AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data

13 June 2021

Papers citing "AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data"

2 / 2 papers shown

Title
A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study Yilin Ning Siqi Li M. Ong F. Xie Bibhas Chakraborty Daniel Ting Nan Liu FAtt 32 22 0 10 Jan 2022
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies F. Xie Han Yuan Yilin Ning M. Ong Mengling Feng Wynne Hsu B. Chakraborty Nan Liu 32 84 0 21 Jul 2021