Bioinformatics and Medical Applications

Preface

This book features bioinformatics applications in the medical field that employ deep learning algorithms to analyze massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. In addition to delivering the various bioinformatics computational methods used to identify diseases at an early stage, it also collects cutting-edge resources in a single source designed to enlighten the reader with topics centered on computer science, mathematics, and biology. Since bioinformatics is critical for data management in the current fields of biology and medicine, this book explains the important tools used by bioinformaticians and examines how they are used to evaluate biological data in order to advance disease knowledge.

As shown in the chapter-by-chapter synopsis that follows, the editors of this book have curated a distinguished group of perceptive and concise chapters that reflect the current state of medical treatments and systems and offer emerging solutions for a more personalized approach to the healthcare field. Since applying deep learning techniques for data-driven solutions in health information allows automated analysis, this method can be more advantageous in addressing the problems arising from medical- and health-related information.

• – Chapter 1, “Probabilistic Optimization of Machine Learning Algorithms for Heart Disease Prediction,” discusses the ensemble learning that overcomes the ...