Literature DB >> 31106325

Machine learning in 'big data': handle with care.

Zak Loring1, Suchit Mehrotra2, Jonathan P Piccini3.   

Abstract

Mesh：

Year:  2019        PMID： 31106325      PMCID： PMC6736339          DOI： 10.1093/europace/euz130

Source DB:  PubMed          Journal:  Europace        ISSN： 1099-5129            Impact factor:   5.214


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  5 in total

1.  Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Authors:  Bobak J Mortazavi; Nicholas S Downing; Emily M Bucholz; Kumar Dharmarajan; Ajay Manhapra; Shu-Xia Li; Sahand N Negahban; Harlan M Krumholz
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-11-08

2.  Opening the black box of machine learning.

Authors: 
Journal:  Lancet Respir Med       Date:  2018-10-18       Impact factor: 30.700

3.  Prediction of 30-Day All-Cause Readmissions in Patients Hospitalized for Heart Failure: Comparison of Machine Learning and Other Statistical Approaches.

Authors:  Jarrod D Frizzell; Li Liang; Phillip J Schulte; Clyde W Yancy; Paul A Heidenreich; Adrian F Hernandez; Deepak L Bhatt; Gregg C Fonarow; Warren K Laskey
Journal:  JAMA Cardiol       Date:  2017-02-01       Impact factor: 14.676

4.  A novel atrial fibrillation prediction model for Chinese subjects: a nationwide cohort investigation of 682 237 study participants with random forest model.

Authors:  Wei-Syun Hu; Meng-Hsuen Hsieh; Cheng-Li Lin
Journal:  Europace       Date:  2019-09-01       Impact factor: 5.214

5.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245
  5 in total
  1 in total

1.  Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda.

Authors:  Muhammad Nazrul Islam; Sumaiya Nuha Mustafina; Tahasin Mahmud; Nafiz Imtiaz Khan
Journal:  BMC Pregnancy Childbirth       Date:  2022-04-22       Impact factor: 3.105
  1 in total

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