<p>Preface vii</p> <p>Abbreviations ix</p> <p>Acknowledgment xvii</p> <p><b>1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure </b><b>1<br /></b><i>Hidayet Takcı</i></p> <p><b>2 Conventional Clinical Methods for Predicting Heart Disease </b><b>23<br /></b><i>Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni</i></p> <p><b>3 Types of Biosensors and their Importance in Cardiovascular Applications </b><b>47<br /></b><i>S Irem Kaya, Leyla Karadurmuş, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan</i></p> <p><b>4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors </b><b>81<br /></b><i>Mohamed Zied Chaari and Somaya Al-Maadeed</i></p> <p><b>5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview </b><b>109<br /></b><i>Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin</i></p> <p><b>6 Artificial Intelligence Techniques in Cardiology: An Overview </b><b>139<br /></b><i>Ikram-Ul Haq and Bo Xu</i></p> <p><b>7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases </b><b>155<br /></b><i>Ahmad Mousa Altamimi and Mohammad Azzeh</i></p> <p><b>8 Applications of Machine Learning for Predicting Heart Failure </b><b>171<br /></b><i>Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin</i></p> <p><b>9 Machine Learning Techniques for Predicting and Managing Heart Failure </b><b>189<br /></b><i>Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,</i><i>Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis</i></p> <p><b>10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers </b><b>227<br /></b><i>Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem</i></p> <p><b>11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review <i>243<br /></i></b><i>Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane</i></p> <p><b>12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction </b><b>269<br /></b><i>Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas</i></p> <p><b>13 Future Techniques and Perspectives on Implanted and Wearable Heart </b><b>Failure Detection Devices </b><b>295<br /></b><i>Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, </i><i>Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam</i></p> <p>Index 321</p>