This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (744) Wearable Devices and Sensors (1133) Machine Learning (2076) Validity, Reliability, and Bias (110)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72113, first published .
Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study

Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study

Construction of Personalized Predictive Models for Missed Medication Doses Using Wearable Device Data: Prospective Observational Study

Authors of this article:

Haru Iino1 Author Orcid Image ;   Hayato Kizaki1 Author Orcid Image ;   Shungo Imai1 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
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Haru Iino   1 , BSc ;   Hayato Kizaki   1 , PhD ;   Shungo Imai   1 , PhD ;   Satoko Hori   1 , PhD

1 Division of Drug Informatics, Faculty of Pharmacy and Graduate School of Pharmaceutical Sciences, Keio University, Tokyo, Japan

Corresponding Author:

  • Satoko Hori, PhD
  • Division of Drug Informatics
  • Faculty of Pharmacy and Graduate School of Pharmaceutical Sciences, Keio University
  • Minato-ku, 1-5-30 Shibakoen
  • Tokyo 105-8512
  • Japan
  • Phone: 81 3-5400-2650
  • Email: satokoh@keio.jp