Search Results - "cardiovascular"

Maternal critical care a multidisciplinary approach

Table of Contents: “…The Pregnant Patient with Co-Existing Disease -- Cardiovascular disease / Els Troost and Brian Brost --Respiratory disease / Stephen Lapinsky, Catherine Nelson-Piercy and Laura Price -- Thromboembolism / Ian Greer and Andra James -- Neurologic disease and neurologic catastrophes / Cynthia Wong and Roland Devlieger -- Renal disease/ Michelle Hladunewich and John Davison -- Cancer / Frederic Amant -- Endocrine disease / Erin Keely and Tracey Johnston -- Acute abdomen / Steve Lu and Vegard Dahl -- Sepsis / Luis Pacheco -- Trauma / Peter Rhee and Chris Rout -- Environmental injuries / Alfredo Gei and Arne Neyrinck -- Hepatic disease / Chris Verslype and Leonie Penna -- Autoimmune disease / Karim Djekidel and Bob Silver; Section 5. …”
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Lewis's Medical-Surgical Nursing Assessment and Management of Clinical Problems by Harding, Mariann M. author

Table of Contents: “…Professional nursing -- Health equity and culturally competent care -- Health history and physical examination -- Patient and caregiver teaching -- Chronic illness and older adults -- Stress management -- Sleep and sleep disorders -- Pain -- Palliative and end-of-life care -- Substance use disorders -- Inflammation and healing -- Genetics -- Immune responses and transplantation -- Infection -- Cancer -- Fluid, electrolyte, and acid-base imbalances -- Preoperative care -- Intraoperative care -- Postoperative care -- Assessment and management: visual problems -- Assessment and management: auditory problems -- Assessment: Integumentary system -- Integumentary problems -- Burns -- Assessment: Respiratory system -- Upper respiratory problems -- Lower respiratory problems -- Obstructive pulmonary diseases -- Assessment: Hematologic system -- Hematologic problems -- Assessment: Cardiovascular system -- Hypertension -- Coronary artery disease and acute coronary syndrome -- Heart failure -- Dysrhythmias -- Inflammatory and structural heart disorders -- Vascular disorders -- Assessment: Gastrointestinal system -- Nutritional problems -- Obesity -- Upper gastrointestinal problems -- Lower gastrointestinal problems -- Liver, biliary tract, and pancreas problems -- Assessment: Urinary system -- Renal and urologic problems -- Acute kidney injury and chronic kidney disease -- Assessment: Endocrine system -- Diabetes mellitus -- Endocrine problems -- Assessment: Reproductive system -- Breast disorders -- Sexually transmitted infections -- Female reproductive problems -- Male Reproductive problems -- Assessment: Nervous system -- Acute intracranial problems -- Stroke -- Chronic neurologic problems -- Dementia and delirium -- Spinal cord and peripheral nerve problems -- Assessment: Musculoskeletal system -- Musculoskeletal trauma and orthopedic surgery -- Musculoskeletal problems -- Arthritis and connective tissue diseases -- Critical care -- Shock, sepsis, and multiple organ dysfunction syndrome -- Acute respiratory failure and acute respiratory distress syndrome -- Emergency and disaster nursing -- Appendix A: Basic life support for health care providers -- Appendix B: Nursing diagnoses -- Appendix C: Laboratory reference intervals.…”
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Mechanisms of antihypertensive effect of standardized aqueousethanolic extract of Ficus deltoidea kunstleri in spontaneously hypertensive rats by Norasikin Ab Azis

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HEALTH AND WELLNESS FOR LIFE

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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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Neonatal and pediatric pharmacology therapeutic principles in practice

Table of Contents: “…Wilson and Margaret Ann Springer -- Cardiovascular drugs / Eli Zalzstein and Rafael Gorodischer -- Diuretics / Jean-Pierre Guignard -- Clinical pharmacology of antineoplastic drugs / Stacey L. …”
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Rosen's emergency medicine concepts and clinical practice

Table of Contents: “…Radiation injuries -- General approach to the poisoned patient -- Acetaminophen -- Aspirin and nonsteroidal agents -- Anticholinergics -- Antidepressants -- Cardiovascular drugs -- Caustics -- Cocaine and other -- Toxic alcohols -- Hallucinogens -- Heavy metals -- Hydrocarbons -- Inhaled toxins -- Lithium -- Antipsychotics -- Opioids -- Pesticides -- Plants, mushrooms, and herbal medications -- Sedative hypnotics -- General approach to the pediatric patient -- Fever -- Pediatric respiratory emergencies: upper airway obstruction and infections -- Pediatric respiratory emergencies: lower airway obstruction -- Pediatric respiratory emergencies: disease of the lungs -- Cardiac disorders -- Gastrointestinal disorders -- Infectious diarrheal disease and dehydration -- Renal and genitourinary tract disorders -- Neurologic disorders -- Musculoskeletal disorders -- Sudden infant death syndrome and apparent life-threatening events -- General approach to the pregnant patient -- Acute complications of pregnancy -- Chronic medical illness during pregnancy -- Drug therapy and substance abuse -- Labor and delivery and their complications -- The elder patient. …”
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Chestnut's obstetric anesthesia principles and practice

Table of Contents: “…Mhyre -- Autoimmune disorders / Phil Popham, Robert W. Reid -- Cardiovascular disease / Mladen I. Vidovich -- Endocrine disorders / Richard N. …”
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