Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
5don MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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