- Customer Name: Mashhad University of Medical Science
- Project Type: Productive Modeling
- Project Cost: ...........
- Project Time: 2 Month
- Applied skills: Python
- Technologies used: Machine learning , RESTfull API , Version Control , Docker
Forecast Models for Heart Disease Detection (Aligned with Precision Medicine and AI models for disease prediction )
2021/07/13
1:34 pm
Built predictive models to improve heart disease diagnosis.
- Model Development: Designed and optimized machine learning models, including Random Forest and Neural
Networks.
- Outcome: Deployed a user-friendly tool for clinicians, enhancing diagnostic speed and accuracy
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