Reproducibility in machine learning for health research: Still a ways to go

Challenges to the Reproducibility of Machine Learning Models in Health Care

(2020) Andrew L. Beam et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

(2020) Myura Nagendran et al.   BMJ-British Medical Journal

The “All of Us” Research Program

(2019)   NEW ENGLAND JOURNAL OF MEDICINE

Reproducibility vs. Replicability: A Brief History of a Confused Terminology

(2018) Hans E. Plesser   Frontiers in Neuroinformatics

The eICU Collaborative Research Database, a freely available multi-center database for critical care research

(2018) Tom J. Pollard et al.   Scientific Data

Overview of the BioBank Japan Project: Study design and profile

(2017) Akiko Nagai et al.   JOURNAL OF EPIDEMIOLOGY

Synthea: An approach, method, and software mechanism for generating synthetic patients and the synthetic electronic health care record

(2017) Jason Walonoski et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

1,500 scientists lift the lid on reproducibility

(2016) Monya Baker   NATURE

MIMIC-III, a freely accessible critical care database

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

UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

(2015) Cathie Sudlow et al.   PLOS MEDICINE

Should Preregistration of Epidemiologic Study Protocols Become Compulsory?

(2012) Timothy L. Lash et al.   EPIDEMIOLOGY

Validation of a common data model for active safety surveillance research

(2011) J Marc Overhage et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Retraction rates are on the rise

(2008) Murat Cokol et al.   EMBO REPORTS