Machine learning implementation to predict type-2 diabetes mellitus based on lifestyle behaviour pattern using HBA1C status
ConclusionsThis study leveraging a dataset of medical report and lifestyle behavior factor to predict the HbA1c category. The proposed approach can be deployed as a tool at medical centers to serve as an early Type-2 disease diagnosis tool and in addition, the tool can assist the medical experts in accurately predicting the Type-2 diabetes disease.
Source: Health and Technology - Category: Information Technology Source Type: research
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