Description: Machine Learning-Based Heart Disease Diagnosis by Pooja Rani Machine learning-based heart disease diagnosis is a rapidly evolving area of research that aims to improve the accuracy and efficiency of cardiovascular disease diagnosis using artificial intelligence (AI) algorithms. The use of machine learning models trained on medical imaging and electronic health record (EHR) data has shown promising results in predicting and diagnosing heart disease, as well as identifying risk factors and potential treatments. Predictive models can extract relevant features from EHR data and medical images to identify patterns and predict future outcomes. The use of deep learning algorithms and expert systems can further improve the sensitivity, specificity, and accuracy of heart disease diagnosis. The potential benefits of machine learning-based heart disease diagnosis include improving clinical decision-making, providing personalized treatment plans, and reducing healthcare costs. Additionally, machine learning-based diagnosis has the potential to improve the speed and accuracy of diagnosis, leading to improved patient outcomes. Overall, machine learning-based heart disease diagnosis is an important area of research with significant potential for improving cardiovascular health and patient care. FORMAT Paperback CONDITION Brand New Details ISBN5284979710 Author Pooja Rani Pages 188 Publisher Ary Publisher Year 2023 ISBN-13 9785284979716 Format Paperback Publication Date 2023-03-27 Imprint Ary Publisher Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159404438;
Price: 55.07 AUD
Location: Melbourne
End Time: 2025-01-29T03:19:17.000Z
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Format: Paperback
ISBN-13: 9785284979716
Author: Pooja Rani
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Book Title: Machine Learning-Based Heart Disease Diagnosis
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