Search Results - Al Gassim~

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  5. 125

    Predicting Heart Failure Invasive, Non-Invasive, Machine Learning No Artificial Intelligence Based Methods

    Published 2022
    Table of Contents: “…Preface vii Abbreviations ix Acknowledgment xvii 1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1Hidayet Takci 2 Conventional Clinical Methods for Predicting Heart Disease 23Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni 3 Types of Biosensors and their Importance in Cardiovascular Applications 47S 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 81Mohamed Zied Chaari and Somaya Al-Maadeed 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin 6 Artificial Intelligence Techniques in Cardiology: An Overview 139Ikram-Ul Haq and Bo Xu 7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155Ahmad Mousa Altamimi and Mohammad Azzeh 8 Applications of Machine Learning for Predicting Heart Failure 171Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin 9 Machine Learning Techniques for Predicting and Managing Heart Failure 189Dafni 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 227Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem 11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane 12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas 13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295Muhammad 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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  6. 126

    PREDICTING HEART FAILURE INVASIVE, NON-INVASIVE, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE BASED METHODS

    Published 2022
    Table of Contents: “…Preface vii Abbreviations ix Acknowledgment xvii 1 Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods for Prediction of Heart Failure 1Hidayet Takci 2 Conventional Clinical Methods for Predicting Heart Disease 23Aisha A-Mohannadi, Jayakanth Kunhoth, Al Anood Najeeb, Somaya Al-Maadeed, and Kishor Kumar Sadasivuni 3 Types of Biosensors and their Importance in Cardiovascular Applications 47S 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 81Mohamed Zied Chaari and Somaya Al-Maadeed 5 Minimally Invasive and Non-Invasive Sensor Technologies for Predicting Heart Failure: An Overview 109Huseyin Enes Salman, Mahmoud Khatib A.A Al-Ruweidi, Hassen M Ouakad, and Huseyin C Yalcin 6 Artificial Intelligence Techniques in Cardiology: An Overview 139Ikram-Ul Haq and Bo Xu 7 Utilizing Data Mining Classification Algorithms for Early Diagnosis of Heart Diseases 155Ahmad Mousa Altamimi and Mohammad Azzeh 8 Applications of Machine Learning for Predicting Heart Failure 171Sabri Boughorbel, Yassine Himeur, Huseyin Enes Salman, Faycal Bensaali,Faisal Farooq, and Huseyin C Yalcin 9 Machine Learning Techniques for Predicting and Managing Heart Failure 189Dafni 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 227Meena Laad, Sajna M.S, Kishor Kumar Sadasivuni, and Sadiya Waseem 11 Commercial Non-Invasive and Invasive Devices for Heart Failure Prediction: A Review 243Jayakanth Kunhoth, Nandhini Subramanian, and Ahmed Bouridane 12 Artificial Intelligence Based Commercial Non-Invasive and Invasive Devices for Heart Failure Diagnosis and Prediction 269Kanchan Kulkarni, Eric M Isselbacher, and Antonis A Armoundas 13 Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices 295Muhammad 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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    Zitelli and Davis' atlas of pediatric physical diagnosis

    Published 2012
    Table of Contents: “…Biglan -- Oral disorders / Brian Martin ... [et al.] -- Orthopedics / Vincent F. Deeney ... [et al.] -- Pediatric plastic surgery / Alexander Y. …”
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  10. 130

    Craniofacial surgery

    Published 2008
    Table of Contents: “…Goodrich -- Orbital dystopia / Cassio E. Raposo do Amaral and James P. Bradley -- Cleft lip and palate / Michael G. …”
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  11. 131

    Renewable Energy and Sustainable Technologies for Building and Environmental Applications Options for a Greener Future

    Published 2016
    Table of Contents: “…Inverse problem for phase change materials and preparation in building envelope / Xin Wang, Rui Yang and Saffa Riffat -- Natural composite membranes for water remediation : towards a sustainable tomorrow / Noor Hana Hanif Abu Bakar and Wei Leng Tan -- Polymeric heat exchangers : effect of chemistry and chemical composition to their performance / Mohd Firdaus Yhaya -- Solar induced ventilation strategies in contemporary tropical buildings : a review / Mazran Ismail and Abdul Malek Abdul Rahman -- Insights to current lighting technologies and low environmental impact artificial lighting / Xiaofeng Zheng -- Applications of air-to-air energy recovery system in various climatic conditions : towards reducing energy consumption in buildings / Mardiana Idayu Ahmad, Fatin Zafirah Mansur and Saffa Riffat -- Toplighting systems for improving indoor environment : a review / Karam M. Al-Obaidi and Abdul Malek Abdul Rahman -- Polychaetes as ecosystem engineers : agents of sustainable technologies / Widad Fadhulla and Muhammad Izzuddin Siyakir -- The cooling effects of plants on the built environment / Nooriati Taib and Aldrin Abdullah -- Turbine ventilator as low carbon technology / Yih Chia Tan, Mazran Ismail and Mardiana Idayu Ahmad -- Green binderless board from oil palm biomass / Rokiah Hashim, Wan Noor Aidawati Wan Nadhari and Othman Sulaiman -- Life cycle analysis of building materials / Muna Hanim Abdul Samad and Hafedh Abed Yahya -- A review on biofuel and bio-resources for environmental applications / Jeremiah David Bala, Japareng Lalung, Adel A.S. …”
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  12. 132
  13. 133

    Neonatal and pediatric pharmacology therapeutic principles in practice

    Published 2005
    Table of Contents: “…Manzi, Alana Arnold, and Al Patterson.…”
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  14. 134

    Dermatologic principles and practice in oncology conditions of the skin, hair, and nails in cancer patients

    Published 2014
    Table of Contents: “…Kim -- 26 RDERMATOLOGICAL PRINCIPLES AND PRACTICE IN ONCOLOGY / Rebecca Wong and Zahra Kassam -- 27 Hematopoietic stem cell transplantation and graft-versus-host disease / Stephanie Hu and Jonathan Cotliar -- 28 Extravasation Reactions / Seppo W. …”
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