GitHub topics: hybrid-machine-learning
erenyeager101/Heart-Disease-monitoring
Patients can enter their symptoms and relevant health data (like heart rate, blood pressure, etc.) into the frontend interface. The model can analyze this data instantly and provide immediate feedback on their heart health status. After analyzing patient data, the system can offer personalized lifestyle recommendations.
Language: HTML - Size: 16.3 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
leelew/HybridHydro
Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in Atmospheric Science)
Language: Python - Size: 1.71 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
SharathHebbar/Hybrid-machine-learning
Hybrid-machine-learning
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
