A predictive framework for modeling healthcare data with evolving clinical interventions

DOI10.1002/sam.11262OpenAlexW1958889900WikidataQ60491089 ScholiaQ60491089MaRDI QIDQ4970004

Sunil Kumar Gupta, Santu Rana, Svetha Venkatesh, Dinh Phung

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11262

zbMATH Keywords

data miningmachine learninghealthcare data modeling

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (1)

Application of state-space model with skew-\(t\) measurement noise to blood test value prediction

Uses Software

• WEKA
• PRMLT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Data mining in bioinformatics
• Exploiting temporal relations in mining hepatitis data
• Hierarchical Dirichlet Processes
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• Gibbs Sampling Methods for Stick-Breaking Priors
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests

This page was built for publication: A predictive framework for modeling healthcare data with evolving clinical interventions