MLHMD 2019: Machine Learning for Healthcare: Handling and Managing Data |
Submission link | https://easychair.org/conferences/?conf=mlhmd2019 |
Abstract registration deadline | June 30, 2019 |
Submission deadline | December 30, 2019 |
Machine Learning for Healthcare: Handling and Managing Data
By CRC Press (Taylor & Francis Group)
Machine learning models determine a set of rules using vast amounts of computing power that a human brain would be incapable of processing. The more data a machine learning model is fed, the more complex the rules - and the more accurate the predictions. Whereas a statistical model is likely to have an inherent logic that can be understood by most people, the rules created by machine learning are often beyond human comprehension because our brains are incapable of digesting and analyzing enormous data sets. Deep learning is a buzzword we hear a lot but is often misused, in reality it is just a special case of one machine learning algorithm: artificial neural networks. A neural network is an algorithm that was inspired by the ways a brain works, and involves many nodes (or `neurons') that are often connected together in layers to form a network. A neural network must have at least two layers - a layer of inputs and a layer of outputs. There may be many ‘hidden’ layers between the input layer and output layer, and these are used to extract more information by exploiting structure in the data.
We are trying to cover the research issues and important concepts of Machine Learning technology in healthcare industry. This book will provide in depth information about handling and managing healthcare data by Machine Learning methods. Through this book we will try our best to show readers about the links between Machine Learning & computer science applications in healthcare sector in a broad perspective.
Table of Contents
- Disease Identification and Diagnosis using Machine Learning
- Drug Discovery
- Swarm intelligence for feature optimization for healthcare
- Smart Health Record Management
- Clinical Trial Research
- Medical Information System
- Medical Imaging
- Diagnosis in Medical Imaging
- Crowdsourced Medical Data Collection & Accumulation
- Healthcare data Analytics using Swarm intelligence
- Bioinformatics and Biometrics
- Robotic Surgery
- Cancer Informatics
- Automatic Treatment Recommendation
- Decision Support System to Improve Patient Care
- Medical Cyber Physical Systems
- Diabetic Retinopathy
- Medical Interpretation
- Personalized Medication
- Bio-inspired Computing for Deep Learning
- Multi Agent System and Swarm intelligence and in healthcare
- Role of Metaheuristic Algorithms in healthcare
Important Dates
One-page Abstract with Chapter Briefing Submission deadline: 20.06.2019
Abstract Abstraction Notification: 30-07-2019
Full Chapter Submission: 30-12-2019
Review Notification: 30-12-2019
Final Decision Notification: 30.12.2019