GWO-XGB: Grey Wolf Optimization-based eXtreme Gradient Boosting for Hypertension Prediction in Bangladesh

Tasfia Tahsin,Khondoker Mirazul Mumenin,Farhana Tazmim Pinki, Anamika Biswas Tuli,Shahriar Sikder,Md. Ashfikur Rahman,Abdullah Al-Mamun Bulbul,Md. Abdul Awal

2021 International Conference on Electronics, Communications and Information Technology (ICECIT)（2021）

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摘要

Hypertension is rapidly increasing day by day worldwide as well as in Bangladesh. The majority of people in our country die due to hypertension. So, early prediction of this disease is a very important task that may reduce the number of affected patients. In our paper, we have proposed the Grey Wolf Optimization-based eXtreme Gradient Boosting (GWO-XGB) model which can predict hypertension based o...

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关键词

Hypertension,Performance evaluation,Sensitivity,Predictive models,Prediction algorithms,Boosting,Data models

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