A technique towards disease prediction: An approach of machine learning

Due to the environmental condition people face various health hazards and it affects their living habits. So predicting the disease at earlier stage becomes important. As a specific symptom can be responsible for various diseases, it is time consuming to predict the perfect one for the doctors. Data...

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Bibliographic Details
Main Authors: Hait, Ayushman, Roy, Bappaditiya, Bhattacharjee, Arup, Das, Dibyendu Kumar, Sarkar, Ainik, Saha, Ipsita
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Data mining
Decision trees
Health hazards
Machine learning
Signs and symptoms
Online Access:Get full text
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Summary:Due to the environmental condition people face various health hazards and it affects their living habits. So predicting the disease at earlier stage becomes important. As a specific symptom can be responsible for various diseases, it is time consuming to predict the perfect one for the doctors. Data mining plays a significant role in this most challenging task i.e. the accurate prediction of diseases. Due to increase in data growth in every year in healthcare field the precise analysis of data helps patients to take early care. Using the disease data, hidden pattern information was found by data mining in the enormous amount of medical data. Here in this study based on the symptoms general disease prediction techniques have been proposed. For the disease prediction, K-Nearest Neighbor (KNN), decision tree and random forest machine learning algorithm were used.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0166779