Penerapan Teorema Bayes untuk Mendiagnosa Penyakit Telinga Hidung Tenggorokan (THT)

Autor:	Imamah Imamah, Akhmad Siddiqi
Rok vydání:	2019
Předmět:	business.industry Common disease education Early detection Disease medicine.disease computer.software_genre Expert system Bayes' theorem medicine.anatomical_structure Throat otorhinolaryngologic diseases medicine Medical emergency business computer Nose
Zdroj:	MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer. 18:268-275
ISSN:	2476-9843 1858-4144
Popis:	Ear, Nose and Throat Disease (ENT) is a common disease that is often considered a harmless disease by people, so they assume there is no need to see a doctor. But in fact, ENT disease can also provide serious disorders if not treated early and right, so the expert system of ENT is needed for early detection before the patient decided to see a doctor or not. Based on these problems, this study proposed the application of the Bayes theorem for early detection of ENT disease. The types of diseases used in this study were six types and had 22 symptoms. User inputs the symptoms of a disease, then the system will provide a diagnosis. This diagnosis can be used as an initial reference for sufferers and can be used as a reference for young doctors who are taking medical education with an ENT specialist. In this initial research, testing was carried out to calculate the computational time needed by the system to diagnose ENT disease. Based on this research, we found that the average computing time needed by the system to diagnose is 00:09:54 or Nine minutes, fifty-four seconds.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1c741a5f0236e7cd31d77ed3d08fbb55 https://doi.org/10.30812/matrik.v18i2.398 Zobrazit plný text záznamu