Predicting Heart Failure
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portes grátis
Predicting Heart Failure
Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods
Kumar Sadasivuni, Kishor; Bait Bahadur, Issam; Al-Maadeed, Somaya; Ouakad, Hassen M.; Yalcin, Huseyin C.
John Wiley & Sons Inc
04/2022
352
Dura
Inglês
9781119813019
15 a 20 dias
834
Descrição não disponível.
Preface vii
Abbreviations ix
Acknowledgment xvii
1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1
Hidayet Takci
2 Conventional Clinical Methods for Predicting Heart Disease 23
Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni
3 Types of Biosensors and their Importance in Cardiovascular Applications 47
S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan
4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81
Mohamed Zied Chaari and Somaya Al-Maadeed
5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109
Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin
6 Artificial Intelligence Techniques in Cardiology: An Overview 139
Ikram-Ul Haq and Bo Xu
7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155
Ahmad Mousa Altamimi and Mohammad Azzeh
8 Applications of Machine Learning for Predicting Heart Failure 171
Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin
9 Machine Learning Techniques for Predicting and Managing Heart Failure 189
Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis
10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227
Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem
11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243
Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane
12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269
Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas
13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295
Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam
Index 321
Abbreviations ix
Acknowledgment xvii
1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1
Hidayet Takci
2 Conventional Clinical Methods for Predicting Heart Disease 23
Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni
3 Types of Biosensors and their Importance in Cardiovascular Applications 47
S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan
4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81
Mohamed Zied Chaari and Somaya Al-Maadeed
5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109
Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin
6 Artificial Intelligence Techniques in Cardiology: An Overview 139
Ikram-Ul Haq and Bo Xu
7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155
Ahmad Mousa Altamimi and Mohammad Azzeh
8 Applications of Machine Learning for Predicting Heart Failure 171
Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin
9 Machine Learning Techniques for Predicting and Managing Heart Failure 189
Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis
10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227
Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem
11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243
Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane
12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269
Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas
13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295
Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam
Index 321
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Heart failure research; treating heart failure; heart failure causes; symptoms; treatment; cardiovascular biosensors; AI cardiology; diagnosis and treatment
Preface vii
Abbreviations ix
Acknowledgment xvii
1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1
Hidayet Takci
2 Conventional Clinical Methods for Predicting Heart Disease 23
Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni
3 Types of Biosensors and their Importance in Cardiovascular Applications 47
S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan
4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81
Mohamed Zied Chaari and Somaya Al-Maadeed
5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109
Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin
6 Artificial Intelligence Techniques in Cardiology: An Overview 139
Ikram-Ul Haq and Bo Xu
7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155
Ahmad Mousa Altamimi and Mohammad Azzeh
8 Applications of Machine Learning for Predicting Heart Failure 171
Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin
9 Machine Learning Techniques for Predicting and Managing Heart Failure 189
Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis
10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227
Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem
11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243
Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane
12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269
Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas
13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295
Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam
Index 321
Abbreviations ix
Acknowledgment xvii
1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1
Hidayet Takci
2 Conventional Clinical Methods for Predicting Heart Disease 23
Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni
3 Types of Biosensors and their Importance in Cardiovascular Applications 47
S Irem Kaya, Leyla Karadurmus, Ahmet Cetinkaya, Goksu Ozcelikay, and Sibel A Ozkan
4 Overview and Challenges of Wireless Communication and Power Transfer for Implanted Sensors 81
Mohamed Zied Chaari and Somaya Al-Maadeed
5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109
Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin
6 Artificial Intelligence Techniques in Cardiology: An Overview 139
Ikram-Ul Haq and Bo Xu
7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155
Ahmad Mousa Altamimi and Mohammad Azzeh
8 Applications of Machine Learning for Predicting Heart Failure 171
Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin
9 Machine Learning Techniques for Predicting and Managing Heart Failure 189
Dafni K Plati, Evanthia E Tripoliti, Georgia S Karanasiou, Aidonis Rammos,Aris Bechlioulis, Chris J Watson, Ken McDonald, Mark Ledwidge, Yorgos Goletsis, Katerina K Naka, and Dimitrios I Fotiadis
10 Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low- Concentration CVD Biomarkers 227
Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem
11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243
Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane
12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269
Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas
13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295
Muhammad E.H Chowdhury, Amith Khandaker, Yazan Qiblawey, Fahmida Haque, Maymouna Ezeddin, Tawsifur Rahman, Nabil Ibtehaz, and Khandaker Reajul Islam
Index 321
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
