Published on in Vol 4, No 2 (2018): CHC18

Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

Sujay S Kakarmath   1, 2, 3 * , MBBS, MS ;   Neda Derakhshani   1 * , MSc ;   Sara B. Golas   1 * , MA ;   Jennifer Felsted   1, 4 * , PhD ;   Takuma Shibahara   5 * , PhD ;   Hideo Aoki   5 * ;   Mika Takata   6 * ;   Ken Naono   5 * , PhD ;   Joseph Kvedar   1, 4, 7 * , MD ;   Kamal Jethwani   1, 4, 7 * , MD, MPH ;   Stephen Agboola   1, 4, 7 * , MD, MPH

1 Connected Health Innovation, Partners HealthCare, Boston, MA, United States

2 Massachusetts General Hospital, Boston, MA, United States

3 Harvard Medical School, Bostonn, MA, United States

4 Harvard Medical School, Boston, MA, United States

5 Research and Development Group, Hitachi, Ltd, Tokyo, Japan

6 Big Data Laboratory, Hitachi America Ltd, Santa Clara, CA, United States

7 Massachusetts General Hospital, Boston, MA, United States

*all authors contributed equally

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