identifying and prioritizing potential human-infecting viruses from their genome sequences
Cited by: 43
Author(s): Nardus Mollentze, Simon A. Babayan, Daniel G. Streicker
Software Mentions: 7
Published: about 3 years ago

10.1038/s41598-020-75473-z

Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning
Cited by: 16
Author(s): Satoru Kawakita, Jennifer L. Beaumont, Vadim Jucaud, Matthew J Everly
Software Mentions: 7
Published: about 4 years ago

10.3389/fgene.2019.00662

Cascaded Wx: A Novel Prognosis-Related Feature Selection Framework in Human Lung Adenocarcinoma Transcriptomes
Cited by: 6
Author(s): Bonggun Shin, Sung Soo Park, Ji Hyung Hong, Ho Jung An, Sang Hoon Chun, Kilsoo Kang, Young Ho Ahn, Yoon Ho Ko, Keunsoo Kang
Software Mentions: 7
Published: over 5 years ago

10.3389/fgene.2021.604714

Coupling of Co-expression Network Analysis and Machine Learning Validation Unearthed Potential Key Genes Involved in Rheumatoid Arthritis
Cited by: 8
Author(s): Jianwei Xiao, Rongsheng Wang, Xu Cai, Zhizhong Ye
Software Mentions: 7
Published: almost 4 years ago

10.3390/cancers13184559

Machine Learning Incorporating Host Factors for Predicting Survival in Head and Neck Squamous Cell Carcinoma Patients
Cited by: 5
Author(s): Han Yu, Sung Jun, Mark Farrugia, Austin J. Iovoli, Kimberly Wooten, Vishal Gupta, Ryan McSpadden, Moni Abraham Kuriakose, Michael R. Markiewicz, Justin Chan, Wesley L. Hicks, Mary E. Platek, Anurag Singh
Software Mentions: 7
Published: about 3 years ago

10.3389/fgene.2019.00579

A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction
Cited by: 107
Author(s): Yi‐Hui Zhou, Paul J. Gallins
Software Mentions: 7
Published: over 5 years ago

10.1038/s41598-021-85016-9

Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings
Cited by: 4
Author(s): Máté E. Maros, Chang Gyu Cho, Andreas Junge, Benedikt Kämpgen, Victor Saase, Fabian Siegel, Frederik Trinkmann, Thomas Ganslandt, Christoph Groden, Holger Wenz
Software Mentions: 7
Published: over 3 years ago

10.3389/fped.2021.711104

Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care Unit
Cited by: 10
Author(s): Sanjukta N. Bose, Joseph L. Greenstein, James C. Fackler, Sridevi V. Sarma, Raimond L. Winslow, Melania M. Bembea
Software Mentions: 7
Published: over 3 years ago

10.1038/s41598-020-58601-7

Nationwide prediction of type 2 diabetes comorbidities
Cited by: 27
Author(s): Piotr Dworzyński, Martin Aasbrenn, Klaus Rostgaard, Mads Melbye, Thomas Alexander Gerds, Henrik Hjalgrim, Tune H. Pers
Software Mentions: 7
Published: almost 5 years ago

10.3389/fonc.2020.573800

Molecular and Clinical Characterization of a Novel Prognostic and Immunologic Biomarker FAM111A in Diffuse Lower-Grade Glioma
Cited by: 8
Author(s): Xiaoshuai Ji, Feng Ding, Jiajia Gao, Xiaoming Huang, Wenqing Liu, Yunda Wang, Qian Liu, Tao Xin
Software Mentions: 7
Published: about 4 years ago

10.3390/nu11123045

Nutrient Estimation from 24-Hour Food Recalls Using Machine Learning and Database Mapping: A Case Study with Lactose
Cited by: 20
Author(s): Elizabeth Chin, Gabriel Simmons, Yasmine Bouzid, Annie Kan, D. D. Burnett, Ilias Tagkopoulos, Danielle G. Lemay
Software Mentions: 7
Published: almost 5 years ago

10.1371/journal.pone.0201016

Predicting hospital admission at emergency department triage using machine learning
Cited by: 155
Author(s): Woo Suk Hong, Adrian D. Haimovich, Richard A. Taylor
Software Mentions: 7
Published: over 6 years ago

10.1186/s13690-021-00687-0

Use of artificial intelligence for public health surveillance: a case study to develop a machine Learning-algorithm to estimate the incidence of diabetes mellitus in France
Cited by: 4
Author(s): Romana Haneef, Sofiane Kab, Rok Hrzic, Sonsoles Fuentes, Sandrine Fosse-Edorh, E. Cosson, Anne Gallay
Software Mentions: 7
Published: about 3 years ago

10.3390/brainsci10110851

Functional and Structural Connectome Features for Machine Learning Chemo-Brain Prediction in Women Treated for Breast Cancer with Chemotherapy
Cited by: 4
Author(s): Vincent Chin‐Hung Chen, Tung-Yeh Lin, Dah-Cherng Yeh, Jyh‐Wen Chai, Jun‐Cheng Weng
Software Mentions: 6
Published: about 4 years ago

10.1186/s12859-020-03891-x

Integrative approach for detecting membrane proteins
Cited by: 6
Author(s): Munira Alballa, Gregory Butler
Software Mentions: 6
Published: almost 4 years ago

10.1186/s12859-021-04339-6

Predicting chemotherapy response using a variational autoencoder approach
Cited by: 7
Author(s): Qi Wei, Stephen A. Ramsey
Software Mentions: 6
Published: about 3 years ago

10.1371/journal.pone.0240362

A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests
Cited by: 28
Author(s): Santiago Carbó-Valverde, Pedro J. Cuadros-Solas, Francisco Rodríguez-Fernández
Software Mentions: 6
Published: about 4 years ago

10.1371/journal.pgen.1009353

Fitness landscape of a dynamic RNA structure
Cited by: 5
Author(s): Valerie W. C. Soo, Jacob B. Swadling, Aline Faure, Tobias Warnecke
Software Mentions: 6
Published: almost 4 years ago

10.1371/journal.pcbi.1005910

Prediction of infectious disease epidemics via weighted density ensembles
Cited by: 100
Author(s): Evan L. Ray, Nicholas G. Reich
Software Mentions: 6
Published: almost 7 years ago

10.1038/s41598-021-98089-3

Biopsy bacterial signature can predict patient tissue malignancy
Cited by: 10
Author(s): Glenn Hogan, Julia Eckenberger, Neegam Narayanen, Sidney P. Walker, Marcus J. Claesson, Mark Corrigan, Deirdre O’Hanlon, Mark Tangney
Software Mentions: 6
Published: about 3 years ago

10.3389/fgene.2018.00237

Genomic Prediction of Breeding Values Using a Subset of SNPs Identified by Three Machine Learning Methods
Cited by: 109
Author(s): Bo Li, Nanxi Zhang, You‐Gan Wang, Andrew W. George, Antônio Reverter, Yutao Li
Software Mentions: 6
Published: over 6 years ago

10.1001/jamanetworkopen.2021.7737

Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016
Cited by: 31
Author(s): Tom van den Bosch, A. K. Warps, Michael P.M. de Neree tot Babberich, C Stamm, Bart F. Geerts, Louis Vermeulen, Michel W.J.M. Wouters, Jan Willem T. Dekker, Rob A.E.M. Tollenaar, Pieter J. Tanis, Daniël M. Miedema, Dutch ColoRectal Audit
Software Mentions: 6
Published: over 3 years ago

10.1371/journal.pbio.3000365

Dissecting the transcriptome landscape of the human fetal neural retina and retinal pigment epithelium by single-cell RNA-seq analysis
Cited by: 95
Author(s): Yuqiong Hu, Xiaoye Wang, Boqiang Hu, Yunuo Mao, Yidong Chen, Liying Yan, Jun Yong, Ji Dong, Wei Yuan, Wei Wang, Lu Wen, Jie Qiao, Fuchou Tang
Software Mentions: 6
Published: over 5 years ago

10.3390/diagnostics11091686

Radiomics and Machine Learning Can Differentiate Transient Osteoporosis from Avascular Necrosis of the Hip
Cited by: 15
Author(s): Michail E. Klontzas, Georgios C. Manikis, Katerina Nikiforaki, Evangelia E. Vassalou, Konstantinos Spanakis, Ioannis Stathis, George A. Kakkos, Nikolas Matthaiou, Aristeidis Zibis, Kostas Marias, Apostolos H. Karantanas
Software Mentions: 6
Published: about 3 years ago

10.1155/2017/6083072

An Update on Statistical Boosting in Biomedicine
Cited by: 24
Author(s): Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Sebastian Meyer, Olaf Gefeller
Software Mentions: 6
Published: almost 8 years ago

10.1186/s40537-020-00369-8

CatBoost for big data: an interdisciplinary review
Cited by: 258
Author(s): John Hancock, Taghi M. Khoshgoftaar
Software Mentions: 6
Published: about 4 years ago

10.1371/journal.pone.0245157

A comparison of machine learning models versus clinical evaluation for mortality prediction in patients with sepsis
Cited by: 38
Author(s): William P T M van Doorn, Patricia M. Stassen, Hella F. Borggreve, Maaike J. Schalkwijk, Judith Stoffers, Otto Bekers, Steven J.R. Meex
Software Mentions: 6
Published: almost 4 years ago

10.3390/jpm10030096

Prediction of Coronary Artery Calcium Score Using Machine Learning in a Healthy Population
Cited by: 7
Author(s): Jong-Seok Lee, Jae Sung Lim, Younggi Chu, Changhee Lee, Ohk Hyun Ryu, Hyun-Soo Choi, Yongsoon Park, Chul‐Ho Kim
Software Mentions: 6
Published: over 4 years ago

10.1186/s12933-019-0879-0

Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics
Cited by: 45
Author(s): Quincy A. Hathaway, Skyler M. Roth, Mark V. Pinti, Daniel C. Sprando, Amina Kunovac, Andrya J. Durr, Chris C. Cook, Garrett K. Fink, Tristen B. Cheuvront, Jasmine H. Grossman, Ghadah A. Aljahli, Andrew Taylor, Andrew Giromini, Jessica L. Allen, John M. Hollander
Software Mentions: 6
Published: over 5 years ago

10.1038/s41598-020-68343-1

Performance prediction of crosses in plant breeding through genotype by environment interactions
Cited by: 13
Author(s): Javad Ansarifar, Faezeh Akhavizadegan, Lizhi Wang
Software Mentions: 6
Published: over 4 years ago

10.3390/ijms22094394

Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey
Cited by: 25
Author(s): Antonio Jesús Banegas-Luna, Jorge Peña‐García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez‐Sánchez
Software Mentions: 6
Published: over 3 years ago

10.1371/journal.pone.0188310

Inattention in primary school is not good for your future school achievement—A pattern classification study
Cited by: 8
Author(s): Astri J. Lundervold, Tormod Bøe
Software Mentions: 5
Published: almost 7 years ago

10.1371/journal.pone.0229881

Impacts of climate change on agro-climatic suitability of major food crops in Ghana
Cited by: 38
Author(s): Abel Chemura, Bernhard Schauberger, Christoph Gornott
Software Mentions: 5
Published: over 4 years ago

10.1371/journal.pone.0243105

Machine learning-based e-commerce platform repurchase customer prediction model
Cited by: 14
Author(s): Cheng-Ju Liu, Tienshou Huang, Ping-Tsan Ho, Jui-Chan Huang, Ching-Tang Hsieh
Software Mentions: 5
Published: almost 4 years ago

10.1186/s13620-021-00182-6

Prediction of lameness using automatically recorded activity, behavior and production data in post-parturient Irish dairy cows
Cited by: 9
Author(s): G. M. Borghart, Luke O’Grady, Joris R Somers
Software Mentions: 5
Published: almost 4 years ago

10.1098/rsos.201795

Understanding spatial patterns in rape reporting delays
Cited by: 5
Author(s): Konstantin Klemmer, Daniel B. Neill, Stephen A. Jarvis
Software Mentions: 5
Published: almost 4 years ago

10.1371/journal.pcbi.1008856

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment
Cited by: 26
Author(s): Benjamin Deneu, Maximilien Servajean, Pierre Bonnet, Christophe Botella, François Munoz, Alexis Joly
Software Mentions: 5
Published: over 3 years ago

10.3390/e23091210

Mood Disorder Detection in Adolescents by Classification Trees, Random Forests and XGBoost in Presence of Missing Data
Cited by: 4
Author(s): E Turska, Szymon Jurga, Jarosław Piskorski
Software Mentions: 5
Published: about 3 years ago

10.2196/18001

Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort Study
Cited by: 4
Author(s): Lee Wheless, Laura X. Baker, L Edwards, Nimay Anand, Kelly A. Birdwell, Allison Hanlon, Mary‐Margaret Chren
Software Mentions: 5
Published: almost 4 years ago

10.3390/diagnostics11071299

Predicting Hemodynamic Failure Development in PICU Using Machine Learning Techniques
Cited by: 4
Author(s): Rosanna Irene Comoretto, Danila Azzolina, Angela Amigoni, Giorgia Stoppa, Federica Todino, Andrea Wolfler, Darío Gregori
Software Mentions: 5
Published: over 3 years ago

10.1186/s12859-021-04006-w

Comparative analysis and prediction of nucleosome positioning using integrative feature representation and machine learning algorithms
Cited by: 3
Author(s): Guoqing Han, Qi Li, Ying Li
Software Mentions: 5
Published: over 3 years ago

10.1186/s13073-019-0679-x

pTuneos: prioritizing tumor neoantigens from next-generation sequencing data
Cited by: 36
Author(s): Chi Zhou, Zhiting Wei, Zhanbing Zhang, Biyu Zhang, Chenyu Zhu, Ke Chen, Guohui Chuai, Sheng Qu, Lu Xie, Yong Gao, Qi Liu
Software Mentions: 5
Published: about 5 years ago

10.1186/s12859-021-04340-z

Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction
Cited by: 4
Author(s): Christian Staerk, Andreas Mayr
Software Mentions: 5
Published: about 3 years ago

10.1038/s41598-020-77367-6

An efficient machine learning-based approach for screening individuals at risk of hereditary haemochromatosis
Cited by: 4
Author(s): Patricia Martins Conde, Thomas Sauter, Thanh-Hung Nguyen
Software Mentions: 5
Published: almost 4 years ago

10.1371/journal.pone.0237747

Weighted-persistent-homology-based machine learning for RNA flexibility analysis
Cited by: 4
Author(s): Chi Seng Pun, Brandon Yung Sin Yong, Kelin Xia
Software Mentions: 5
Published: over 4 years ago

10.3389/fcvm.2021.619386

Low-Density Lipoprotein Cholesterol 4: The Notable Risk Factor of Coronary Artery Disease Development
Cited by: 7
Author(s): Dongmei Wu, Qiuju Yang, Baohua Su, Hao Jia, MA Hui-rong, Weilan Yuan, Junhui Gao, Feifei Ding, Yue Xu, Huifeng Wang, Jiangman Zhao, Bingqiang Li
Software Mentions: 5
Published: over 3 years ago

10.1002/advs.201903392

Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation
Cited by: 85
Author(s): Matthew Vassey, Grazziela P. Figueredo, David J. Scurr, Aliaksei Vasilevich, Steven Vermeulen, Aurélie Carlier, Jeni Luckett, Nick R. M. Beijer, Paul Williams, David A. Winkler, Jan de Boer, Amir M. Ghaemmaghami, Morgan R. Alexander
Software Mentions: 5
Published: over 4 years ago

Projects: cran: xgboost

Papers Mentioning xgboost 207