Literature DB >> 29532063

Big Data and Machine Learning in Health Care.

Andrew L Beam1, Isaac S Kohane1.   

Abstract

Mesh：

Year:  2018        PMID： 29532063     DOI： 10.1001/jama.2017.18391

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


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  278 in total

1.  Delaware's 1999-2017 Leading Causes of Death Information Illustrates Its Obesity and Obesity-Related Life-Limiting Disease Burdens.

Authors:  Malcolm J D'Souza; Riza C Li; Derald E Wentzien
Journal:  Res Health Sci       Date:  2019-11-12

2.  Machine Learning and Prediction of All-Cause Mortality in COPD.

Authors:  Matthew Moll; Dandi Qiao; Elizabeth A Regan; Gary M Hunninghake; Barry J Make; Ruth Tal-Singer; Michael J McGeachie; Peter J Castaldi; Raul San Jose Estepar; George R Washko; James M Wells; David LaFon; Matthew Strand; Russell P Bowler; MeiLan K Han; Jorgen Vestbo; Bartolome Celli; Peter Calverley; James Crapo; Edwin K Silverman; Brian D Hobbs; Michael H Cho
Journal:  Chest       Date:  2020-04-27       Impact factor: 9.410

3.  Ensuring Fairness in Machine Learning to Advance Health Equity.

Authors:  Alvin Rajkomar; Michaela Hardt; Michael D Howell; Greg Corrado; Marshall H Chin
Journal:  Ann Intern Med       Date:  2018-12-04       Impact factor: 25.391

4.  Applying machine learning to predict real-world individual treatment effects: insights from a virtual patient cohort.

Authors:  Gang Fang; Izabela E Annis; Jennifer Elston-Lafata; Samuel Cykert
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

Review 5.  Computational modeling: What does it tell us about atrial fibrillation therapy?

Authors:  Eleonora Grandi; Dobromir Dobrev; Jordi Heijman
Journal:  Int J Cardiol       Date:  2019-01-25       Impact factor: 4.164

6.  Improving Caries Risk Prediction Modeling: A Call for Action.

Authors:  M Fontana; A Carrasco-Labra; H Spallek; G Eckert; B Katz
Journal:  J Dent Res       Date:  2020-06-29       Impact factor: 6.116

Review 7.  A Cancer Biologist's Primer on Machine Learning Applications in High-Dimensional Cytometry.

Authors:  Timothy J Keyes; Pablo Domizi; Yu-Chen Lo; Garry P Nolan; Kara L Davis
Journal:  Cytometry A       Date:  2020-06-30       Impact factor: 4.355

8.  Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.

Authors:  Valentina Bellemo; Gilbert Lim; Tyler Hyungtaek Rim; Gavin S W Tan; Carol Y Cheung; SriniVas Sadda; Ming-Guang He; Adnan Tufail; Mong Li Lee; Wynne Hsu; Daniel Shu Wei Ting
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

9.  POLAR Diversion: Using General Practice Data to Calculate Risk of Emergency Department Presentation at the Time of Consultation.

Authors:  Christopher Pearce; Adam McLeod; Natalie Rinehart; Jon Patrick; Anna Fragkoudi; Jason Ferrigi; Elizabeth Deveny; Robin Whyte; Marianne Shearer
Journal:  Appl Clin Inform       Date:  2019-02-27       Impact factor: 2.342

10.  Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis.

Authors:  Clara Mosquera-Lopez; Robert Dodier; Nichole S Tyler; Leah M Wilson; Joseph El Youssef; Jessica R Castle; Peter G Jacobs
Journal:  Diabetes Technol Ther       Date:  2020-05-14       Impact factor: 6.118
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