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

Résultat de recherche: Conference contribution

7 Citations (Scopus)

Résumé

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.

Langue d'origineEnglish
Titre de la publication principaleArtificial Intelligence in Medicine - 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Proceedings
ÉditeursMartin Michalowski, Syed Sibte Raza Abidi, Samina Abidi
Maison d'éditionSpringer Science and Business Media Deutschland GmbH
Pages57-62
Nombre de pages6
ISBN (imprimé)9783031093418
DOI
Statut de publicationPublished - 2022
Événement20th International Conference on Artificial Intelligence in Medicine, AIME 2022 - Halifax, Canada
Durée: juin 14 2022juin 17 2022

Séries de publication

PrénomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13263 LNAI
ISSN (imprimé)0302-9743
ISSN (électronique)1611-3349

Conference

Conference20th International Conference on Artificial Intelligence in Medicine, AIME 2022
Pays/TerritoireCanada
VilleHalifax
Période6/14/226/17/22

Note bibliographique

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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