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Critical explorations.
Coronary and cardiothoracic critical care: breakthroughs in research and practice / [edited by] Information Resources Management Association. — 1 online resource. — (Critical explorations). — <URL:http://elib.fa.ru/ebsco/2090034.pdf>.

Record create date: 3/25/2019

Subject: Cardiac intensive care.; Heart — Diseases — Treatment.; Critical care medicine.; Heart Diseases — therapy; Critical Care; Soins intensifs en cardiologie.; Cœur — Maladies — Traitement.; Soins intensifs.; HEALTH & FITNESS — Diseases — General.; MEDICAL — Clinical Medicine.; MEDICAL — Diseases.; MEDICAL — Evidence-Based Medicine.; MEDICAL — Internal Medicine.; Cardiac intensive care.; Heart — Diseases — Treatment.

Collections: EBSCO

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"This book is an essential reference source for the latest scholarly material on emerging strategies and methods for delivering optimal healthcare for those with coronary and cardiothoracic diseases. It also examines the latest techniques and methods used in cardiovascular care"--Provided by publisher.

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Table of Contents

  • Title Page
  • Copyright Page
  • Editorial Advisory Board
  • List of Contributors
  • Table of Contents
  • Preface
  • Section 1: Detection and Diagnosis
    • Chapter 1: Advancements in Cardiovascular Diagnostics
    • Chapter 2: An Efficient Coronary Disease Diagnosis System Using Dual-Phase Multi-Objective Optimization and Embedded Feature Selection
    • Chapter 3: A New Approach for Coronary Artery Diseases Diagnosis Based on Genetic Algorithm
    • Chapter 4: Big Data Analysis for Cardiovascular Diseases
    • Chapter 5: Real-Time Cardio Monitoring and Characterization of Diseases Introducing Statistical and Spectrogram Analysis
    • Chapter 6: Heart Disease Diagnosis Using Fuzzy Supervised Learning Based on Dynamic Reduced Features
    • Chapter 7: Image Fusion Method and the Efficacy of Multimodal Cardiac Images
  • Section 2: Prediction, Monitoring, and Prevention
    • Chapter 8: Interdisciplinary Approach to Cardiovascular Diseases for Research and Everyday Clinical Practice Purposes
    • Chapter 9: Development of a Fuzzy Logic-Based Model for Monitoring Cardiovascular Risk
    • Chapter 10: Analysis of Machine Learning Algorithms in Health Care to Predict Heart Disease
    • Chapter 11: Prediction of Heart Disease Using Random Forest and Rough Set Based Feature Selection
    • Chapter 12: Computer Predictive Model for Plaque Formation and Progression in the Artery
    • Chapter 13: Cardiovascular Disease Prediction Using Data Mining Techniques
  • Section 3: Surgical Procedures and Perioperative Care
    • Chapter 14: Epidemiology of Cardiac Surgery and the Cardiac Surgical Patient
    • Chapter 15: Neurologic Complications in the Cardiac Surgery Patient
    • Chapter 16: Cardiac Remodeling Under Hyperoxic Conditions
    • Chapter 17: Recent Innovations in Coronary Stents
    • Chapter 18: Thoracic Aortic Disease
    • Chapter 19: Aortic Valvular Disease
    • Chapter 20: Coronary Artery Disease
  • Section 4: Treatment and Rehabilitation
    • Chapter 21: Cardiovascular Disease in Elderly an Early Care
    • Chapter 22: Anticoagulation Options
    • Chapter 23: Nanoparticle-Based Drug Delivery Systems for Cardiovascular Applications
    • Chapter 24: Evolving Concepts for Use of Stem Cells and Tissue Engineering for Cardiac Regeneration
    • Chapter 25: Dance as a Supplementary Instrument for Cardiac Rehabilitation
  • Index

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