Explainable Clinical Decision Support: Towards Patient-Facing Explanations for Education and Long-Term Behavior Change

William Van Woensel, Floriano Scioscia, Giuseppe Loseto, Oshani Seneviratne, Evan Patton, Samina Abidi, Lalana Kagal

Producción científica: Capítulo en Libro/Reporte/Acta de conferenciaContribución a la conferencia

7 Citas (Scopus)

Resumen

There is an increasing shift towards the self-management of long-term chronic illness by patients in a home setting, supported by personal health electronic equipment. Among others, self-management requires comprehensive education on the illness, i.e., understanding the effects of nutritional, fitness, and medication choices on personal health; and long-term health behavior change, i.e., modifying unhealthy lifestyles that contribute to chronic illness. Smart health recommendations, generated using AI-based Clinical Decision Support (CDS), can guide patients towards positive nutritional, fitness, and health behavioral choices. Moreover, we posit that explaining these recommendations to patients, using Explainable AI (XAI) techniques, will effect education and positive behavior change. We present our work towards an explanation framework for rule-based CDS, called EXPLAIN (EXPLanations of AI In N3), which aims to generate human-readable, patient-facing explanations.

Idioma originalEnglish
Título de la publicación alojadaArtificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
EditoresMartin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas57-62
Número de páginas6
ISBN (versión impresa)9783031093418
DOI
EstadoPublished - 2022
Evento20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada
Duración: jun. 14 2022jun. 17 2022

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen13263 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conference

Conference20th International Conference on Artificial Intelligence in Medicine, AIME 2022
País/TerritorioCanada
CiudadHalifax
Período6/14/226/17/22

Nota bibliográfica

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

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