Design And Forecasting Models For Disease Management
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Design and Forecasting Models for Disease Management
The book provides an essential overview of AI techniques in disease management and how these computational methods can lead to further innovations in healthcare. Design and Forecasting Models for Disease Management is a resourceful volume of 13 chapters that elaborates on computational methods and how AI techniques can aid in smart disease management. It contains several statistical and AI techniques that can be used to acquire data on many different diseases. The main objective of this book is to demonstrate how AI techniques work for early disease detection and forecasting useful information for medical experts. As such, this volume intends to serve as a resource to elicit and elaborate on possible intelligent mechanisms for helping detect early signs of diseases. Additionally, the book examines numerous machine learning and data analysis techniques in the biomedical field that are used for detecting and forecasting disease management at the cellular level. It discusses various applications of image segmentation, data analysis techniques, and hybrid machine learning techniques for illnesses, and encompasses modeling, prediction, and diagnosis of disease data. Audience Researchers, engineers and graduate students in the fields of computational biology, information technology, bioinformatics, and epidemiology.
AI Model Design and Data Management for Disease Prediction
Author: Muniasamy, Anandhavalli
language: en
Publisher: IGI Global
Release Date: 2025-07-09
The design of artificial intelligence (AI) models for disease prediction advances fields that combine medical expertise, data science, and computational power to improve diagnostic accuracy and patient outcomes. The design of predictive models is central to this process, tailored to analyze complex healthcare data. Effective data management in healthcare involves the collection, integration, and storage of high-quality clinical and biomedical datasets. Ensuring data privacy and addressing biases are challenges that must be navigated to develop reliable and ethical AI systems. Thoughtful model design and effective data management strategies may ensure earlier detection, personalized treatment, and better resource allocation in modern healthcare systems. AI Model Design and Data Management for Disease Prediction explores the integration of intelligent technologies into medical prediction and diagnosis. It examines the usage of AI for enhanced healthcare data management. This book covers topics such as data science, medical imaging, and prediction models, and is a useful resource for computer engineers, medical professionals, academicians, researchers, and data scientists.
Plant Pathology
Plant Pathology is a valuable, much-needed resource in plant pathological science. In a world where agriculture sustains life, the battle against crop diseases is paramount. This book is a comprehensive guide to understanding and managing disease threats. Plant Pathology dives into the intricate world of plant diseases. Authored by leading experts in the field, this book offers a comprehensive overview of plant pathology, covering everything from the fundamentals of disease development to advanced management strategies. Explore the fascinating mechanisms behind pathogen invasion and host response, unraveling the complex interactions that dictate disease outcomes. Delve into the diverse array of pathogens—from fungi and bacteria to viruses and nematodes—that wreak havoc on crops worldwide. This book doesn't stop at diagnosis but equips readers with the knowledge and tools to combat these threats effectively. The latest cutting-edge techniques in disease management, from cultural practices and biological control to the latest developments in genetic resistance, and chemical intervention are described. Important Features This book encompasses comprehensive coverage of the most essential topics including: 1. A comprehensive exploration of crop diseases, authored by leading experts. 2. Fundamental concepts of disease development and advanced management strategies. 3. Insights into pathogen invasion and host response mechanisms, spanning fungi, bacteria, viruses, and nematodes. 4. The latest techniques in disease management, including cultural practices, biological control, and genetic resistance. 5. Practical recommendations and case studies. This book equips researchers, plant pathology degree students, and farmers with the knowledge to safeguard crops, enhance yields, and ensure food security.