Heart Disease Prediction
A major Heart Disease Prediction dot net project report challenge facing healthcare organizations (hospitals, medical centers) is the provision of quality services at affordable costs. Quality service implies diagnosing patients correctly and administering treatments that are effective. Poor clinical decisions can lead to disastrous consequences which are therefore unacceptable. Click here to get complete Dot Net projects lists.
Hospitals must also minimize the cost of clinical tests. They can achieve these results by employing appropriate computer-based information and/or decision support systems. Most hospitals today employ some sort of hospital information systems to manage their healthcare or patient data.
Conclusion
Decision Support in Heart Disease Prediction dot net project report System is developed using Naive Bayesian Classification technique. The system extracts hidden knowledge from a historical heart disease database. This is the most effective model to predict patients with heart disease. This model could answer complex queries, each with its own strength with respect to ease of model interpretation, access to detailed information and accuracy.
System Configuration:
H/W System Configuration:-
System : Pentium I3 Processor.
Hard Disk : 500 GB.
Monitor : Standard LED Monitor
Input Devices : Keyboard
Ram : 4 GB
S/W System Configuration:-
Operating system : Windows 7/8/10.
Available Coding Language : Dot Net and PHP
Database : MYSQL
| Project Name | Heart Disease Prediction |
| Project Category | Dot Net |
| Project Cost | 65$/ Rs 4999 |
| Delivery Time | 48 Hour |
| For Support | WhatsApp: +91 9481545735 or Email: info@partheniumprojects.com |
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