Swarm intelligence and evolutionary algorithms in healthcare and drug development/ by Sandeep Kumar (Editor), Anand Nayyar (Editor), Anand Paul (Editor)

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Material type: Text

TextPublication details: Boca Raton, USA: CRC Press, Taylor & Francis Group, 2020Edition: 1st edDescription: xxi, 136p.: ill.; 24 cmISBN:

9780367257576

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DDC classification:

006.3824 KUS

Contents:

CHAPTER 1 ■ Swarm Intelligence and Evolutionary Algorithms in Disease Diagnosis—Introductory

CHAPTER 2 ■ Swarm Intelligence and Evolutionary Algorithms for Cancer Diagnosis

CHAPTER 3 ■ Brain Tumour Diagnosis

CHAPTER 4 ■ Swarm Intelligence and Evolutionary

CHAPTER 5 ■ Swarm Intelligence and Evolutionary

CHAPTER 6 ■ Swarm Intelligence and Evolutionary Algorithms for Drug Design and Development

Summary: Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world. Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world.

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Books List(s) this item appears in: Computer Science & Engineering

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	KU Central Library	Rack No. : 01 Annex : 01 Shelve No. : A-03	Reference Section (Non-Issuable Books)	006.3824 KUS 2020 (Browse shelf(Opens below))	C-1 (NI)	Not For Loan		52102

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Previous	006.3 NEA 2018 Artificial intelligence : with an introduction to machine learning /	006.31 KOP 2023 Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow /	006.31 LIR 2020 Reinforcement learning for cyber-physical systems with cybersecurity case studies /	006.3824 KUS 2020 Swarm intelligence and evolutionary algorithms in healthcare and drug development/	006.3824 PAS 2021 Swarm intelligence for cloud computing /	006.7 LAB 2017 The Big Humanities Digital Humanities/Digital Laboratories /	621.381011 TAD 2005 Distributed Systems : Principles and Paradigms /

Includes index.

CHAPTER 1 ■ Swarm Intelligence and Evolutionary

Algorithms in Disease Diagnosis—Introductory

CHAPTER 2 ■ Swarm Intelligence and Evolutionary

Algorithms for Cancer Diagnosis

CHAPTER 3 ■ Brain Tumour Diagnosis

CHAPTER 4 ■ Swarm Intelligence and Evolutionary

CHAPTER 5 ■ Swarm Intelligence and Evolutionary

CHAPTER 6 ■ Swarm Intelligence and Evolutionary

Algorithms for Drug Design and

Development

Healthcare sector is characterized by difficulty, dynamism and variety. In 21st century, healthcare domain is surrounded by tons of challenges in terms of Disease detection, prevention, high costs, skilled technicians and better infrastructure. In order to handle these challenges, Intelligent Healthcare management technologies are required to play an effective role in improvising patient’s life. Healthcare organizations also need to continuously discover useful and actionable knowledge to gain insight from tons of data for various purposes for saving lives, reducing medical operations errors, enhancing efficiency, reducing costs and making the whole world a healthy world.

Applying Swarm Intelligence and Evolutionary Algorithms in Healthcare and Drug Development is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and Evolutionary Algorithms techniques for various medical issues in terms of Cancer Diagnosis, Brain Tumor, Diabetic Retinopathy, Heart disease as well as drug design and development. The book will act as one-stop reference for readers to think and explore Swarm Intelligence and Evolutionary Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in real-world.

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