Decision support system using naïve bayes classification algorithm for cardiovascular diseases/ (Record no. 213)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01835nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250320165044.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250320b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | NVSU |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Dela Cruz, Nilda N. |
| 245 ## - TITLE STATEMENT | |
| Title | Decision support system using naïve bayes classification algorithm for cardiovascular diseases/ |
| Statement of responsibility, etc. | Nilda N. Dela Cruz |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Echague, Isabela: |
| Name of publisher, distributor, etc. | Isabela State University, |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ix, 74 leaves : |
| Other physical details | illustrations (some colored), photos ; |
| Dimensions | 28 cm. + |
| Accompanying material | 1 CD |
| 500 ## - GENERAL NOTE | |
| General note | 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.<br/><br/>Keywords: Data Mining, Decision Support System. Heart Disease, Naive Bayes <br/> |
| 500 ## - GENERAL NOTE | |
| General note | Thesis (Master in Information Technology) |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes appendices and bibliographical references |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Suppress in OPAC | No |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Nueva Vizcaya State University - Bayombong Campus | Nueva Vizcaya State University - Bayombong Campus | Graduate School Section | 03/20/2025 | Donation | T D332d 2020 | T884 | 03/20/2025 | 03/20/2025 | Thesis |
