DHR-ICMR Sponsored Workshop on Artificial Intelligence in Medical and Healthcare Applications 2018, Kongu Engineering College, Workshop, Erode, Tamil Nadu, 24th - 29th December 2018

  • Category: Workshop
  • Start Date: 24th December 2018
  • End Date: 29th December 2018
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DHR-ICMR Sponsored Workshop on Artificial Intelligence in Medical and Healthcare Applications 2018

Description

OBJECTIVE
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. In this workshop we covers the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then discuss in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.
The Workshop intends to provide a forum for researchers, enterprises and developers to share and discuss advances in the field of Artificial Intelligence applied to medicine and health care. The workshop covers theoretical and practical aspects as well as technologies and systems.
COURSE CONTENTS:
Artificial Intelligence Techniques in Medical and Health Sciences
Knowledge Management of Health Data
Data Mining and Knowledge Discovery in Healthcare
Machine and Deep learning approaches for Health Data
Natural Language Processing (NLP) methods
Medical decision support systems (MDSS)
Decision Support Systems for Healthcare and wellbeing
Optimization for healthcare problems
Regression and forecasting for medical and/or biomedical signals
Agent Oriented Techniques in Medicine
Health Care, Clinical & Wellness Information Systems
Medical Signal and Image Processing and Techniques
Biomedical Computer Vision, Imaging, and Signal Interpretation
Medical Expert Systems
Diagnoses and Therapy Support Systems
Medical Informatics and Biomedical Applications
Applications of AI in Health Care, Surgery and Wellbeing Systems
Medical Data- and Knowledge Bases
Neural Networks, Fuzzy logic in Medicine
Support vector machine, Genetic algorithm, Hybrid systems
Impact of Big Data on Healthcare
Protocols and Guidelines, Information Retrieval
Medical device technologies: Brain-computer interfaces
Biometrics, Cognitive Science, Medical Imaging
Pattern Recognition in Medicine, Ontology and Medical Information
Telemedicine and Cooperative Systems
Healthcare Process Management
Evaluation of Health Information Systems: Challenges and Approaches
AI Startups In Healthcare
Ambient Intelligence and Pervasive Computing in Medicine and Health Care
Social Aspects of AI in Medicine
Artificial Intelligence: Future of Medicine and Healthcare

Events

OBJECTIVE
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. In this workshop we covers the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then discuss in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.
The Workshop intends to provide a forum for researchers, enterprises and developers to share and discuss advances in the field of Artificial Intelligence applied to medicine and health care. The workshop covers theoretical and practical aspects as well as technologies and systems.
COURSE CONTENTS:
Artificial Intelligence Techniques in Medical and Health Sciences
Knowledge Management of Health Data
Data Mining and Knowledge Discovery in Healthcare
Machine and Deep learning approaches for Health Data
Natural Language Processing (NLP) methods
Medical decision support systems (MDSS)
Decision Support Systems for Healthcare and wellbeing
Optimization for healthcare problems
Regression and forecasting for medical and/or biomedical signals
Agent Oriented Techniques in Medicine
Health Care, Clinical & Wellness Information Systems
Medical Signal and Image Processing and Techniques
Biomedical Computer Vision, Imaging, and Signal Interpretation
Medical Expert Systems
Diagnoses and Therapy Support Systems
Medical Informatics and Biomedical Applications
Applications of AI in Health Care, Surgery and Wellbeing Systems
Medical Data- and Knowledge Bases
Neural Networks, Fuzzy logic in Medicine
Support vector machine, Genetic algorithm, Hybrid systems
Impact of Big Data on Healthcare
Protocols and Guidelines, Information Retrieval
Medical device technologies: Brain-computer interfaces
Biometrics, Cognitive Science, Medical Imaging
Pattern Recognition in Medicine, Ontology and Medical Information
Telemedicine and Cooperative Systems
Healthcare Process Management
Evaluation of Health Information Systems: Challenges and Approaches
AI Startups In Healthcare
Ambient Intelligence and Pervasive Computing in Medicine and Health Care
Social Aspects of AI in Medicine
Artificial Intelligence: Future of Medicine and Healthcare

Workshops

OBJECTIVE
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. In this workshop we covers the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, and the modern deep learning, as well as natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology. We then discuss in more details the AI applications in stroke, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation. We conclude with discussion about pioneer AI systems, such as IBM Watson, and hurdles for real-life deployment of AI.
The Workshop intends to provide a forum for researchers, enterprises and developers to share and discuss advances in the field of Artificial Intelligence applied to medicine and health care. The workshop covers theoretical and practical aspects as well as technologies and systems.
COURSE CONTENTS:
Artificial Intelligence Techniques in Medical and Health Sciences
Knowledge Management of Health Data
Data Mining and Knowledge Discovery in Healthcare
Machine and Deep learning approaches for Health Data
Natural Language Processing (NLP) methods
Medical decision support systems (MDSS)
Decision Support Systems for Healthcare and wellbeing
Optimization for healthcare problems
Regression and forecasting for medical and/or biomedical signals
Agent Oriented Techniques in Medicine
Health Care, Clinical & Wellness Information Systems
Medical Signal and Image Processing and Techniques
Biomedical Computer Vision, Imaging, and Signal Interpretation
Medical Expert Systems
Diagnoses and Therapy Support Systems
Medical Informatics and Biomedical Applications
Applications of AI in Health Care, Surgery and Wellbeing Systems
Medical Data- and Knowledge Bases
Neural Networks, Fuzzy logic in Medicine
Support vector machine, Genetic algorithm, Hybrid systems
Impact of Big Data on Healthcare
Protocols and Guidelines, Information Retrieval
Medical device technologies: Brain-computer interfaces
Biometrics, Cognitive Science, Medical Imaging
Pattern Recognition in Medicine, Ontology and Medical Information
Telemedicine and Cooperative Systems
Healthcare Process Management
Evaluation of Health Information Systems: Challenges and Approaches
AI Startups In Healthcare
Ambient Intelligence and Pervasive Computing in Medicine and Health Care
Social Aspects of AI in Medicine
Artificial Intelligence: Future of Medicine and Healthcare

Fest Guests

TARGET AUDIENCE
Faculty members working from Engineering, Arts and Medical Colleges, Research scholars, PG Students, Industry Persons from relevant background of Sciences and Engineering.
FACULTY
Sessions will be handled by experienced faculty members from reputed institutions and Experts from IT and Medical Fields.

Pro Nites

Artificial Intelligence Techniques in Medical and Health Sciences Knowledge Management of Health Data Data Mining and Knowledge Discovery in Healthcare Machine and Deep learning approaches for Health Data Natural Language Processing (NLP) methods Medical decision support systems (MDSS) Decision Support Systems for Healthcare and wellbeing Optimization for healthcare problems Regression and forecasting for medical and/or biomedical signals Agent Oriented Techniques in Medicine Health Care, Clinical & Wellness Information Systems Medical Signal and Image Processing and Techniques Biomedical Computer Vision, Imaging, and Signal Interpretation Medical Expert Systems Diagnoses and Therapy Support Systems Medical Informatics and Biomedical Applications Applications of AI in Health Care, Surgery and Wellbeing Systems Medical Data- and Knowledge Bases Neural Networks, Fuzzy logic in Medicine Support vector machine, Genetic algorithm, Hybrid systems Impact of Big Data on Healthcare Protocols and Guidelines, Information Retrieval Medical device technologies: Brain-computer interfaces Biometrics, Cognitive Science, Medical Imaging Pattern Recognition in Medicine, Ontology and Medical Information Telemedicine and Cooperative Systems Healthcare Process Management Evaluation of Health Information Systems: Challenges and Approaches AI Startups In Healthcare Ambient Intelligence and Pervasive Computing in Medicine and Health Care Social Aspects of AI in Medicine Artificial Intelligence: Future of Medicine and Healthcare

Accommodation

BOARDING AND LODGING
Accommodation and boarding if required will be provided in the college campus on chargeable basis to the participants.

How to reach Kongu Engineering College, Erode

ABOUT THE LOCATION
The college is situated at Perundurai on the National Highway (NH 47) about 80 km from Coimbatore and 20 km from Erode.

Mahatma Gandhi Seminar Hall,
School of Electrical Sciences,
Department of Electrical and Electronics Engineering,
Kongu Engineering College,
Perundurai – 638 060, Erode, Tamil Nadu, India.

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