Open AccessPredicting cumulative effect of lifestyle risk factors for complex disease
Author(s) -
Effiok Emmanuel,
Liu Enjie,
Hitchcock Jon
Publication year - 2022
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl2.12021
Subject(s) - disease , computer science , domain (mathematical analysis) , risk assessment , risk analysis (engineering) , machine learning , medicine , mathematics , mathematical analysis , computer security
In medical domain, risk factors are often used to model disease predictions. In order to make the most use of the predictive models, linking the model with real patient data generates personalized disease progression and predictions. However, the risk factors are fragmented all over medical literature, certain risks can be accumulated for a disease and the aggregated probability may increase or decrease the occurrence of a disease. In this paper, a risk predictive framework which forms a base for a complete risk prediction model that can be used for various health applications is proposed.