Details

Autor(en) / Beteiligte

• Sadasivuni, Kishor Kumar,

Titel

Predicting heart failure : invasive, non-invasive,machine learning and artificial intelligence based methods

Ort / Verlag

Hoboken, New Jersey : John Wiley & Sons,

Erscheinungsjahr

[2022]

Link zum Volltext

• Wiley Online Library - AutoHoldings Books

Beschreibungen/Notizen

• Includes bibliographical references and index.
• Intro -- Predicting Heart Failure -- Contents -- Preface -- Abbreviations -- Acknowledgment -- 1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure -- 2 Conventional Clinical Methods for Predicting Heart Disease -- 3 Types of Biosensors and their Importance in Cardiovascular Applications -- 4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors -- 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview -- 6 Artificial Intelligence Techniques in Cardiology: An Overview -- 7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases -- 8 Applications of Machine Learning for Predicting Heart Failure -- 9 Machine Learning Techniques for Predicting and Managing Heart Failure -- 10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers -- 11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review -- 12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction -- 13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices -- Index -- EULA.
• Description based on print version record.