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AI and Machine Learning in Healthcare
AI and Machine Learning in Healthcare
December 16-20, 2024
Resource Persons: Dr. Swapnil Gadhave and Dr. Ritu Vashistha
Background
The healthcare industry is undergoing a transformative shift, driven by the integration of Artificial Intelligence (AI) and Machine Learning (ML). These technologies are revolutionizing patient care, diagnostics, treatment planning, and operational efficiency. However, their successful implementation in healthcare requires more than just technological tools; it demands a deep understanding of AI and ML concepts, practical skills in applying these technologies. As healthcare systems face increasing pressures to improve outcomes and reduce costs, AI and ML offer powerful solutions. Yet, there is a significant gap in knowledge and skills among healthcare professionals, academicians, and researchers regarding these technologies.
Programme Objectives
The objectives of the programme are as follows:
- Understand the core concepts of AI/ML
- Applying AI/ML in healthcare
- Choosing ML models based on data and healthcare needs
- Developing practical healthcare solutions using real-world data
Contents
- Fundamentals of AI and ML in Healthcare
- Describe the steps that comprise the Social Marketing Process.
- Introduction to Machine Learning Algorithms
- Supervised Learning Techniques
- Model Evaluation and Validation
- Approach to Choosing the ML Model
- Unsupervised Learning Techniques
- Advanced Unsupervised Learning Models
Who should attend?
- Healthcare Professionals and healthcare administrators looking to integrate AI and ML into clinical practices and healthcare management.
- Faculty members, PhD students, and researchers in healthcare, biomedical engineering, and data science who are interested in applying AI and ML in their research and teaching.
- Data scientists, analyst, and professionals working with healthcare data
- IT managers, software developers, and system integrators in the healthcare industry
- Individuals involved in policy planning, and programme management
- Public health professionals focused on population health, epidemiology, and public health
Pedagogy
The programme pedagogy combines theoretical knowledge with hands-on training using tools like Google Colab and Orange, enabling participants to preprocess data, select appropriate ML models, and analyse healthcare datasets effectively. The participants will be equipped to apply AI and ML to real-world healthcare challenges. The participants are immersed in a dynamic learning environment designed to foster theoretical understanding, actionable insights, and practical skills.
Resource Persons
The programme is offered by a team of resource persons including academicians, researchers and subject experts. They include:
Dr. Swapnil Gadhave, PhD
Assistant Professor and Programme Coordinator,
IIHMR University, Jaipur
Dr. Ritu Vashistha, PhD
Assistant Professor,
IIHMR University, Jaipur
The national and international resource persons will be engaged in delivering the programme.
Programme Fee
The fee for the Indian participants is INR 41,250 plus GST (18% as applicable), and for international participants, it is USD 770 plus GST (18% as applicable). The fees include tuition, background reading material, programme kit, stay, breakfast, lunch, dinner, and tea/coffee during the programme.
Discounts
Early Bird Discount: Nominations received with payments before four weeks will be entitled to a 10% early bird discount.
Group Discount: Any organization sponsoring four or more participants to the programme will be entitled to a 20% discount on the total fee payable, provided that at least four participants attend the programme
Maximum Discount: Organizations can avail themselves of both the discounts subject to a maximum discount of 20%.
Duration & Venue
The programme will start on Monday, December 16, 2024, and conclude on Friday, December 20, 2024. The participants are advised to schedule their check-in on the evening of Sunday, December 15, 2024, and check-out on the morning of Friday, December 20, 2024.
The programme will be organized at IIHMR University, 1, Prabhu Dayal Marg, Near Sanganer Airport, Jaipur – 302 029, Rajasthan. The University campus provides a learning environment for the participants, who are welcome to use the library and recreational facilities at the campus.
Certification
A Certificate of participation on completion of the program will be issued by IIHMR University, Jaipur.
Nominations/Registration
Please send your nominations/registrations to the following address:
Programme Officer (Training)
IIHMR University
1, Prabhu Dayal Marg, Sanganer Airport
Jaipur – 302029, Rajasthan
Phone Number: Mobile: +919358790012, 0141-3924700
Email: training@iihmr.edu.in
Academic Programs
About Us
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IIHMR University
1, Prabhu Dayal Marg,Near Sanganer Airport, Jaipur - 302029
Phone: 91-141-3924700, 2791431-32
E-mail: iihmr@iihmr.edu.in
