Open AccessData Mining Using Clustering Methods to Identify The Type of Lung Disease (Case Study: Siti Hajar Hospital)
Author(s) -
Rifqi Agung Priambodo,
Opim Salim Sitompul,
Muhammad Zarlis
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012008
Subject(s) - cluster analysis , data collection , software deployment , disease , medicine , data mining , computer science , artificial intelligence , pathology , statistics , mathematics , operating system
In the process of grouping types of lung disease, doctors and staff Siti Hajar hospital experience the various obstacles encountered, including difficulties in grouping the data types of lung disease. This deployment planning analysis will help the hospital in analyzing data classification type of lung disease. This method of making use of data collection by taking data at the hospital.