A Data Mining Approach to Prediction of Liver Diseases. (April 2020)
- Record Type:
- Journal Article
- Title:
- A Data Mining Approach to Prediction of Liver Diseases. (April 2020)
- Main Title:
- A Data Mining Approach to Prediction of Liver Diseases
- Authors:
- Razali, Nazim
Mustapha, Aida
Wahab, Mohd Helmy Abd
Mostafa, Salama A
Rostam, Siti Khadijah - Abstract:
- Abstract: One of the major diseases in the world is liver disease. The liver is an important part of the large organs in the human body and is also considered a gland. This is because it creates and bites bile. Liver disease is a liver problem that causes the disease. The objective of this study is to propose a rule-based classification model with basic decision making techniques to predict various types of heart disease. To get better results the experiment was done using a different data mining algorithm compared with previous liver disease predictions. All experiments have been implemented at Azure Machine Learning tool. This paper is about to study the prediction of liver disease to produce better performance accuracy by comparing various mining data classification algorithms.
- Is Part Of:
- Journal of physics. Volume 1529:Number 3(2020)
- Journal:
- Journal of physics
- Issue:
- Volume 1529:Number 3(2020)
- Issue Display:
- Volume 1529, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 1529
- Issue:
- 3
- Issue Sort Value:
- 2020-1529-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04
- Subjects:
- Physics -- Congresses
530.5 - Journal URLs:
- http://www.iop.org/EJ/journal/1742-6596 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1742-6596/1529/3/032002 ↗
- Languages:
- English
- ISSNs:
- 1742-6588
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.223000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25653.xml