Search Results - Ken Dart~
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Adult obesity a paediatric challenge
Published 2003Table of Contents: “…Obesity: a global problem / Philip James -- Underactivity or overnutrition? / Ken Fox -- Do our genes make us fat? / Philippe Froguel -- The seeds are sown in childhood / Terry Wilkin -- Social inequalities, nutrition and obesity / Suzi Leather -- Self-image and stigma of obesity / Andrew J. …”
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The SAGE Handbook of Qualitative Research
Published 2018Click Here to View Status and Holdings.
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An introduction to clinical emergency medicine
Published 2012Table of Contents: “…Occupational exposures in the emergency department Greg Moran and Sophie Terp; Part IV. Appendices: Appendix A. …”
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71
THE ROUTLEDGE COMPANION TO PHILOSOPHY OF SOCIAL SCIENCE
Published 2017Table of Contents: “…HooverBias in Social Scientific Experimentation Sharon CrasnowCausal Inference and Modeling Tuukka KaidesojaCollective Intentionality Kirk Ludwig & Marija Jankovic Microfoundations, Mechanism, and Causal Powers Dan LittleSocial Ontology Brian EpsteinRealism and Anti-Realism Kareem Khalifa & Randall Harp Critical Realism Justin CruickshankObjectivity Eleonora MontuschiPart III. …”
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New perspectives and research on Malaysian history essays on Malaysian historiography
Published 2007Table of Contents: “…Kratoska -- Writing the history of the Chinese in Malaysia : new directions and bridging the gaps between two linguistic spheres / Danny Wong Tze Ken…”
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Predicting Heart Failure Invasive, Non-Invasive, Machine Learning No Artificial Intelligence Based Methods
Published 2022Table 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
Published 2022Table 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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Inclusive Physical Activities International Perspectives
Published 2017Table of Contents: “…Block, Michelle Grenier, and Yeshayahu "Shayke" Hutzler -- Understanding inclusion in physical education from the child's perspective / Janine Coates -- Play fighting as a strategy to cope with aggressive behaviors among youth with social disadvantages in italy / Erica Gobbi and Attilio Carraro -- Promoting social inclusion and physical activity for students with special educational needs through adventure education / Daniel Tindall, Melissa Parker, Deborah Tannehill, Daniel Tindall, and Jack Neylon -- Underserved urban minority children : overcoming the challenges and enhancing the benefits of engaging in physical activity / Alex C. Garn, Jeffrey Martin, Brigid Byrd, and Nate McCaughtry -- The use of multimedia and the internet in providing global training opportunities for coaches in adapted sports : case of sitting volleyball/volleyslide / Kwok Ng, Matt Rogers, and Ken Black -- A holistic approach to training for inclusion in physical education : policy, practice, challenges, and solutions / Philip Vickerman and Anthony Maher -- Reflections on professional practice in adapted physical activity through a social justice lens / Donna L. …”
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