A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...
A retrospective case-control study from a single Chinese hospital built an internally validated machine learning model using ...
This project is based on Machine Learning to predict whether a diabetic patient is likely to be readmitted to a hospital within 30 days after discharge. The system analyzes patient information and ...
A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
A Machine Learning project to analyze student performance and predict academic outcomes using Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. - ...
India Today on MSN
At 12, he built an AI tool to forecast earthquake aftershocks and won a national award
Bowen Wang built Aftershock Oracle after earthquakes near the San Andreas Fault disturbed his sleep. The award-winning ...
Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...
4don MSN
A San Carlos 7th grader built an AI aftershock tool, winning a $3,500 national technology award
Bowen Wang, a 12-year-old student from California, has won a national technology prize for his innovative work. He created an ...
Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...
Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
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