Intelligent Data Analytics for Bioinformatics and Biomedical Systems
- English
- PDF
- Available on iOS & Android
Intelligent Data Analytics for Bioinformatics and Biomedical Systems
About this book
The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems.
Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases.
This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges.
Audience
Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.
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Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- Preface
- Acknowledgment
- Chapter 1 Advancements in Machine Learning Techniques for Biological Data Analysis
- Chapter 2 Predictive Analytics in Medical Diagnosis
- Chapter 3 Skin Disease Detection and Classification
- Chapter 4 Computer-Aided Polyp Detection Using Customized Convolutional Neural Network Architecture
- Chapter 5 Computational Intelligence Induced Risk in Modern Healthcare: Classical Review and Current Status
- Chapter 6 A Hybrid Deep Learning Framework to Diagnose Sleep Apnea Using Electrocardiogram Signals for Smart Healthcare
- Chapter 7 Deep Ensemble Feature Extraction Based Classification of Bleeding Regions Using Wireless Capsule Endoscopy Images
- Chapter 8 Advances in Brain Tumor Detection and Localization: A Comprehensive Survey
- Chapter 9 Integrating Apriori Algorithm with Data Mining Classification Techniques for Enhanced Primary Tumor Prediction
- Chapter 10 Deep Learning in Genomics, Personalized Medicine, and Neurodevelopmental Disorders
- Chapter 11 Emerging Trends of Big Data in Bioinformatics and Challenges
- Chapter 12 Wearable Devices and Health Monitoring: Big Data and AI for Remote Patient Care
- Chapter 13 Disease Biomarker Discovery with Big Data Analysis
- Chapter 14 Real-Time Epilepsy Monitoring and Alerting System Using IoT Devices and Machine Learning Techniques in Blockchain-Based Environment
- Chapter 15 Integrating Quantum Computing in Bioinformatics and Biomedical Research
- Chapter 16 Future Perspective and Emerging Trends in Computational Intelligence
- Index
- Also of Interest
- Eula