I want to do serious research work on heart disease prediction before it reaches its peak level. It has been found in various research papers that patients reach the hospital when the disease has reached its peak level; consulting doctors and experts before disease maturity is an advantage.
of course there is a lot of way so you should ask your question individual way
Our research aims to advance heart disease prediction utilizing AI techniques, with a particular focus on early detection before disease progression reaches its peak severity. Leveraging insights from our recent preprint review article (https://arxiv.org/abs/2311.07609), we propose integrating retinal imaging as a non-invasive approach for assessing cardiovascular risk. Our opinion underscores the potential of AI algorithms, notably CNNs, to analyze retinal biomarkers indicative of heart disease risk. By combining AI-driven analysis of retinal features with clinical data, we advocate for the development of predictive models facilitating proactive intervention strategies. This approach holds promise for timely medical management, enabling interventions to be initiated before the disease reaches its peak severity.
Many ways as stated below-
1. If you have images of heart condition use CNNs or even advanced image models.
2. If you have data say in data lake as CSV excel or tables use Data Science feature engineering techniques like random forest etc.
3. Videos or real time using yolo + other custom models.
4. Everyone novice favorite ChatGpt can also help you to initial investigation.
5. Reach out directly to me, if still in doubt.
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