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

EHRtemporalVariability: delineating temporal data-set shifts in electronic health records

(2020) Carlos Sáez et al.   GigaScience

Artificial intelligence, bias and clinical safety

(2019) Robert Challen et al.   BMJ Quality & Safety

The Proliferation of Reports on Clinical Scoring Systems

(2019) Douglas W. Challener et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Multitask learning and benchmarking with clinical time series data

(2019) Hrayr Harutyunyan et al.   Scientific Data

Changing how we think about healthcare improvement

(2018) Jeffrey Braithwaite   BMJ-British Medical Journal

Changing how we think about healthcare improvement

(2018) Jeffrey Braithwaite   BMJ-British Medical Journal

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

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

Calibration drift in regression and machine learning models for acute kidney injury

(2017) Sharon E Davis et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Barriers to Achieving Economies of Scale in Analysis of EHR Data

(2017) Mark Sendak et al.   Applied Clinical Informatics

Improved Prediction by Dynamic Modeling

(2016) Sabrina Siregar et al.  

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

(2016) Wei Luo et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A review of statistical updating methods for clinical prediction models

(2016) Ting-Li Su et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Improved Prediction by Dynamic Modeling

(2016) Sabrina Siregar et al.   Circulation-Cardiovascular Quality and Outcomes

MIMIC-III, a freely accessible critical care database

(2016) Alistair E.W. Johnson et al.   Scientific Data

Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators

(2015) Andreas N. Strobl et al.   JOURNAL OF BIOMEDICAL INFORMATICS

A survey on concept drift adaptation

(2014) João Gama et al.   ACM COMPUTING SURVEYS

Dynamic Prediction Modeling Approaches for Cardiac Surgery

(2013) Graeme L. Hickey et al.  

A unifying view on dataset shift in classification

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

Updating methods improved the performance of a clinical prediction model in new patients

(2007) K.J.M. Janssen et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY