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Feature Description

The proposed feature aims to enhance the diagnostic capabilities of the system by integrating a module for diagnosing Coronary Artery Disease (CAD). This feature would leverage medical data, including patient history, clinical symptoms, and diagnostic test results, to provide a comprehensive assessment of the likelihood of CAD. It could employ machine learning algorithms or rule-based systems to analyze the input data and generate a diagnostic outcome.

Use Case

The addition of a CAD diagnostic feature would significantly benefit users by providing a more comprehensive and automated approach to diagnosing heart-related conditions. Healthcare professionals could use this tool to assist in the early detection and management of CAD, leading to improved patient outcomes. Additionally, patients could use the feature for preliminary assessments, prompting timely medical consultations.

Benefits

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Priority

High

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