Classification of Malaria Complication Using CART (Classification and Regression Tree) and Naïve Bayes
RACHMADANIA IRMANITA
Informasi Umum
Kode
21.04.1200
Klasifikasi
003.3 - Computer science- system- computer modeling and simulation
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Computer Science
Dilihat
265 kali
Informasi Lainnya
Abstraksi
As one of the tropical country, Indonesia has to deal with malaria disease. Malaria can be a dangerous disease if the sufferers get a late medical treatment. The late medical treatment caused by the misdiagnosed of patient. It can cause the severe malaria which has complications. This study creates a system prediction to classify the severe malaria disease using Classification and Regression Tree (CART) method and the probability of malaria complication using Naïve Bayes method. If the patient classified severe malaria then the patients will be predicted if there any probability of complication by the severe malaria. The classification will be evaluated using F-Score, Recall dan Precision were the highest result of these evaluation measures consecutively 0.551, 0.471 and 0.717. While the complication prediction will be evaluated using accuracy with the highest accuracy 81.2% which predicted the complication is Hypoglycemia.
Keywords: Malaria, Classification and Regression Tree, Naïve Bayes
Koleksi & Sirkulasi
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Pengarang
| Nama | RACHMADANIA IRMANITA |
| Jenis | Perorangan |
| Penyunting | Sri Suryani Prasetyowati, Yuliant Sibaroni |
| Penerjemah | English |
Penerbit
| Nama | Universitas Telkom, S1 Informatika (international Class) |
| Kota | Bandung |
| Tahun | 2021 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
