pypi: scikit-learn | Projects | Ecosyste.ms: Papers

10.3390/jcm8122149

Predicting Long-Term Health-Related Quality of Life after Bariatric Surgery Using a Conventional Neural Network: A Study Based on the Scandinavian Obesity Surgery Registry
Cited by: 15
Author(s): Yang Cao, Mustafa Raoof, Scott Montgomery, Johan Ottosson, Ingmar Näslund
Software Mentions: 1
Published: almost 5 years ago

10.1186/s12880-021-00560-0

Evaluating treatment response to neoadjuvant chemoradiotherapy in rectal cancer using various MRI-based radiomics models
Cited by: 18
Author(s): Zhihui Li, Xiaolu Ma, Shoukuan Fu, Haidi Lu, Yuwei Xia, Jianping Lu
Software Mentions: 1
Published: almost 4 years ago

10.3390/jcm9072105

Familial Dysalbuminemic Hyperthyroxinemia: An Underdiagnosed Entity
Cited by: 8
Author(s): Xavier Dieu, Nathalie Bouzamondo, Claire Briet, Frédéric Illouz, Valérie Moal, F Casson, Natacha Bouhours‐Nouet, Pascal Reynier, Régis Coutant, Patrice Rodien, Delphine Mirebeau‐Prunier
Software Mentions: 1
Published: over 4 years ago

10.1186/s12920-020-00779-w

TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Cited by: 7
Author(s): Trinh Trung Duong Nguyen, Nguyen Quoc Khanh Le, Quang‐Thai Ho, Dinh-Van Phan, Yu‐Yen Ou
Software Mentions: 1
Published: about 4 years ago

10.3390/jcm9124013

Deep Convolutional Neural Network-Assisted Feature Extraction for Diagnostic Discrimination and Feature Visualization in Pancreatic Ductal Adenocarcinoma (PDAC) versus Autoimmune Pancreatitis (AIP)
Cited by: 25
Author(s): Sebastian Ziegelmayer, Georgios Kaissis, F Harder, Friederike Jungmann, Tamara Müller, Marcus R. Makowski, Rickmer Braren
Software Mentions: 1
Published: almost 4 years ago

10.3390/jcm10010060

Hybrid E/M Phenotype(s) and Stemness: A Mechanistic Connection Embedded in Network Topology
Cited by: 24
Author(s): Satwik Pasani, Sarthak Sahoo, Mohit Kumar Jolly
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12920-019-0607-3

A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data
Cited by: 21
Author(s): Daichi Shigemizu, Shintaro Akiyama, Yuya Asanomi, Keith A. Boroevich, Alok Sharma, Tatsuhiko Tsunoda, Takashi Sakurai, Kouichi Ozaki, Takahiro Ochiya, Shumpei Niida
Software Mentions: 1
Published: about 5 years ago

10.3390/ijerph17145145

Mapping the Potential Distribution of Major Tick Species in China
Cited by: 9
Author(s): Xin Yang, Gengfeng Zheng, Tiangang Zhou, Jian Zhang, Luqi Wang, Lingjun Xiao, Hongjuan Wu, Sen Li
Software Mentions: 1
Published: over 4 years ago

10.3390/jcm10194437

The Accuracy of a Screening System for Carpal Tunnel Syndrome Using Hand Drawing
Cited by: 5
Author(s): Takuro Watanabe, Tatsuya Koyama, Eriku Yamada, Akimoto Nimura, Koji Fujita, Yuta Sugiura
Software Mentions: 1
Published: about 3 years ago

10.1128/JCM.00273-20

Species Identification and Antibiotic Resistance Prediction by Analysis of Whole-Genome Sequence Data by Use of ARESdb: an Analysis of Isolates from the Unyvero Lower Respiratory Tract Infection Trial
Cited by: 34
Author(s): Inês M. Ferreira, Stephan Beisken, Lukas Lueftinger, Thomas Weinmaier, Matthias Klein, Johannes Bacher, Robin Patel, Arndt von Haeseler, Andreas E. Posch
Software Mentions: 1
Published: over 4 years ago

10.1007/s10822-017-0020-y

Proteus: a random forest classifier to predict disorder-to-order transitioning binding regions in intrinsically disordered proteins
Cited by: 27
Author(s): Sankar Basu, Fredrik Söderquist, Björn Wallner
Software Mentions: 1
Published: over 7 years ago

10.1007/s10822-020-00314-0

Interpretation of machine learning models using shapley values: application to compound potency and multi-target activity predictions
Cited by: 197
Author(s): Raquel Rodríguez-Pérez, Jürgen Bajorath
Software Mentions: 1
Published: over 4 years ago

10.1007/s10822-021-00376-8

Evaluation of multi-target deep neural network models for compound potency prediction under increasingly challenging test conditions
Cited by: 9
Author(s): Raquel Rodríguez-Pérez, Jürgen Bajorath
Software Mentions: 1
Published: almost 4 years ago

10.3390/ijerph17218187

A Feasibility Study Using a Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in Adolescent Therapy Sessions
Cited by: 18
Author(s): Joshua Cohen, Jennifer Wright-Berryman, Lesley Rohlfs, Donald Wright, M. Karen Campbell, Debbie Gingrich, Daniel Santel, John Pestian
Software Mentions: 1
Published: about 4 years ago

10.1186/s12920-020-00783-0

Predicting miRNA-disease associations using a hybrid feature representation in the heterogeneous network
Cited by: 7
Author(s): Minghui Liu, Jingyi Yang, Jiacheng Wang, Lei Deng
Software Mentions: 1
Published: about 4 years ago

10.1186/s12920-018-0388-0

Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
Cited by: 38
Author(s): Yasser EL-Manzalawy, Tsung Yu Hsieh, Manu Shivakumar, Dokyoon Kim, Vasant Honavar
Software Mentions: 1
Published: about 6 years ago

10.1089/end.2019.0509

Support System of Cystoscopic Diagnosis for Bladder Cancer Based on Artificial Intelligence
Cited by: 52
Author(s): Atsushi Ikeda, Hirokazu Nosato, Yuta Kochi, Takahiro Kojima, Koji Kawai, Hidenori Sakanashi, Masahiro Murakawa, Hiroyuki Nishiyama
Software Mentions: 1
Published: over 4 years ago

10.1007/s00167-020-06418-2

Machine-learning algorithm that can improve the diagnostic accuracy of septic arthritis of the knee
Cited by: 4
Author(s): Eun-Seok Choi, Jae Ang Sim, Young Gon Na, Jong Keun Seon, Hyun Dae Shin
Software Mentions: 1
Published: almost 4 years ago

10.1371/journal.ppat.1009015

A non-enveloped arbovirus released in lysosome-derived extracellular vesicles induces super-infection exclusion
Cited by: 12
Author(s): Thomas Labadie, Polly Roy
Software Mentions: 1
Published: about 4 years ago

10.3390/ani11092660

Training and Validating a Machine Learning Model for the Sensor-Based Monitoring of Lying Behavior in Dairy Cows on Pasture and in the Barn
Cited by: 9
Author(s): Lara Schmeling, Golnaz Elmamooz, Phan Thai Hoang, Anastasiia Kozar, Daniela Nicklas, Michael Sünkel, S. Thurner, E. Rauch
Software Mentions: 1
Published: about 3 years ago

10.1145/3308558.3313432

Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal
Cited by: 23
Author(s): Mitchell Gordon, Tim Althoff, Jure Leskovec
Software Mentions: 1
Published: over 5 years ago

10.1073/pnas.1802705116

Optimal errors and phase transitions in high-dimensional generalized linear models
Cited by: 138
Author(s): Jean Barbier, Florent Krza̧kała, Nicolas Macris, Marco Leo, Lenka Zdeborová
Software Mentions: 1
Published: over 5 years ago

10.1073/pnas.2002660117

Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants
Cited by: 54
Author(s): Sumaiya Iqbal, Eduardo Pérez‐Palma, Jakob Berg Jespersen, Patrick May, David Hoksza, Henrike O. Heyne, Shehab Ahmed, Zaara Tasnim Rifat, M. Sohel Rahman, Kasper Lage, Aarno Palotie, Jeffrey R. Cottrell, Florence F. Wagner, Mark J. Daly, Arthur J. Campbell, Dennis Lal
Software Mentions: 1
Published: about 4 years ago

10.1098/rsos.192043

Decoding and encoding models reveal the role of mental simulation in the brain representation of meaning
Cited by: 6
Author(s): David Soto, Usman Ayub Sheikh, Ning Mei, Roberto Santana
Software Mentions: 1
Published: over 4 years ago

10.1148/ryai.2021200279

Accelerating Whole-Body Diffusion-weighted MRI with Deep Learning–based Denoising Image Filters
Cited by: 6
Author(s): Konstantinos Zormpas-Petridis, Nina Tunariu, Andra Curcean, Christina Messiou, Sebastian Curcean, David J. Collins, Julie Hughes, Yann Jamin, Dow‐Mu Koh, Matthew Blackledge
Software Mentions: 1
Published: about 3 years ago

10.1016/j.rsase.2020.100413

Detecting functional field units from satellite images in smallholder farming systems using a deep learning based computer vision approach: A case study from Bangladesh
Cited by: 10
Author(s): Ruoyu Yang, Zia Ahmed, Urs Schulthess, Mustafa Kamal, Rahul Rai
Software Mentions: 1
Published: about 4 years ago

10.3390/ijerph18136750

Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19
Cited by: 3
Author(s): Vito Janko, Gašper Slapničar, Erik Dovgan, Nina Reščič, Tine Kolenik, Martin Gjoreski, Maj Smerkol, Matjaž Gams, Mitja Luštrek
Software Mentions: 1
Published: over 3 years ago

10.1186/s12920-018-0436-9

CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features
Cited by: 14
Author(s): Xuan Zou, Jun Wang, Jing Li, Wen Chen, Changning Liu
Software Mentions: 1
Published: almost 6 years ago

10.1186/s12916-020-01860-y

Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies
Cited by: 37
Author(s): Peng Xue, Chaohua Tang, Qing Li, Yuexiang Li, Yu Shen, Yuqian Zhao, Jiawei Chen, Jianrong Wu, Longyu Li, Wei Wang, Yucong Li, Xiaoli Cui, Shaokai Zhang, Wenhua Zhang, Xun Zhang, Kai Ma, Yefeng Zheng, Tianyi Qian, Man Tat Alexander Ng, Zhihua Liu, You‐Lin Qiao, Yu Jiang, Fen Zhao
Software Mentions: 1
Published: almost 4 years ago

10.1186/s12916-019-1405-7

Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR data
Cited by: 13
Author(s): Yanfei Zhang, S. Mark Poler, Jiang Li, Vida Abedi, Sarah A. Pendergrass, Marc S. Williams, Ming Ta Michael Lee
Software Mentions: 1
Published: about 5 years ago

Ecosyste.ms: Papers

Projects: pypi: scikit-learn

Papers Mentioning scikit-learn 2,431