Search Results - Mohali~

Handbook of Instructional Communication Rhetorical and Relational Perspectives

Table of Contents: “…Hosek, Valerie Rubinsky & Jordan Soliz Chapter 11 - Race/Ethnicity in the Classroom.by Tina M. Harris & Mollie MurphyChapter 12 - Sexual and Gender Identity in the Classroom. …”
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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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Manual of neonatal respiratory care

Table of Contents: “…Transport of ventilated babies / Steven M. Donn and Molly R. Gates. Home ventilation / Wan Chong Tsai. …”
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Pediatric endocrinology mechanisms, manifestations, and management

Table of Contents: “…Haymond -- Genetics of type 1 diabetes / Alba E. Morales, Jin-Xiong She, and Desmond A. Schatz -- Pathophysiology of insulin-dependent diabetes / Rosanna V. …”
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The mind of the chimpanzee ecological and experimental perspectives

Table of Contents: “…Perlman, Victoria Horner, Mollie A. Bloomsmith, Susan P. Lambeth, and Steven J. …”
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Spine trauma

Table of Contents: “…Emergency management of spine injuries in polytrauma patients / Sohail K. Mirza. "Clearing" the cervical spine in the trauma patient / Darren R. …”
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SELF AND SOCIAL IDENTITY IN EDUCATIONAL CONTEXTS

Table of Contents: “…Rosenthal-Stott)Hero, voyeur, judge: understanding medical students' moral identities through professionalism dilemma narratives (Lynn V. …”
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Social Media The Academic Library Perspective

Table of Contents: “…A trial-by-fire case study in Facebook marketing / Molly Marcusse -- 9. YouTube -- 9.1 Case study 1: Thousands of views: why three simple library videos have done so well / Dan Sich -- 9.2 Case study 2: Show me: getting YouTube videos to your students through SEO / Lauren Valentino Bryant -- 10. …”
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The Cambridge Handbook of Research Methods in Clinical Psychology

Table of Contents: “…Schaffner -- Building models of psychopathology spanning multiple modalities of measurement / Noah C. Venables and Christopher J. …”
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Textbook of pediatric infectious diseases

Table of Contents: “…Dutta -- Acute viral hepatitis / Malathi Sathiyasekaran -- Herpes simplex virus infection in children / Niranjan Mohanty -- Parvovirus B19 infection in children / Lalitha Kailas -- Varicella zoster / Parang Mehta -- Respiratory syncytial virus infection / M. …”
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Dermatologic principles and practice in oncology conditions of the skin, hair, and nails in cancer patients

Table of Contents: “…Wagner and David Cella -- 7 Dermatopathology / James L. Troy and Molly Hinshaw -- Section 2 8 Cancer-Related Dermatologic Disorders / Cindy England Owen and Jeffrey P. …”
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Majelis ramadhan by Al-Utsaimin, Muhammad bin Shalih

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Neonatal and pediatric pharmacology therapeutic principles in practice

Table of Contents: “…Coté -- Nonsteroidal antiinflammatory drugs / Sylvain Chemtob -- Antihypertensive agents / Thomas C. Wells and Mohammed Ilyas -- Gastrointestinal drugs / Laura P. …”
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The Routledge Research Companion to Popular Music Education

Table of Contents: “…Teaching the Devil's Music: Some Intersections of Popular Music, Education and Morality in a Faith-School Setting / Tom Parkinson -- 31. …”
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50 Bauhaus icons you should know by Strasser, Josef

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Manage IT as a Business How to Achieve Alignment and Add Value to the Company by Lientz, Bennet P., Larssen, Lee

Table of Contents: “…Personnel and Staffing IssuesIntroductionIT Staff Turnover is HighIT Morale is LowThere is Poor Communications between IT and UsersToo Much Critical Work Depends on the Same Few PeopleIT Staff Members Work in IsolationSupervisors Lack Management Skills14. …”
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The edge of vision the rise of abstraction in photography by Rexer, Lyle

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Wuthering Heights Edited with an Introduction and Notes by PAULINE NESTOR; Preface by LUCASTA MILLER by Bronte, Emily 1818-1848

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FALSAFAH AKHLAK by Mohd Nasir Omar

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