APPRAISE-RS : Automated, updated, participatory, and personalized treatment recommender systems based on GRADE methodology
López, Beatriz (Universitat de Girona)
Raya, Oscar (Universitat de Girona)
Baykova, Evgenia (Institut d'Assistència Sanitària (ICS-IAS))
Saez, Marc (Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública)
Rigau, David (Institut d'Investigació Biomèdica Sant Pau)
Cunill, Ruth (Parc Sanitari Sant Joan de Déu)
Mayoral, Sacramento (Institut d'Assistència Sanitària (ICS-IAS))
Carrion, Carme (Universitat Oberta de Catalunya)
Serrano, Domènec (Institut d'Assistència Sanitària (ICS-IAS))
Castells Cervelló, Xavier (Universitat de Girona)
Universitat Autònoma de Barcelona

Fecha:	2023
Resumen:	Clinical practice guidelines (CPGs) have become fundamental tools for evidence-based medicine (EBM). However, CPG suffer from several limitations, including obsolescence, lack of applicability to many patients, and limited patient participation. This paper presents APPRAISE-RS, which is a methodology that we developed to overcome these limitations by automating, extending, and iterating the methodology that is most commonly used for building CPGs: the GRADE methodology. APPRAISE-RS relies on updated information from clinical studies and adapts and automates the GRADE methodology to generate treatment recommendations. APPRAISE-RS provides personalized recommendations because they are based on the patient's individual characteristics. Moreover, both patients and clinicians express their personal preferences for treatment outcomes which are considered when making the recommendation (participatory). Rule-based system approaches are used to manage heuristic knowledge. APPRAISE-RS has been implemented for attention deficit hyperactivity disorder (ADHD) and tested experimentally on 28 simulated patients. The resulting recommender system (APPRAISE-RS/TDApp) shows a higher degree of treatment personalization and patient participation than CPGs, while recommending the most frequent interventions in the largest body of evidence in the literature (EBM). Moreover, a comparison of the results with four blinded psychiatrist prescriptions supports the validation of the proposal. APPRAISE-RS is a valid methodology to build recommender systems that manage updated, personalized and participatory recommendations, which, in the case of ADHD includes at least one intervention that is identical or very similar to other drugs prescribed by psychiatrists.
Ayudas:	Instituto de Salud Carlos III PI19/00375 Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1551
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Attention deficit hyperactivity disorder ; Evidence-based medicine ; Meta-analysis ; Treatment recommender systems
Publicado en:	Heliyon, Vol. 9 Núm. 2 (february 2023) , p. e13074, ISSN 2405-8440

DOI: 10.1016/j.heliyon.2023.e13074
PMID: 36798764

16 p, 745.5 KB

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