Cardiovascular Disease Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Cardiovascular Disease ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Cardiovascular Disease Projects
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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs
This project created BeatProfiler, a computer tool that studies heart cell function in the lab. It measures how heart cells contract, handle calcium, and respond to drugs. The tool works faster and more accurately than older methods. It can also use machine learning to identify heart diseases and classify drug effects. -
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study
This project develops a smart system to detect multiple heart diseases from ECG signals. It can learn even with very few labeled examples. The system improves accuracy by creating extra training data and learning patterns of disease combinations. It works well even on new data that the system has not seen before. -
BeatProfiler Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs
This project created BeatProfiler, a software tool that studies how heart cells beat and handle calcium. It can quickly and accurately measure heart cell contraction and response to drugs without expensive equipment. The tool also uses machine learning to identify heart diseases and how cells react to different treatments. Overall, it makes heart cell research faster, easier, and more reliable.
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