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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44636

Hybrid Machine Learning Algorithm For Prediction Of Various Diseases.

Ravi Choubey, Dr. Pratima Gautam


Now-a-days due to improper lifestyle, junk food and bad habits we are facing so many problems in our life and because of this we are inviting unwanted lethal diseases. Heart Disease, Diabetes and Hypertension are three of them and it has affected numbers of people worldwide. In recent times, These diseases have been become the major reason of death among people of any age group. Therefore, the enhancement for predicting this kind of diseases are required in the health sector with the help of different Machine Learning (ML) methods. In this study we used Hybrid Ensemble Common Model (HECM) for predicting Heart, Diabetes and Hypertension Disease. LightGBM, Random Forest, KNN used as Ensemble Classifier then output given to Voting classifier for final output. Cross Validation done at last and final output recorded .


Hybrid Machine Learning, Random Forest, Light Gradient Boosting, KNN, Disease Prediction

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