Articles

Interpretable machine learning for precision cognitive aging

• Abdoul Jalil Djiberou Mahamadou
• Emma A. Rodrigues
• Vasily Vakorin
• Violaine Antoine
• Sylvain Moreno

Interpretable machine learning comprehensive human gait deterioration analysis

• Abdullah S. Alharthi

Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction

in Endovascular and Interventional Neurology

• Mohamed Sobhi Jabal
• Olivier Joly
• David Kallmes
• George Harston
• Alejandro Rabinstein
• Thien Huynh
• Waleed Brinjikji

Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis

in Systems Immunology

• Jingtai Ma
• Yiting Fang
• Shiqi Li
• Lilian Zeng
• Siyi Chen
• Zhifeng Li
• Guiyuan Ji
• Xingfen Yang
• Wei Wu

Interpretable Machine Learning Reveals Dissimilarities Between Subtypes of Autism Spectrum Disorder

in Computational Genomics

• Mateusz Garbulowski
• Karolina Smolinska
• Klev Diamanti
• Gang Pan
• Khurram Maqbool
• Lars Feuk
• Jan Komorowski

Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model

in Coronary Artery Disease

• Qingqing Lin
• Wenxiang Zhao
• Hailin Zhang
• Wenhao Chen
• Sheng Lian
• Qinyun Ruan
• Zhaoyang Qu
• Yimin Lin
• Dajun Chai
• Xiaoyan Lin

Identifying diagnostic indicators for type 2 diabetes mellitus from physical examination using interpretable machine learning approach

in Clinical Diabetes

• Xiang Lv
• Jiesi Luo
• Wei Huang
• Hui Guo
• Xue Bai
• Pijun Yan
• Zongzhe Jiang
• Yonglin Zhang
• Runyu Jing
• Qi Chen

A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth

in Medicine and Public Health

• Helena Coggan
• Helena Andres Terre
• Pietro Liò

Development of an interpretable machine learning model for predicting sarcopenia in patients undergoing maintenance hemodialysis

in Nephrology

• Shuqin Liu
• Xingyu Zhu
• Zhixin Wang
• Wenwu Tang
• Ying Zhang
• Huaming Xian
• Mi Li
• Xisheng Xie

Developing an interpretable machine learning predictive model of chronic obstructive pulmonary disease by serum PFAS concentration

in Environmental Health and Exposome

• Xiaomei Shao
• Ling Zhang
• Yuting Wang
• Youmei Ying
• Xueqin Chen

Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization

in Geohazards and Georisks

• Wanrui Hu
• Kai Wu
• Heng Liu
• Weibang Luo
• Xingxing Li
• Peng Guan

Disease classification via interpretable machine learning based on multi-center routine coagulation test

in Molecular Diagnostics and Therapeutics

• Feng Dong
• Yaqiong Zhang
• Weibu Chen
• Changmin Wang
• Lei Zhang
• Xiaoling Gao
• Xiaoli Zhang
• Minghua Jiang
• Guobin Xu
• Ruichuang Yang

An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients

in Clinical and Diagnostic Microbiology and Immunology

• Shu Yang
• Laiyu Zou
• Huixin Liang
• Xiaohong Xu
• Xiaoling Chen

Construction and interpretation of tobacco leaf position discrimination model based on interpretable machine learning

in Technical Advances in Plant Science

• Ranran Kou
• Cong Wang
• Jinxia Liu
• Ran Wan
• Zhe Jin
• Le Zhao
• Youjie Liu
• Junwei Guo
• Feng Li
• Hongbo Wang

Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke

in Stroke

• Joonwon Lee
• Kang Min Park
• Seongho Park

Predicting fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learning

in Pathogen and Host Biology of Tuberculosis

• Ethan Bustad
• Edson Petry
• Oliver Gu
• Braden T. Griebel
• Tige R. Rustad
• David R. Sherman
• Jason H. Yang
• Shuyi Ma