AFFILIAZIONE
istituto tecnico tecnologico economico “cassandro – fermi – nervi” – barletta
AUTORE PRINCIPALE
Dr. Michelangelo Sofo
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GRUPPO DI LAVORO
Dr. Michelangelo Sofo istituto tecnico tecnologico economico “cassandro – fermi – nervi” – barletta
AREA TEMATICA
Applicazioni di intelligenza artificiale in sanità
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. To provide an adequate solution to solve the specific problem of the patient, various computational investigations are therefore necessary to allow the fruitful use of the available biomedical data. In this regard, in this thesis a system has been created that is able to evaluate the various dietary regimes for specific pathologies of patients.
The use of recent studies on adaptive systems has allowed us to build a predictive model that allows the professional to evaluate not only the information generated by the system, but also to integrate the connections with the technical support instrumentation (bioimpedance meter SECA mBCA 525 and the digital plicometer GIMA). The system is based on a mathematical 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 aforementioned 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, based on combinatorial optimization techniques, on clinical and nutritional data. Furthermore, the system is equipped with a further approach based on symbolic artificial intelligence. This technique transforms the relational database underlying the DietAdhoc system into a deductive database from which to derive queries in Prolog language.
The use of recent studies on adaptive systems has allowed us to build a predictive model that allows the professional to evaluate not only the information generated by the system, but also to integrate the connections with the technical support instrumentation (bioimpedance meter SECA mBCA 525 and the digital plicometer GIMA). The system is based on a mathematical 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 aforementioned 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, based on combinatorial optimization techniques, on clinical and nutritional data. Furthermore, the system is equipped with a further approach based on symbolic artificial intelligence. This technique transforms the relational database underlying the DietAdhoc system into a deductive database from which to derive queries in Prolog language.
