Literature DB >> 33079583

Machine Learning in Clinical Journals: Moving From Inscrutable to Informative.

Karandeep Singh1,2,3,4, Andrew L Beam5, Brahmajee K Nallamothu2,4.   

Abstract

Entities:  

Keywords:  Editorials; algorithms; machine learning; neural networks; prognosis

Mesh：

Year:  2020        PMID： 33079583      PMCID： PMC9126253          DOI： 10.1161/CIRCOUTCOMES.120.007491

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN： 1941-7713


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  14 in total

1.  Calculating the sample size required for developing a clinical prediction model.

Authors:  Richard D Riley; Joie Ensor; Kym I E Snell; Frank E Harrell; Glen P Martin; Johannes B Reitsma; Karel G M Moons; Gary Collins; Maarten van Smeden
Journal:  BMJ       Date:  2020-03-18

2.  Recommendations for Reporting Machine Learning Analyses in Clinical Research.

Authors:  Laura M Stevens; Bobak J Mortazavi; Rahul C Deo; Lesley Curtis; David P Kao
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-10-14

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.  askMUSIC: Leveraging a Clinical Registry to Develop a New Machine Learning Model to Inform Patients of Prostate Cancer Treatments Chosen by Similar Men.

Authors:  Gregory B Auffenberg; Khurshid R Ghani; Shreyas Ramani; Etiowo Usoro; Brian Denton; Craig Rogers; Benjamin Stockton; David C Miller; Karandeep Singh
Journal:  Eur Urol       Date:  2018-10-11       Impact factor: 20.096

5.  Dissecting racial bias in an algorithm used to manage the health of populations.

Authors:  Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

6.  Guidelines for reinforcement learning in healthcare.

Authors:  Omer Gottesman; Fredrik Johansson; Matthieu Komorowski; Aldo Faisal; David Sontag; Finale Doshi-Velez; Leo Anthony Celi
Journal:  Nat Med       Date:  2019-01       Impact factor: 53.440

7.  Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Circulation       Date:  2015-01-05       Impact factor: 29.690

8.  Conditional variable importance for random forests.

Authors:  Carolin Strobl; Anne-Laure Boulesteix; Thomas Kneib; Thomas Augustin; Achim Zeileis
Journal:  BMC Bioinformatics       Date:  2008-07-11       Impact factor: 3.169

9.  Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.

Authors:  Andrew Wong; Albert T Young; April S Liang; Ralph Gonzales; Vanja C Douglas; Dexter Hadley
Journal:  JAMA Netw Open       Date:  2018-08-03

10.  Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review.

Authors:  Elham Mahmoudi; Neil Kamdar; Noa Kim; Gabriella Gonzales; Karandeep Singh; Akbar K Waljee
Journal:  BMJ       Date:  2020-04-08
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  1 in total

1.  Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19.

Authors:  Karandeep Singh; Thomas S Valley; Shengpu Tang; Benjamin Y Li; Fahad Kamran; Michael W Sjoding; Jenna Wiens; Erkin Otles; John P Donnelly; Melissa Y Wei; Jonathon P McBride; Jie Cao; Carleen Penoza; John Z Ayanian; Brahmajee K Nallamothu
Journal:  Ann Am Thorac Soc       Date:  2021-07
  1 in total

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