Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: cran: caret

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/caret

Classification and Regression Training
140 versions
Latest release: about 1 year ago
302 dependent packages
202,694 downloads last month

Papers Mentioning caret 630

10.3390/diagnostics11050902
Detection of Degenerative Changes on MR Images of the Lumbar Spine with a Convolutional Neural Network: A Feasibility Study
Cited by: 12
Author(s): Nils Christian Lehnen, Robert Haase, Jennifer Faber, Theodor Rüber, Hartmut Vatter, Alexander Radbruch, Frederic Carsten Schmeel
Software Mentions: 2
Published: about 3 years ago
10.3389/fendo.2021.722656
Plasma Metabolome Profiling for the Diagnosis of Catecholamine Producing Tumors
Cited by: 7
Author(s): Juliane März, Max Kurlbaum, Oisin Roche-Lancaster, Timo Deutschbein, Mirko Peitzsch, Cornelia Prehn, Dirk Weismann, Mercedes Robledo, Jerzy Adamski, Martin Fassnacht, Meik Kunz, Matthias Kroiß
Software Mentions: 2
Published: over 2 years ago
10.1155/2020/9010937
Changes in Amino Acid and Acylcarnitine Plasma Profiles for Distinguishing Patients with Multiple Sclerosis from Healthy Controls
Cited by: 4
Author(s): Marat F. Kasakin, Artem D. Rogachev, E. V. Predtechenskaya, Vladimir J Zaigraev, Vladimir V. Koval, Andrey G. Pokrovsky
Software Mentions: 2
Published: almost 4 years ago
10.3390/s18092857
Towards an Efficient One-Class Classifier for Mobile Devices and Wearable Sensors on the Context of Personal Risk Detection
Cited by: 3
Author(s): Luis A. Trejo, Ari Yair Barrera-Animas
Software Mentions: 2
Published: almost 6 years ago
10.1186/s13054-019-2351-7
Emergency department triage prediction of clinical outcomes using machine learning models
Cited by: 222
Author(s): Yoshihiko Raita, Tadahiro Goto, Mohammad Kamal Faridi, David F.M. Brown, Carlos A. Camargo, Kohei Hasegawa
Software Mentions: 2
Published: over 5 years ago
10.2196/12509
Classification and Regression Tree and Computer Adaptive Testing in Cardiac Rehabilitation: Instrument Validation Study
Cited by: 3
Author(s): Linda W. P. Peute, Thom Scheeve, Monique W. M. Jaspers
Software Mentions: 2
Published: over 4 years ago
10.1186/s13065-015-0131-2
Prediction of 1-octanol solubilities using data from the Open Notebook Science Challenge
Cited by: 3
Author(s): Michael A. Buonaiuto, Andrew S. Lang
Software Mentions: 2
Published: over 8 years ago
10.3390/s20247096
Assessment of Machine Learning Models to Identify Port Jackson Shark Behaviours Using Tri-Axial Accelerometers
Cited by: 9
Author(s): Julianna Kadar, Monique Ladds, Joanna Day, Brianne Lyall, Culum Brown
Software Mentions: 2
Published: over 3 years ago
10.1186/s13321-017-0200-8
Predicting drug–drug interactions through drug structural similarities and interaction networks incorporating pharmacokinetics and pharmacodynamics knowledge
Cited by: 76
Author(s): Takako Takeda, Hao Ming, Tiejun Cheng, Stephen H. Bryant, Yanli Wang
Software Mentions: 2
Published: about 7 years ago
10.1371/journal.pone.0173060
MicroRNA hsa-miR-134 is a circulating biomarker for mesial temporal lobe epilepsy
Cited by: 41
Author(s): Simoni Helena Avansini, Beatriz Pereira De Sousa Lima, Rodrigo Secolin, Marilza L. Santos, Ana Carolina Coan, André Schwambach Vieira, Fábio R. Torres, Benilton Carvalho, Marina K. M. Alvim, Márcia Elisabete Morita, Clarissa Lin Yasuda, Luciana Ramalho Pimentel‐Silva, D.B. Dogini, Fábio Rogério, Fernando Cendes, Íscia Lopes-Cendes
Software Mentions: 2
Published: about 7 years ago
10.1371/journal.pone.0178608
An indicator cell assay for blood-based diagnostics
Cited by: 0
Author(s): Samuel A. Danziger, Leslie R. Miller, Karanbir Singh, G. Adam Whitney, Elaine R. Peskind, Ge Li, Robert J. Lipshutz, John D. Aitchison, Jennifer J. Smith
Software Mentions: 2
Published: almost 7 years ago
10.1038/s41598-021-83911-9
Machine learning methods to predict amyloid positivity using domain scores from cognitive tests
Cited by: 9
Author(s): Guogen Shan, Charles Bernick, Jessica Caldwell, Aaron Ritter
Software Mentions: 2
Published: over 3 years ago
10.1002/cjp2.53
Optimized p53 immunohistochemistry is an accurate predictor of<i>TP53</i>mutation in ovarian carcinoma
Cited by: 262
Author(s): Martin Köbel, Anna Piskorz, Sandra Lee, Shuhong Lui, Cécile Le Page, Francesco Marass, Nitzan Rosenfeld, Anne-Marie Mes-Masson, James D. Brenton
Software Mentions: 2
Published: almost 8 years ago
10.1038/s41598-020-63739-5
Broad-scale morpho-functional traits of the mandible suggest no hard food adaptation in the hominin lineage
Cited by: 13
Author(s): Jordi Marcé‐Nogué, Thomas A. Püschel, Alexander Daasch, Thomas M. Kaiser
Software Mentions: 2
Published: about 4 years ago
10.1038/s41598-019-55523-x
Identification of clinical and urine biomarkers for uncomplicated urinary tract infection using machine learning algorithms
Cited by: 32
Author(s): Amal Gadalla, Ida M. Friberg, Ann Kift-Morgan, Jingjing Zhang, Matthias Eberl, Nicholas Topley, Ian Weeks, Simone Cuff, Mandy Wootton, Micaela Gal, Gita Parekh, Paul J. Davis, Clive James Gregory, Kerenza Hood, Kathryn Hughes, Christopher Collett Butler, Nick Francis
Software Mentions: 2
Published: over 4 years ago
10.3390/foods9081040
13C NMR-Based Chemical Fingerprint for the Varietal and Geographical Discrimination of Wines
Cited by: 10
Author(s): Alberto Mannu, Ioannis K. Karabagias, Maria Enrica Di Pietro, Salvatore Baldino, Vassilios K. Karabagias, Anastasia V. Badeka
Software Mentions: 2
Published: almost 4 years ago
10.1186/s40662-021-00244-4
Development of a classification system based on corneal biomechanical properties using artificial intelligence predicting keratoconus severity
Cited by: 15
Author(s): Robert Herber, Lutz E Pillunat, Frederik Raiskup
Software Mentions: 2
Published: about 3 years ago
10.1001/jamanetworkopen.2019.2884
Identification of Factors Associated With Variation in US County-Level Obesity Prevalence Rates Using Epidemiologic vs Machine Learning Models
Cited by: 28
Author(s): David Scheinker, Arelí Valencia, Fátima Rodríguez
Software Mentions: 2
Published: about 5 years ago
10.1186/s12876-021-01843-0
Integrated analysis of the functions and prognostic values of RNA binding proteins in hepatocellular carcinoma
Cited by: 1
Author(s): Zeng-Hong Wu, Hongming Huang, Dongliang Yang
Software Mentions: 2
Published: almost 3 years ago
10.3390/jpm11080695
Machine Learning Approaches to Predict In-Hospital Mortality among Neonates with Clinically Suspected Sepsis in the Neonatal Intensive Care Unit
Cited by: 9
Author(s): Jen Fu Hsu, Yu Lin Chang, Hui Cheng, Chien-Chang Yang, Chun Yuan Lin, Shih Ming Chu, Hsuan Rong Huang, Ming Chou Chiang, Hsiao Chin Wang, Ming-Horng Tsai
Software Mentions: 2
Published: almost 3 years ago
10.1186/s12879-020-05287-x
The utility of cerebrospinal fluid white cell count during the prognostic assessment for cryptococcal meningitis patients: a retrospective study
Cited by: 6
Author(s): Junyan Qu, Jingwen Jiang, Xiaoju Lv
Software Mentions: 2
Published: almost 4 years ago
10.1186/s13058-016-0745-x
Predicted 25-hydroxyvitamin D in relation to incidence of breast cancer in a large cohort of African American women
Cited by: 20
Author(s): Julie R. Palmer, Hanna Gerlovin, Traci N. Bethea, Kimberly A. Bertrand, Michael F. Holick, Edward N. Ruiz-Narvaez, Lauren A. Wise, Stephen A. Haddad, Lucile L. Adams‐Campbell, Harvey W. Kaufman, Lynn Rosenberg, Yvette C. Cozier
Software Mentions: 2
Published: almost 8 years ago
10.1186/s12916-017-0963-9
An exploration of mortality risk factors in non-severe pneumonia in children using clinical data from Kenya
Cited by: 16
Author(s): Timothy Tuti, Ambrose Agweyu, Paul Mwaniki, Niels Peek, Mike English
Software Mentions: 2
Published: over 6 years ago
10.17305/bjbms.2020.5146
Machine learning as the new approach in understanding biomarkers of suicidal behavior
Cited by: 0
Author(s): Alja Videtič Paska, Katarina Kouter
Software Mentions: 2
Published: over 3 years ago
10.3389/fpls.2021.657578
Spectroscopic Estimation of N Concentration in Wheat Organs for Assessing N Remobilization Under Different Irrigation Regimes
Cited by: 2
Author(s): Wei Li, Xiaobin Zhou, Kang Yu, Zhen Zhang, Yang Liu, Naiyue Hu, Ying Liu, Chunsheng Yao, Xiaoguang Yang, Zhimin Wang, Yinghua Zhang
Software Mentions: 2
Published: about 3 years ago
10.1186/s40246-021-00352-1
A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants
Cited by: 12
Author(s): Maria‐Theodora Pandi, Maria Koromina, Iordanis Tsafaridis, Sotirios Patsilinakos, Evangelos Christoforou, Peter J. van der Spek, George P. Patrinos
Software Mentions: 2
Published: almost 3 years ago
10.3389/fmicb.2020.601407
Metagenomics-Based Approach to Source-Attribution of Antimicrobial Resistance Determinants – Identification of Reservoir Resistome Signatures
Cited by: 21
Author(s): Ana Sofia Ribeiro Duarte, Timo Röder, Liese Van Gompel, Thomas Nordahl Petersen, Rasmus Borup Hansen, Inge M. Hansen, Alex Bossers, Frank Møller Aarestrup, Jaap A. Wagenaar, Tine Hald
Software Mentions: 2
Published: over 3 years ago
10.1371/journal.pone.0217854
Seasonal temperatures and hydrological conditions improve the prediction of West Nile virus infection rates in Culex mosquitoes and human case counts in New York and Connecticut
Cited by: 33
Author(s): Alexander C. Keyel, O. Elison Timm, P. Bryon Backenson, Catharine Prussing, Sarah Quiñones, Kathleen A. McDonough, Mathias Vuille, Jan E. Conn, Philip M. Armstrong, Theodore G. Andreadis, Laura D. Kramer
Software Mentions: 2
Published: about 5 years ago
10.1038/s41598-019-55439-6
Deep learning and taphonomy: high accuracy in the classification of cut marks made on fleshed and defleshed bones using convolutional neural networks
Cited by: 34
Author(s): Gabriel Cifuentes-Alcobendas, Manuel Domı́nguez-Rodrigo
Software Mentions: 2
Published: over 4 years ago