Literature DB >> 33762434

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

Matthew B A McDermott1, Shirly Wang2,3, Nikki Marinsek4, Rajesh Ranganath5, Luca Foschini4, Marzyeh Ghassemi2,6,7.   

Abstract

Machine learning for health must be reproducible to ensure reliable clinical use. We evaluated 511 scientific papers across several machine learning subfields and found that machine learning for health compared poorly to other areas regarding reproducibility metrics, such as dataset and code accessibility. We propose recommendations to address this problem.
Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Mesh：

Year:  2021        PMID： 33762434     DOI： 10.1126/scitranslmed.abb1655

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN： 1946-6234            Impact factor:   17.956


  25 in total

1.  Increasing the reproducibility of research will reduce the problem of apophenia (and more).

Authors:  Philip M Jones; Janet Martin
Journal:  Can J Anaesth       Date:  2021-05-07       Impact factor: 5.063

2.  Code and Data Sharing Practices in the Radiology Artificial Intelligence Literature: A Meta-Research Study.

Authors:  Kesavan Venkatesh; Samantha M Santomartino; Jeremias Sulam; Paul H Yi
Journal:  Radiol Artif Intell       Date:  2022-08-17

3.  Accuracy comparison between statistical and computational classifiers applied for predicting student performance in online higher education.

Authors:  Rosa Leonor Ulloa Cazarez
Journal:  Educ Inf Technol (Dordr)       Date:  2022-05-17

Review 4.  12 Plagues of AI in Healthcare: A Practical Guide to Current Issues With Using Machine Learning in a Medical Context.

Authors:  Stephane Doyen; Nicholas B Dadario
Journal:  Front Digit Health       Date:  2022-05-03

5.  Machine learning and health need better values.

Authors:  Marzyeh Ghassemi; Shakir Mohamed
Journal:  NPJ Digit Med       Date:  2022-04-22

6.  Artificial intelligence-based strategies to identify patient populations and advance analysis in age-related macular degeneration clinical trials.

Authors:  Antonio Yaghy; Aaron Y Lee; Pearse A Keane; Tiarnan D L Keenan; Luisa S M Mendonca; Cecilia S Lee; Anne Marie Cairns; Joseph Carroll; Hao Chen; Julie Clark; Catherine A Cukras; Luis de Sisternes; Amitha Domalpally; Mary K Durbin; Kerry E Goetz; Felix Grassmann; Jonathan L Haines; Naoto Honda; Zhihong Jewel Hu; Christopher Mody; Luz D Orozco; Cynthia Owsley; Stephen Poor; Charles Reisman; Ramiro Ribeiro; Srinivas R Sadda; Sobha Sivaprasad; Giovanni Staurenghi; Daniel Sw Ting; Santa J Tumminia; Luca Zalunardo; Nadia K Waheed
Journal:  Exp Eye Res       Date:  2022-05-04       Impact factor: 3.770

7.  Approaches and Criteria for Provenance in Biomedical Data Sets and Workflows: Protocol for a Scoping Review.

Authors:  Kerstin Gierend; Frank Krüger; Dagmar Waltemath; Maximilian Fünfgeld; Thomas Ganslandt; Atinkut Alamirrew Zeleke
Journal:  JMIR Res Protoc       Date:  2021-11-22

8.  Reproducible Analysis Pipeline for Data Streams: Open-Source Software to Process Data Collected With Mobile Devices.

Authors:  Julio Vega; Meng Li; Kwesi Aguillera; Nikunj Goel; Echhit Joshi; Kirtiraj Khandekar; Krina C Durica; Abhineeth R Kunta; Carissa A Low
Journal:  Front Digit Health       Date:  2021-11-18

Review 9.  Enhanced medical diagnosis for dOCTors: a perspective of optical coherence tomography.

Authors:  Rainer Leitgeb; Fabian Placzek; Elisabet Rank; Lisa Krainz; Richard Haindl; Qian Li; Mengyang Liu; Marco Andreana; Angelika Unterhuber; Tilman Schmoll; Wolfgang Drexler
Journal:  J Biomed Opt       Date:  2021-10       Impact factor: 3.758

10.  Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform.

Authors:  Jan Egger; Daniel Wild; Maximilian Weber; Christopher A Ramirez Bedoya; Florian Karner; Alexander Prutsch; Michael Schmied; Christina Dionysio; Dominik Krobath; Yuan Jin; Christina Gsaxner; Jianning Li; Antonio Pepe
Journal:  J Digit Imaging       Date:  2022-01-21       Impact factor: 4.056
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.