Hao Wang
ABSTRACT
Hepatitis is an infectious disease that has spread arcoss the globe during human history. Unlike milder symptoms such as fever, Hepatitis can lead to long-term pains and deadly outcomes. There have been a large number of physicians in the medicare industry working on the treatment of the disease, however, computerized treatment for Hepatitis has not been in rapid growth like other technologies. In this paper, we propose to use AutoML techniques and XGBoost algorithm to predict the outcomes of Hepatitis. We prove in our experiments our algorithm could facilitate doctors for Hepatitis treatment.
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Index Terms
- Predicting Outcomes of Hepatitis using AutoML and XGBoost
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