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 2*, MSc; Sara B. Golas 2*, MA; Jennifer Felsted 2, 4*, PhD; Takuma Shibahara 5*, PhD; Hideo Aoki 5*; Mika Takata 6*; Ken Naono 5*, PhD; Joseph Kvedar 2, 4, 7*, MD; Kamal Jethwani 2, 4, 7*, MD, MPH; Stephen Agboola 2, 4, 7*, MD, MPH 1 Harvard Medical School , Bostonn, MA,
US
2 Connected Health Innovation , Partners HealthCare, Boston, MA,
US
3 Massachusetts General Hospital , Boston, MA,
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4 Harvard Medical School , Boston, MA,
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5 Research and Development Group , Hitachi, Ltd, Tokyo ,
JP
6 Big Data Laboratory , Hitachi America Ltd, Santa Clara, CA,
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7 Massachusetts General Hospital , Boston, MA,
US
*all authors contributed equally