Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16970, first published .
Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

Hayao Nakatani   1 , MD, PhD ;   Masatoshi Nakao   1 , RN, MA ;   Hidefumi Uchiyama   2, 3 , PhD ;   Hiroyoshi Toyoshiba   3 , PhD ;   Chikayuki Ochiai   1, 4 , MD, PhD

1 NTT Medical Center Tokyo, Tokyo, Japan

2 Pharmaceutical Research Department, Global Pharmaceutical R&D Division, Neopharma Japan Co Ltd, Tokyo, Japan

3 Research Development Department, Lifescience AI Business Division, FRONTEO Inc, Tokyo, Japan

4 Tokyo Healthcare University, Tokyo, Japan

Corresponding Author:

  • Hidefumi Uchiyama, PhD
  • Pharmaceutical Research Department
  • Global Pharmaceutical R&D Division
  • Neopharma Japan Co Ltd
  • Iidabashi Grand Bloom 4F
  • 2-10-2 Fujimi, Chiyoda-ku
  • Tokyo, 102-0071
  • Japan
  • Phone: 81 90-3896-2658
  • Email: huchiyam@gmail.com