000			01835nam a22001817a 4500
003			OSt
005			20250320165044.0
008			250320b |||||||| |||| 00| 0 eng d
040			_cNVSU
100			_aDela Cruz, Nilda N.
245			_aDecision support system using naïve bayes classification algorithm for cardiovascular diseases/ _cNilda N. Dela Cruz
260			_aEchague, Isabela: _bIsabela State University, _c2020
300			_aix, 74 leaves : _billustrations (some colored), photos ; _c28 cm. + _e1 CD
500			_aThe 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
500			_aThesis (Master in Information Technology)
504			_aIncludes appendices and bibliographical references
942			_2ddc _cTH _n0
999			_c213 _d213