Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

(2022) Lin Lawrence Guo et al.   Scientific Reports

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

(2021) Lin Lawrence Guo et al.   Applied Clinical Informatics

Causality-based Feature Selection

(2020) Kui Yu et al.   ACM COMPUTING SURVEYS

The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models

(2019) Peter C. Austin et al.   STATISTICS IN MEDICINE

Methods for updating a risk prediction model for cardiac surgery: a statistical primer

(2018) Sabrina Siregar et al.   Interactive Cardiovascular and Thoracic Surgery

The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

(2016) Mervyn Singer et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

A new framework to enhance the interpretation of external validation studies of clinical prediction models

(2015) Thomas P.A. Debray et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

A causal feature selection algorithm for stock prediction modeling

(2014) Xiangzhou Zhang et al.   NEUROCOMPUTING

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING

A unifying view on dataset shift in classification

(2011) Jose G. Moreno-Torres et al.   PATTERN RECOGNITION