Articles

Significant EHR Feature-Driven T2D Inference: Predictive Machine Learning and Networks

in Big Data Networks

• Nicolo' Preo
• Enrico Capobianco

Predictive machine learning model for microvascular invasion identification in hepatocellular carcinoma based on the LI-RADS system

in Cancer Imaging and Image-directed Interventions

• Xue Yang
• Guoqing Shao
• Jiaojiao Liu
• Bin Liu
• Chao Cai
• Daobing Zeng
• Hongjun Li

An explainable predictive machine learning model of osteopenia for perimenopausal women based on clinical data: a retrospective single-center study

in Bone Research

• Xiaoling Zhuo
• Huixian Zeng
• Huoqiang Chen
• Yunlin Wang
• Zhenhua Feng
• Quanhui Liang

Drivers of success in Somaliland's preschools: a predictive machine learning model of leadership commitment and institutional capacity

in Leadership in Education

• Jibril Abdikadir Ali
• Befekadu Zeleke
• Bahir Adem Abdulahi
• Dawit Negassa Golga

A framework towards digital twins for type 2 diabetes

in Health Informatics

• Yue Zhang
• Guangrong Qin
• Boris Aguilar
• Noa Rappaport
• James T. Yurkovich
• Lance Pflieger
• Sui Huang
• Leroy Hood
• Ilya Shmulevich

On the Role of Bioinformatics and Data Science in Industrial Microbiome Applications

in Computational Genomics

• Bartholomeus van den Bogert
• Jos Boekhorst
• Walter Pirovano
• Ali May

Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets

in Digital Public Health

• Andrei Valeanu
• Dragos Paul Mihai
• Corina Andrei
• Ciprian Puscasu
• Alexandra Mihaela Ionica
• Miruna Ioana Hinoveanu
• Valentina Patricia Predoi
• Ema Bulancea
• Cornel Chirita
• Simona Negres

Behavioral science of voting in hypothetical utopia and dystopia scenarios: a predictive modeling approach

in Personality and Social Psychology

• Janne Kauttonen
• Jyrki Suomala

Interpretable machine learning methods for predictions in systems biology from omics data

in Metabolomics

• David Sidak
• Jana Schwarzerová
• Wolfram Weckwerth
• Steffen Waldherr

An Interpretable Predictive Model of Vaccine Utilization for Tanzania

in Machine Learning and Artificial Intelligence

• Ramkumar Hariharan
• Johnna Sundberg
• Giacomo Gallino
• Ashley Schmidt
• Drew Arenth
• Suvrit Sra
• Benjamin Fels

Machine learning based phenotyping of the response to mindfulness for chronic low back pain

in Spine Conditions

• Akshit Soota
• Angela C. Incollingo Rodriguez
• Benjamin C. Nephew
• Paula Gardiner
• Jean A. King
• Natalia E. Morone
• Carolina Ruiz

A Universal Screening Tool for Dyslexia by a Web-Game and Machine Learning

in Human-Media Interaction

• Maria Rauschenberger
• Ricardo Baeza-Yates
• Luz Rello

Uncovering the determinants of infant and toddler childcare demand in less-developed rural China: a machine learning perspective

in Children and Health

• Tingting Fan
• Jichang Guo

A multi-dataset exploratory framework for understanding digital behavior and substance use risk profiles

in Substance Use Disorders and Behavioral Addictions

• Perla Shiva Sindhu
• Modigari Narendra

Evaluation of Task fMRI Decoding With Deep Learning on a Small Sample Dataset

• Sunao Yotsutsuji
• Miaomei Lei
• Hiroyuki Akama

Multi-cohort ensemble learning framework for vaginal microbiome-based endometrial cancer detection

in Extra-intestinal Microbiome

• Dollina Dodani
• Aline Talhouk