Literature DB >> 31393527

Making Machine Learning Models Clinically Useful.

Nigam H Shah1, Arnold Milstein2, Steven C Bagley PhD1.   

Abstract

Year:  2019        PMID： 31393527     DOI： 10.1001/jama.2019.10306

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


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  56 in total

1.  Real-Time Monitoring of Suicide Risk among Adolescents: Potential Barriers, Possible Solutions, and Future Directions.

Authors:  Evan M Kleiman; Catherine R Glenn; Richard T Liu
Journal:  J Clin Child Adolesc Psychol       Date:  2019-09-27

Review 2.  Artificial Intelligence for Disease Assessment in Inflammatory Bowel Disease: How Will it Change Our Practice?

Authors:  Ryan W Stidham; Kento Takenaka
Journal:  Gastroenterology       Date:  2022-01-04       Impact factor: 22.682

3.  Building a Clinically Relevant Risk Model: Predicting Risk of a Potentially Preventable Acute Care Visit for Patients Starting Antineoplastic Treatment.

Authors:  Bobby Daly; Dmitriy Gorenshteyn; Kevin J Nicholas; Alice Zervoudakis; Stefania Sokolowski; Claire E Perry; Lior Gazit; Abigail Baldwin Medsker; Rori Salvaggio; Lynn Adams; Han Xiao; Yeneat O Chiu; Lauren L Katzen; Margarita Rozenshteyn; Diane L Reidy-Lagunes; Brett A Simon; Wendy Perchick; Isaac Wagner
Journal:  JCO Clin Cancer Inform       Date:  2020-03

4.  Examining the Examiners: How Medical Death Investigators Describe Suicidal, Homicidal, and Accidental Death.

Authors:  Adam S Miner; David M Markowitz; Brian L Peterson; Benjamin W Weston
Journal:  Health Commun       Date:  2020-12-01

5.  Rethinking PICO in the Machine Learning Era: ML-PICO.

Authors:  Xinran Liu; James Anstey; Ron Li; Chethan Sarabu; Reiri Sono; Atul J Butte
Journal:  Appl Clin Inform       Date:  2021-05-19       Impact factor: 2.342

6.  Trust in AI: why we should be designing for APPROPRIATE reliance.

Authors:  Natalie C Benda; Laurie L Novak; Carrie Reale; Jessica S Ancker
Journal:  J Am Med Inform Assoc       Date:  2021-12-28       Impact factor: 4.497

7.  Accelerating diagnosis of Parkinson's disease through risk prediction.

Authors:  William Yuan; Brett Beaulieu-Jones; Richard Krolewski; Nathan Palmer; Christine Veyrat-Follet; Francesca Frau; Caroline Cohen; Sylvie Bozzi; Meaghan Cogswell; Dinesh Kumar; Catherine Coulouvrat; Bruno Leroy; Tanya Z Fischer; S Pablo Sardi; Karen J Chandross; Lee L Rubin; Anne-Marie Wills; Isaac Kohane; Scott L Lipnick
Journal:  BMC Neurol       Date:  2021-05-18       Impact factor: 2.474

8.  An empirical characterization of fair machine learning for clinical risk prediction.

Authors:  Stephen R Pfohl; Agata Foryciarz; Nigam H Shah
Journal:  J Biomed Inform       Date:  2020-11-18       Impact factor: 6.317

Review 9.  Towards precision medicine in heart failure.

Authors:  Chad S Weldy; Euan A Ashley
Journal:  Nat Rev Cardiol       Date:  2021-06-09       Impact factor: 32.419

Review 10.  Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods-A Critical Review of Literature.

Authors:  Chen-Yi Xie; Chun-Lap Pang; Benjamin Chan; Emily Yuen-Yuen Wong; Qi Dou; Varut Vardhanabhuti
Journal:  Cancers (Basel)       Date:  2021-05-19       Impact factor: 6.639
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