SIMLAH-2021: Swarm Intelligence and Machine Learning: Applications in Healthcare |
Submission link | https://easychair.org/conferences/?conf=simlah2021 |
Abstract registration deadline | July 30, 2021 |
Submission deadline | July 30, 2021 |
The Healthcare sector is characterized by difficulty, dynamism, and variety. In the 21st century, the 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 a 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.
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research along with swarm intelligence in healthcare informatics. This book also discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data in an optimized way by using swarm intelligence techniques. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making.
Applying Swarm Intelligence and Machine Learning Techniques in Healthcare is essential nowadays. The objective of this book is to highlight various Swarm Intelligence and machine learning 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 a one-stop reference for readers to think and explore Swarm Intelligence and machine learning Algorithms seriously for real-time patient diagnosis, as the book provides solutions to various complex diseases found critical for medical practitioners to diagnose in the real world.
List of Topics
- Swarm Intelligence and Machine Learning in Healthcare: Introduction
- Role of Swarm Intelligence and Machine Learning in Healthcare
- Swarm Intelligence and Machine Learning Algorithms for Cancer Diagnosis
- Swarm Intelligence and Machine Learning Algorithms for Heart Disease Diagnosis
- Swarm Intelligence and Machine Learning Algorithms for Brain Tumour Diagnosis
- Swarm Intelligence and Machine Learning Algorithms for Skin Cancer Detection
- Swarm Intelligence based Framework for Image Segmentation of Knee MRI Images for Detection of Osteoarthritis
- Swarm Intelligence and Machine Learning Algorithms for diagnosis of Cardiac Arrhythmias
- Swarm Intelligence and Machine Learning Algorithms for COVID-19
- Swarm Intelligence and Machine Learning Algorithms for Diagnosis of Bird flu.
Publication
SIMLAH-2021 proceedings will be published in CRC Press| Taylor & Francis Group
Contact
All questions about submissions should be emailed to "manishgupta.2007@gmail.com"