Articles

Solubilization of inclusion bodies: insights from explainable machine learning approaches

in Computational Methods in Chemical Engineering

• Cornelia Walther
• Michael C. Martinetz
• Anja Friedrich
• Anne-Luise Tscheließnig
• Martin Voigtmann
• Alexander Jung
• Cécile Brocard
• Erich Bluhmki
• Jens Smiatek

Principles and Practice of Explainable Machine Learning

in Data Mining and Management

• Vaishak Belle
• Ioannis Papantonis

Development and validation of an explainable machine learning model for predicting the risk of sleep disorders in older adults with multimorbidity: a cross-sectional study

in Aging and Public Health

• Xia Wang
• Dan Zhang
• Liu Lu
• Shujie Meng
• Yong Li
• Rong Zhang
• Jingjie Zhou
• Qian Yu
• Li Zeng
• Jiang Zhao

An explainable machine learning model predicts pediatric varicella encephalitis

in Clinical Infectious Diseases

• Xiaoxiao Liu
• Danlei Mou
• Chongyang Yin
• Bo Liu
• Kaihua Dong
• Chunjie Guo
• Yang Zhao

Explainable machine learning to predict the cost of capital

in AI in Finance

• Niklas Bussmann
• Paolo Giudici
• Alessandra Tanda
• Ellen Pei-Yi Yu

Postpartum depression risk prediction using explainable machine learning algorithms

in Obstetrics and Gynecology

• Xudong Huang
• Lifeng Zhang
• Chenyang Zhang
• Jing Li
• Chenyang Li

Explainable machine learning radiomics model for Primary Progressive Aphasia classification

• Benedetta Tafuri
• Roberto De Blasi
• Salvatore Nigro
• Giancarlo Logroscino

An Explainable Machine Learning Framework for Cardiovascular Risk Prediction Using Structured Health Data

in Medicine and Public Health

• VALERU VISION PAUL
• JAFAR ALI IBRAHIM Syed Masood

Explainable machine learning for predicting recurrence-free survival in endometrial carcinosarcoma patients

in Medicine and Public Health

• Samantha Bove
• Francesca Arezzo
• Gennaro Cormio
• Erica Silvestris
• Alessia Cafforio
• Maria Colomba Comes
• Annarita Fanizzi
• Giuseppe Accogli
• Gerardo Cazzato
• Giorgio De Nunzio

Explainable machine learning for predicting neurological outcome in hemorrhagic and ischemic stroke patients in critical care

in Neurocritical and Neurohospitalist Care

• Huawei Wei
• Xingshuai Huang
• Yixuan Zhang
• Guowei Jiang
• Ruifeng Ding
• Mengqiu Deng
• Liangtian Wei
• Hongbin Yuan

Evaluation of nutritional status and clinical depression classification using an explainable machine learning method

in Nutritional Epidemiology

• Payam Hosseinzadeh Kasani
• Jung Eun Lee
• Chihyun Park
• Cheol-Heui Yun
• Jae-Won Jang
• Sang-Ah Lee

Editorial: Interpretable and explainable machine learning models in oncology

in Radiation Oncology

• William Thomas Hrinivich
• Tonghe Wang
• Chunhao Wang

Explainable Machine Learning Model to Prediction EGFR Mutation in Lung Cancer

in Thoracic Oncology

• Ruiyuan Yang
• Xingyu Xiong
• Haoyu Wang
• Weimin Li

A multicenter explainable machine learning analysis of autoimmune disease comorbidity in ankylosing spondylitis

in Systems Immunology

• Jichong Zhu
• Chengqian Huang
• Yang Lin
• Tianyou Chen
• Lei Ren
• Jiarui Chen
• Jiang Xue
• Hao Li
• Hong Cheng
• Xinli Zhan

Explainable machine learning model to predict refeeding syndrome in patients with severe acute pancreatitis

in Clinical Nutrition

• Cui Wu
• Shuangshuang Jing
• Dinghui Guo
• Congcong Cheng
• Sujuan Fei

Development of an explainable machine learning model for predicting the occurrence of advanced diabetic kidney disease

in Clinical Diabetes

• Kaiwen Zheng
• Lun Liu
• Jianbin You
• Jingyi Su
• Ling Li
• Jiahao Chen
• Liangyuan Chen
• Yanfen Zeng
• Jinhua Chen
• Gang Chen