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Title

Common human diseases prediction using machine learning based on survey data

Author

Jabir Al Nahian, Abu Kaisar Mohammad Masum, Md. Jueal Mia ,

Email

Abstract

In this era, the moment has arrived to move away from disease as the

primary emphasis of medical treatment. Although impressive, the multiple

techniques that have been developed to detect the diseases. In this time, there

are some types of diseases COVID 19

 normal flue, migraine, lung disease,

heart disease, kidney disease, diabetics, stomach disease, gastric, bone

disease, autism are the very common diseases. In this analysis, we analyze

disease symptoms and have done disease predictions based on their

sy

mptoms. We studied a range of symptoms and took a survey from people

in order to complete the task. Several classification algorithms have been

employed to train the model. Furthermore, performance evaluation matrices

are used to measure the model's perfor

mance. Finally, we discovered that the

part

classifier surpasses the others

.

Keywords

Data m ining Diseases p rediction Diseases s ymptoms Human d iseases Machine l earning

Journal or Conference Name

Bulletin of Electrical Engineering and Informatics

Publication Year

2022

Indexing

scopus