Democratizing Digital Health Algorithms: RESTful Machine Learning Web Services

Weber L, Seepold R, Madrid NM (2022)

Publication Type: Conference contribution

Publication year: 2022

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 7-15

Conference Proceedings Title: Lecture Notes in Bioengineering

Event location: Ancona, ITA

ISBN: 9783031168543

DOI: 10.1007/978-3-031-16855-0_2

Abstract

There have been substantial research efforts for algorithms to improve continuous and automated assessment of various health-related questions in recent years. This paper addresses the deployment gap between those improving algorithms and their usability in care and mobile health applications. In practice, most algorithms require significant and founded technical knowledge to be deployed at home or support healthcare professionals. Therefore, the digital participation of persons in need of health care professionals lacks a usable interface to use the current technological advances. In this paper, we propose applying algorithms taken from research as web-based microservices following the common approach of a RESTful service to bridge the gap and make algorithms accessible to caregivers and patients without technical knowledge and extended hardware capabilities. We address implementation details, interpretation and realization of guidelines, and privacy concerns using our self-implemented example. Also, we address further usability guidelines and our approach to those.

Involved external institutions

Hochschule Konstanz University of Applied Sciences (HTWG) DE Germany (DE) Hochschule Reutlingen DE Germany (DE)

How to cite

APA:

Weber, L., Seepold, R., & Madrid, N.M. (2022). Democratizing Digital Health Algorithms: RESTful Machine Learning Web Services. In Massimo Conti, Simone Orcioni (Eds.), Lecture Notes in Bioengineering (pp. 7-15). Ancona, ITA: Springer Science and Business Media Deutschland GmbH.

MLA:

Weber, Lucas, Ralf Seepold, and Natividad Martínez Madrid. "Democratizing Digital Health Algorithms: RESTful Machine Learning Web Services." Proceedings of the German- Italian Workshop on Social Innovation in Long-Term Care through Digitalization, LTC 2021, Ancona, ITA Ed. Massimo Conti, Simone Orcioni, Springer Science and Business Media Deutschland GmbH, 2022. 7-15.

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