Ramadhan, Taufik and Wahana, Agung and Maylawati, Dian Sa'adillah and Lukman, Nur and Budiman, Ichsan (2022) Pneumonia prediction system using classification and regression trees algorithm. In: 2022 8th International Conference on Wireless and Telematics (ICWT), 21-22 Juli 2022, Yogyakarta.
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Abstract
Pneumonia is an inflammation or chronic infection of lung tissue caused by various microorganisms, including parasites, viruses, and bacteria, as well as physical damage to the lungs and exposure to chemicals. The method used to calculate predictions uses the CART (Classification and Regression Trees) algorithm. The model is then implemented into a website-based prediction system. The purpose of this study was to determine the implementation of the CART algorithm to determine pneumonia and to determine the accuracy of the CART algorithm in predicting pneumonia. The average accuracy of the results of this study led to an accuracy value of 94%, r-square 87%, precision 95%, recall 94%, and f- 1 score 94% of the total dataset of 283. The results of this study get the best r-square on the 5th test with an accuracy of 85%.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | CART; classification and regression tree; machine learning; pneumonia; prediction system |
| Subjects: | Technology, Applied Sciences |
| Divisions: | Fakultas Sains dan Teknologi > Program Studi Teknik Informatika |
| Depositing User: | Dian Sa'adillah Maylawati |
| Date Deposited: | 04 Apr 2023 02:12 |
| Last Modified: | 04 Apr 2023 02:13 |
| URI: | https://digilib.uinsgd.ac.id/id/eprint/66651 |
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