Personalization in biomedical-informatics: Methodological considerations and recommendations.
J Biomed Inform
; 90: 103088, 2019 02.
Article
em En
| MEDLINE
| ID: mdl-30634046
ABSTRACT
Over the last decades there has been an increasing interest in personalization can we make sure that treatments are effective for individual patients? The quest for personalization affects biomedical informatics in two ways first, we design systems-for example eHealth applications-that directly interact with patients and these systems might themselves one day be personalized. Hence, we seek effective methods to do so. Second, we design systems that collect the data which will one day be used to personalize treatments hence, we need to critically consider design requirements that improve the utility of (e.g.,) personal health records for future treatment personalization. By clearly defining personalization and analyzing the effectiveness of different personalization methods this discussion highlights how we should embrace sequential experimentation-as opposed to the traditional randomized trial-if we want to personalize our informatics systems efficiently. Furthermore, we need to make sure that we capture the treatment assignment process in our health records doing so will greatly increase the utility of the collected data for future personalization attempts.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Informática Médica
/
Medicina de Precisão
Tipo de estudo:
Clinical_trials
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
J Biomed Inform
Assunto da revista:
INFORMATICA MEDICA
Ano de publicação:
2019
Tipo de documento:
Article