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Handbook of research on applied intelligence for health and clinical informatics / edited by Anuradha Dheeraj Thakare [and four others].
- Format:
- Book
- Language:
- English
- Subjects (All):
- Health services administration.
- Physical Description:
- 1 online resource (498 pages)
- Place of Publication:
- Hershey, Pennsylvania : IGI Global, [2022]
- Summary:
- Currently, informatics within the field of public health is a developing and growing industry. Clinical informatics are used in direct patient care by supplying medical practitioners with information that can be used to develop a care plan. Intelligent applications in clinical informatics facilitates with the technology-based solutions to analyze data or medical images and help clinicians to retrieve that information. Decision models aid with making complex decisions especially in uncertain situations. The Handbook of Research on Applied Intelligence for Health and Clinical Informatics is a comprehensive reference book that focuses on the study of resources and methods for the management of healthcare infrastructure and information. This book provides insights on how applied intelligence with deep learning, experiential learning, and more will impact healthcare and clinical information processing. The content explores the representation, processing, and communication of clinical information in natural and engineered systems. This book covers a range of topics including applied intelligence, medical imaging, telehealth, and decision support systems, and also looks at technologies and tools used in the detection and diagnosis of medical conditions such as cancers, diabetes, heart disease, lung disease, and prenatal syndromes. It is an essential reference source for diagnosticians, medical professionals, imaging specialists, data specialists, IT consultants, medical technologists, academicians, researchers, industrial experts, scientists, and students.
- Contents:
- Title Page
- Copyright Page
- Book Series
- List of Contributors
- Table of Contents
- Detailed Table of Contents
- Preface
- Chapter 1: A Novel Approach of Lung Tumor Segmentation Using a 3D Deep Convolutional Neural Network
- Chapter 2: An Intelligent Approach for Prediction of Life Style Conditions in Adolescent Girls by Analyzing Health Parameters
- Chapter 3: Anxiety Detection Using Physiological Data and Wearable IoT Devices
- Chapter 4: Applied Intelligence for Medical Diagnosing
- Chapter 5: Applied Intelligence for Mental Health Detection
- Chapter 6: Artificial Intelligence and Machine Learning-Based Advanced Depression Detection System
- Chapter 7: Automated ICD Coding Using Deep Learning
- Chapter 8: Autonomous Smart Device for COVID-19 Detection Using Artificial Intelligence
- Chapter 9: COVID-19 Data Forecasting and Spread Visualization Using ML
- Chapter 10: Decision Support Proposal for Imbalanced Clinical Data
- Chapter 11: Detection of Diabetic Retinopathy (DR) Using Convolutional Neural Network (CNN) and Multiple Classifier Techniques in Machine Learning
- Chapter 12: Face Detection With Face Mask for COVID-19 Pandemic Using Neural Networks
- Chapter 13: Healthcare and Cyber Physical Systems
- Chapter 14: Impact of Human Mobility Trends on the Outbreak of COVID-19 Across Different States of India
- Chapter 15: M2UNet++
- Chapter 16: Machine Learning-Aided Automatic Detection of Breast Cancer
- Chapter 17: ML-Enabled Informed Intervention for Crowdsourcing-Based Optimization of Medical Resources
- Chapter 18: Prediction and Recommendation System for Diabetes Using Machine Learning Models
- Chapter 19: Telehealth System for Effective Treatment in COVID-19 Pandemics
- Chapter 20: Telemedicine-Based Diabetic Care Powered With Artificial Intelligence.
- Chapter 21: Towards an Effective Imaging-Based Decision Support System for Skin Cancer
- Chapter 22: Web-Based Machine Learning Application for Heart Disease Prediction
- Chapter 23: Web-Based Modernized Architecture Over Cloud Computing for Facial Extraction and Recognition
- Compilation of References
- About the Contributors
- Index.
- Notes:
- Description based on print version record.
- Includes index.
- ISBN:
- 1-7998-7710-8
- OCLC:
- 1273972904
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