Decision tree modeling in R software to aid clinical decision making
This study examined behavioral data and healthcare analytics for use in clinical applications, demonstrating that health informa tion professionals can develop behavioral risk factor prediction models to bridge the gap. Results indicated that decision trees are effective in classifying diabetes in an individual at up to 89.36% accuracy.
Source: Health and Technology - Category: Information Technology Source Type: research
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