Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60437, first published .
Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study

Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study

Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility Study

William E Janes   1 , OTD, MSCI ;   Noah Marchal   2 , MS, MFA ;   Xing Song   2, 3 , PhD ;   Mihail Popescu   2, 3 , PhD ;   Abu Saleh Mohammad Mosa   2, 3, 4 , PhD ;   Juliana H Earwood   1 , OTD ;   Vovanti Jones   5 , MD ;   Marjorie Skubic   2, 4 , PhD

1 Department of Occupational Therapy, College of Health Science, University of Missouri, Columbia, MO, United States

2 Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States

3 Department of Biomedical Informatics, Biostatistics, and Medical Epidemiology, School of Medicine, University of Missouri, Columbia, MO, United States

4 Electrical Engineering and Computer Science Department, College of Engineering, University of Missouri, Columbia, MO, United States

5 Physical Medicine and Rehabilitation, School of Medicine, University of Missouri, Columbia, MO, United States

Corresponding Author:

  • William E Janes, OTD, MSCI
  • Department of Occupational Therapy
  • College of Health Science
  • University of Missouri
  • 802 Clark Hall
  • Columbia, MO, 65211
  • United States
  • Phone: 1 5738824183
  • Email: janesw@health.missouri.edu