Analysis of medical data for diabetes for the creation of predictive indicators
Ανάλυση ιατρικών δεδομένων για διαβήτη για τη δημιουργία προγνωστικών δεικτών
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Διαβήτης ; Προγνωστικοί δείκτεςAbstract
The advancement of technology and data science has provided significant assistance in the field of medicine, particularly in the timely and effective diagnosis and treatment of diseases. This thesis aims to study the diagnosis of diabetes using machine learning techniques. More specifically, it constitutes a comparative study of machine learning algorithms to find the one that offers the most accurate prediction.
For this purpose, a dataset from the patients of Sylhet Diabetes Hospital in Sylhet Bangladesh, was used. This dataset contains data and measurements that aid in the detection of diabetes at an early stage. Using the aforementioned dataset, modeling was conducted using a variety of suitable algorithms, and the calculation of appropriate evaluation metrics was performed to compare them, with the ultimate goal of identifying the optimal algorithm.
Postgraduate Studies Programme
Πληροφοριακά Συστήματα και ΥπηρεσίεςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα Ψηφιακών ΣυστημάτωνNumber of pages
35Language
EnglishCollections
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα