01835nam a22001817a 4500 OSt 20250320165044.0 250320b |||||||| |||| 00| 0 eng d NVSU Dela Cruz, Nilda N. Decision support system using naïve bayes classification algorithm for cardiovascular diseases/ Nilda N. Dela Cruz Echague, Isabela: Isabela State University, 2020 ix, 74 leaves : illustrations (some colored), photos ; 28 cm. + 1 CD The health care field provides huge amounts of data that contain hidden pattern that can be useful for decisions. It is perplexing to orchestrate in an appropriate manner. Nature of the information association has been influenced because of improper administration of the information. Improvement in the measure of information needs some appropriate ways to concentrate and procedure information adequately and proficiently. This paper intended to develop a Decision Support System (DSS) for diagnosing cardiovascular diseases. The system used datamining technique, the Naïve Bayes Classification algorithm. This paper used Rapid Application Development (RAD) Software Life Cycle in designing and developing the system. The system was simulated, and its performance was evaluated in terms of accuracy using synthetic datasets namely, Cleveland and Statlog. Results showed that the system provided the adequate features for predicting heart diseases with an accuracy of 91% using the Cleveland dataset, 89% using the Statlog dataset and 90% using the combined instances of the two datasets. Keywords: Data Mining, Decision Support System. Heart Disease, Naive Bayes Thesis (Master in Information Technology) Includes appendices and bibliographical references ddc TH 0 213 213 0 0 ddc 0 0 NVSUBAY NVSUBAY GS 2025-03-20 Donation 0 T D332d 2020 T884 2025-03-20 16:51:42 2025-03-20 TH