Authors:
Michelangelo Sofo
1
;
Giuseppe Labianca
2
;
Giancarlo Mauri
3
and
Francesco Combierati
4
Affiliations:
1
IT Consultant, Via Avvocato Vittorio Malcangi, 141/L, 76125, Trani, Italy
;
2
Dietician and Nutritionist Biologist, Via Tenente Morrico, 17, 76125, Trani, Italy
;
3
University of Milano – Bicocca, Piazza dell’Ateneo Nuovo, 1, 20126, Milano, Italy
;
4
Dipartimento di Scienze Economiche, Piazza Scaravilli, 2, 40126, Bologna, Italy
Keyword(s):
Medical Decision Support System, Physiological Data Extraction, Human Centered Design (HCD), Contextual Design, Participatory Design, Rapid Prototyping, Agile Development, Continuous Optimization Algorithms, Human Centered Artificial Intelligence (HCAI), Time Series Analysis, Visual Data Mining, Deductive Database.
Abstract:
In recent years, the scientific community's interest in the exploratory analysis of biomedical data has increased exponentially. Considering the field of research of nutritional biologists, the curative process, based on the analysis of clinical data, is a very delicate operation due to the fact that there are multiple solutions for the management of pathologies in the food sector (for example can recall intolerances and allergies, management of cholesterol metabolism, diabetic pathologies, arterial hypertension, up to obesity and breathing and sleep problems). In this regard, in this research work a system was created capable of evaluating various dietary regimes for the aforementioned specific patient pathologies. The system is based on a mathematical-numerical model and is tailored for the real working needs of experts in human nutrition, endocrinologists and cardiologists, using the Human-Centered Design (HCD - ISO 9241 210). DietAdhoc is a decision support system to the aforemen
tioned specialists for patients of both sexes (from 18 years of age) developed with an innovative agile methodology. The software consists in drawing up the biomedical and clinical profile of the specific patient by applying two implementation approaches on nutritional data.
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