Published on in Vol 4, No 3 (2017): Jul-Sept

PLOS ONE
Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance |
Global Transitions
A roadmap for semi-automatically extracting predictive and clinically meaningful temporal features from medical data for predictive modeling |
Health Information Science and Systems
Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection |
JMIR Medical Informatics
Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing |
Developing a Model to Predict Hospital Encounters for Asthma in Asthmatic Patients: Secondary Analysis |
JMIR Research Protocols
Using Temporal Features to Provide Data-Driven Clinical Early Warnings for Chronic Obstructive Pulmonary Disease and Asthma Care Management: Protocol for a Secondary Analysis |