SYSTEM FOR DETECTING CARDIAC DISEASE

Abstract

ABSTRACT A system (100) for detecting cardiac anomalies, the system (100) comprising: a user interface (102) configured to enable a user to provide a plurality of inputs associated with the user’s health; a processor (104) communicatively coupled with the user interface (102), wherein the processor (104) is configured to: receive the plurality of inputs, analyze the plurality of inputs using one or more artificial intelligence (AI) algorithms, train at least one model using the one or more AI algorithms, predict cardiac disease based on the analysis, and generate an alert notification on the user interface (102) regarding the cardiac anomalies.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of health care systems and, in particular, to a system for detecting cardiac disease designed to enhance health monitoring and improve the early detection of potential cardiovascular issues.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Conventional methods for detecting cardiac diseases rely on various diagnostic tools such as electrocardiograms (ECGs), echocardiograms, and cardiac imaging techniques including computed tomography (CT , Claims:1. A system (100) for detecting cardiac disease, the system (100) comprising:
a user interface (102) configured to enable a user to provide a plurality of inputs associated with the user's health;
a processor (104) communicatively coupled with the user interface (102), wherein the processor (104) is configured to:
receive the plurality of inputs,
analyse the plurality of inputs using one or more artificial intelligence (AI) algorithms,
train at least one model using the one or more AI algorithms,
predict cardiac disease, based at least on the analysis, and
generate an alert notification on the user interface (102) regarding the cardiac anomalies.

2. The system (100) as claimed in claim 1, wherein the at least one model includes random forest, decision tree or alike.

3. The system (100) as claimed in claim 1, wherein the AI model is trained using a historical data and training data.

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