Clustering-cum-regression based model and performance analysis for early prediction of heart disease
Patient health monitoring is a crucial requirement in today’s world. The researchers work in various domains to efficiently monitor patients’ health status. Due to the COVID-19 pandemic, nowadays, ...
Accurate prediction of athlete performance is a challenges issue of significance in sports science and analytics and has application in training design, injury prevention, and talent management.
Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.
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