Literature DB >> 31904799

Challenges to the Reproducibility of Machine Learning Models in Health Care.

Andrew L Beam1,2, Arjun K Manrai2,3, Marzyeh Ghassemi4,5.   

Abstract

Entities:  

Mesh：

Year:  2020        PMID： 31904799      PMCID： PMC7335677          DOI： 10.1001/jama.2019.20866

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  5 in total

1.  Reporting of artificial intelligence prediction models.

Authors:  Gary S Collins; Karel G M Moons
Journal:  Lancet       Date:  2019-04-20       Impact factor: 79.321

2.  Deep Learning-A Technology With the Potential to Transform Health Care.

Authors:  Geoffrey Hinton
Journal:  JAMA       Date:  2018-09-18       Impact factor: 56.272

3.  Big Data and Machine Learning in Health Care.

Authors:  Andrew L Beam; Isaac S Kohane
Journal:  JAMA       Date:  2018-04-03       Impact factor: 56.272

4.  PSYCHOLOGY. Estimating the reproducibility of psychological science.

Authors: 
Journal:  Science       Date:  2015-08-28       Impact factor: 47.728

5.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613
  5 in total
  46 in total

1.  Reproducible Artificial Intelligence Research Requires Open Communication of Complete Source Code.

Authors:  Felipe C Kitamura; Ian Pan; Timothy L Kline
Journal:  Radiol Artif Intell       Date:  2020-07-29

2.  Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Authors:  Seyedeh Neelufar Payrovnaziri; Zhaoyi Chen; Pablo Rengifo-Moreno; Tim Miller; Jiang Bian; Jonathan H Chen; Xiuwen Liu; Zhe He
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

Review 3.  Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review.

Authors:  Benjamin Kompa; Joe B Hakim; Anil Palepu; Kathryn Grace Kompa; Michael Smith; Paul A Bain; Stephen Woloszynek; Jeffery L Painter; Andrew Bate; Andrew L Beam
Journal:  Drug Saf       Date:  2022-05-17       Impact factor: 5.606

4.  Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.

Authors:  Chungsoo Kim; Seng Chan You; Jenna M Reps; Jae Youn Cheong; Rae Woong Park
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

Review 5.  Big data requirements for artificial intelligence.

Authors:  Sophia Y Wang; Suzann Pershing; Aaron Y Lee
Journal:  Curr Opin Ophthalmol       Date:  2020-09       Impact factor: 3.761

6.  Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Authors:  Alan H Morris; Brian Stagg; Michael Lanspa; James Orme; Terry P Clemmer; Lindell K Weaver; Frank Thomas; Colin K Grissom; Ellie Hirshberg; Thomas D East; Carrie Jane Wallace; Michael P Young; Dean F Sittig; Antonio Pesenti; Michela Bombino; Eduardo Beck; Katherine A Sward; Charlene Weir; Shobha S Phansalkar; Gordon R Bernard; B Taylor Thompson; Roy Brower; Jonathon D Truwit; Jay Steingrub; R Duncan Hite; Douglas F Willson; Jerry J Zimmerman; Vinay M Nadkarni; Adrienne Randolph; Martha A Q Curley; Christopher J L Newth; Jacques Lacroix; Michael S D Agus; Kang H Lee; Bennett P deBoisblanc; R Scott Evans; Dean K Sorenson; Anthony Wong; Michael V Boland; David W Grainger; Willard H Dere; Alan S Crandall; Julio C Facelli; Stanley M Huff; Peter J Haug; Ulrike Pielmeier; Stephen E Rees; Dan S Karbing; Steen Andreassen; Eddy Fan; Roberta M Goldring; Kenneth I Berger; Beno W Oppenheimer; E Wesley Ely; Ognjen Gajic; Brian Pickering; David A Schoenfeld; Irena Tocino; Russell S Gonnering; Peter J Pronovost; Lucy A Savitz; Didier Dreyfuss; Arthur S Slutsky; James D Crapo; Derek Angus; Michael R Pinsky; Brent James; Donald Berwick
Journal:  J Am Med Inform Assoc       Date:  2021-06-12       Impact factor: 4.497

Review 7.  Detection of cancer metastasis: past, present and future.

Authors:  Catherine Alix-Panabieres; Anthony Magliocco; Luis Enrique Cortes-Hernandez; Zahra Eslami-S; Daniel Franklin; Jane L Messina
Journal:  Clin Exp Metastasis       Date:  2021-05-07       Impact factor: 5.150

8.  Predicting Progression to Septic Shock in the Emergency Department Using an Externally Generalizable Machine-Learning Algorithm.

Authors:  Gabriel Wardi; Morgan Carlile; Andre Holder; Supreeth Shashikumar; Stephen R Hayden; Shamim Nemati
Journal:  Ann Emerg Med       Date:  2021-01-15       Impact factor: 5.721

Review 9.  Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.

Authors:  Emelia J Benjamin; Alan S Go; Patrice Desvigne-Nickens; Christopher D Anderson; Barbara Casadei; Lin Y Chen; Harry J G M Crijns; Ben Freedman; Mellanie True Hills; Jeff S Healey; Hooman Kamel; Dong-Yun Kim; Mark S Link; Renato D Lopes; Steven A Lubitz; David D McManus; Peter A Noseworthy; Marco V Perez; Jonathan P Piccini; Renate B Schnabel; Daniel E Singer; Robert G Tieleman; Mintu P Turakhia; Isabelle C Van Gelder; Lawton S Cooper; Sana M Al-Khatib
Journal:  Circulation       Date:  2021-01-25       Impact factor: 29.690

10.  Generalizability of heterogeneous treatment effects based on causal forests applied to two randomized clinical trials of intensive glycemic control.

Authors:  Sridharan Raghavan; Kevin Josey; Gideon Bahn; Domenic Reda; Sanjay Basu; Seth A Berkowitz; Nicholas Emanuele; Peter Reaven; Debashis Ghosh
Journal:  Ann Epidemiol       Date:  2021-07-17       Impact factor: 3.797
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