Designing Model to Improve Hepatitis Prediction by Using Data Mining and Machine Learning Algorithms

Douaa Ibrahim Alsaadi; Hind Abdulrazzaq Mohammed Ali; Asaad Ali Muhsen

Autori

Douaa Ibrahim Alsaadi Software Computer Engineering Department, Higher Health Institute, Najaf, Iraq https://orcid.org/0009-0003-0178-4388
Hind Abdulrazzaq Mohammed Ali Civil Engineering Department, University of Technology-Iraq, Baghdad, Iraq https://orcid.org/0009-0000-6788-0987
Asaad Ali Muhsen Electrical Engineering Department, University of Wasit, Iraq

Cuvinte cheie:

Data mining, Machine learning, Hepatitis, Classification, Supper Vector Machine

Rezumat

Hepatitis means inflammation of the liver. The liver is an important organ in the human body that processes nutrients, purifies the blood, and fights infections and viruses that attack the body, so it is a vital organ. When the liver is affected, it affects its performance and functions. Some types affect children between the ages of 12-23 months, as well as children from 2-18 years who did not receive the hepatitis vaccine, and some affect ages over 19 years, therefore, studies have previously attempted to pre-diagnose and predict this disease in order to reduce the risk of contracting the disease and minimizing mortality, as they used many data mining and machine learning techniques for classification. In this paper, a model consisting of a set of techniques was used on a hepatitis data set, where appropriate algorithms were selected for the type of data at the classification stage to obtain high accuracy.

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Biografii autori

Douaa Ibrahim Alsaadi, Software Computer Engineering Department, Higher Health Institute, Najaf, Iraq

Douaa Alsaadi was born in Baghdad, in January 1987. She got B.Sc in Computer Engineering from Almustansyria University of Baghdad in 2009. She got M.Sc from Azad Isfahan University. She is teaching in Higher Health Institute in An-Najaf Al-Ashraf, and got a certificate as a trainer in computer science from health ministry in 2015. Douaa Alsaadi has experience in website designing in HTML5, programing in python and Arduino IDE. She is interesting in programming application, sensors, IoT, database.
Hind Abdulrazzaq Mohammed Ali, Civil Engineering Department, University of Technology-Iraq, Baghdad, Iraq

Hind Abdulrazzaq Mohammed Ali was born in Baghdad. She got PhD in evolutionary algorithm from University of Bourgogn France Comte, Montbéliard, France in 2018. She obtained M.Sc in Artificial Intelligence from Iraqi Commission for Computers and Informatics, Institute for Post Graduate Studies in Informatics, Baghdad, Iraq, in 2001. Dr. Ali got B.Sc in Computer Science from University of Technology, Baghdad, Iraq. She is experienced in Java Script, Visual Basic.Net. She is serving as a Lecturer in Civil Engineering Department, University of Technology, Baghdad, Iraq. Her Research fields are Evolutionary Algorithm, Rich Problems, Smart Cities, Sensors, IOT, Classifier Learning Systems, Optimization Systems.
Asaad Ali Muhsen, Electrical Engineering Department, University of Wasit, Iraq

Asaad Ali Muhsen was born in 1986 in Iraq. He is currently pursuing PhD in Power Systems from Cukurova University, Adana, Turkey. He has secured Masters in Electrical Engineering from College of Engineering & Technology, University of Wasit. He is currently serving as Assistant Lecturer in Electrical Engineering Department, College of Engineering, Wasit University, Wasit, Iraq. His main research interests are power quality, FACTS, power electronics, Power system operation and control, application of intelligent control techniques.