Διάγνωση διαβήτη με χρήση αλγορίθμων μηχανικής μάθησης
View/
Keywords
Διάγνωση διαβήτη ; Μηχανική μάθηση ; ΑλγόριθμοιAbstract
The health sector, and in particular the healthcare sector, has long adopted and benefited greatly from technological progress. In recent years, mechanical learning (a subset of artificial intelligence) has played a key role in many health-related areas, including the development of new medical procedures, patient data and records handling, the prevention and treatment of chronic diseases, such as diabetes mellitus.
This diplomatic thesis concerns the comparative study of machine learning algorithms and evaluating the performance of algorithms for the diagnosis of diabetes mellitus through the Pima Indians Diabetes Database.
Measurements are then produced for each of the machine learning algorithms which are then compared to determine which of the models is most effective. Also, a comparison was made with other surveys using the same data set and the same algorithms.
Finally, with the assistance of the program developed, each user can enter acceptable values in the required fields to determine if the user is suffering from diabetes mellitus or not.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
104Language
GreekCollections
Except where otherwise noted, this item's license is described as
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές
Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές