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

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

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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Fundamentals of family medicine

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Critical thinking in clinical practice improving the quality of judgments and decisions by Gambrill, Eileen D. 1934-

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Management mess-ups 57 pitfalls you can avoid (and stories of those who didn't) by Eppler, Mark 1946-

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End of life care a practical guide

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JUST DESIGN Socially Conscious Design for Critical Causes by Simmons, Christopher

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Competition law, comparative private enforcement and collective redress across the EU

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Herschell Gordon Lewis on the art of writing copy by Lewis, Herschell Gordon 1926-

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Neurocognitive rehabilitation of down syndrome the early years

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Diagnostic Imaging Obstetrics

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Arthroscopic and endoscopic spinal surgery text and atlas

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Forensic entomology the utility of arthropods in legal investigations

Table of Contents: “…Benoit -- Molecular genetic methods for forensic entomology / Jamie R. Stevens, Christine J. Picard, and Jeffrey D. Wells -- The soil environment and forensic entomology / Sasha C. …”
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Parking and the City

Table of Contents: “…Truth in transportation planning / Donald Shoup -- People, parking, and cities / Michael Manville and Donald Shoup -- The high cost of parking requirements / Donald Shoup -- The unequal burden of parking requirements / Donald Shoup -- Parking mismanagement: an Rx for congestion / Rachel Weinberger -- The United States of parking / Seth Goodman -- The fiscal and travel consequences of parking requirements / Chris McCahill, Norman Garrick, and Carol Atkinson-Palombo -- The environmental impacts of parking lots / Emma Kirkpatrick, Amélie Davis, and Brian Pijanowski -- Parking and affordable housing in San Francisco / Wenyu Jia and Martin Wachs -- The unintended consequences of New York City's parking requirements / Simon McDonnell and Josiah Madar -- The high cost of bundled parking / C.J. Gabbe and Gregory Pierce -- Parking policy in Asian cities / Paul Barter -- Parking infrastructure and the environment / Mikhail Chester, Arpad Horvath, and Samer Madanat -- The parking glut in Los Angeles / Andrew Fraser, Mikhail Chester, and Juan Matute -- Less off-street parking, more Mexico City / Rodrigo Garcia Resendiz and Andres Sañudo Gavaldon -- From parking minimums to parking maximums in London / Zhan Guo -- Putting a cap on parking requirements / Donald Shoup -- Parking requirements and housing development / Michael Manville -- Parking reforms made easy / Richard Willson -- Parking management for smart growth / Richard Willson -- On-street parking management vs. off-street parking requirements / Donald Shoup -- Abolishing parking requirements: a guide for practitioners / Patrick Siegman -- Buffalo abandons parking requirements / Daniel Hess -- Solar parking requirements / Donald Shoup -- Cruising for parking / Donald Shoup -- Free parking or free markets / Donald Shoup -- Informal parking on sidewalks / Donald Shoup -- Progressive parking prices / Michael Klein -- Progressive parking fines / Donald Shoup -- Disabled parking abuse / Michael Manville and Jonathan Williams -- Ending the abuse of disabled parking placards / Donald Shoup -- Ending disabled placard abuse at parking meters: the two-tier solution / Donald Shoup and Fernando Torres-Gil -- Parking charity / Donald Shoup -- Popular parking meters / Donald Shoup -- Parking limits: lessons from parking demand management in Berkeley / Elizabeth Deakin -- SFpark / Jay Primus -- SFpark: pricing parking by demand / Gregory Pierce and Donald Shoup -- Did SFpark work? …”
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The handbook of narrative and psychotherapy practice, theory, and research

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SUMMARY ANALYSIS OF Thinking, Fast and Slow Intuition or deliberation? Where you can (and can't) trust your brain by Daniel Kahneman

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Manual of clinical microbiology

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Clinical ethics in pediatrics a case-based textbook

Table of Contents: “…Requests for 'non-therapeutic' interventions in children Anthony J. Thomas and Charlisse Caga-Anan; Part II. Ethical Issues at the Beginning of Life: Perinatology and Neonatology: 10. …”
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Dermatologic principles and practice in oncology conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…West35 Dermatological Techniques and Procedures / Kishwer Nehal, Erica Lee and Robert Eilers -- 36 Appearance-Related Concerns in the Cancer Patient / Amy J. Derick.…”
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Planning for Community-Based Disaster Resilience Worldwide Learning from Case Studies in Six Continents

Table of Contents: “…Introduction: aspects of community-based disaster management and disaster resilience / Adenrele Awotona -- Africa : introduction / Adenrele Awotona -- Architectural curricula and the sustainable reconstruction of flood-devastated housing in Nigeria / Abiodun Olukayode Olotuah and Abraham Adeniyi Taiwo -- Crises and conflict-induced disasters in Nigeria : the challenges of curricular development on rebuilding devastated communities for sustainability / Zanzan Akaka Uji -- The vulnerability of rural households to climate hazards in the mountainous area of Kwande local government area, Benue state, Nigeria / Bernard Tarza Tyubee and Iankaa Aguse -- A comparative analysis of annual maxima time series models along the lower limpopo river basin of Mozambique / Daniel Maposa, James J. Cochran, and Maseka Lesaoana -- The Americas : introduction / Adenrele Awotona -- Prisons and disasters in the US : understanding why prisons are unprepared to respond to and recover from disasters / Melissa A. …”
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