Artificial Intelligence, Machine Learning in Health Care and Clinical Use
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Course Overview
Workshop Registration End Date :2025-02-05
Program Syllabus
Module 1
About
This 3-day workshop focuses on leveraging AI and Machine Learning techniques in healthcare and clinical sciences. Machine learning has revolutionized multiple domains, and its application in healthcare can significantly enhance clinical decision-making processes. Participants will explore foundational concepts, algorithms, and tools for building AI/ML models, focusing on supervised and unsupervised learning techniques. Real-world applications like predictive models for diabetes will be a key highlight.
Participants will gain hands-on experience with R programming and Bioconductor packages, which are essential tools for computational statistics and bioinformatics. By the end of the workshop, attendees will be equipped to apply AI/ML algorithms in healthcare scenarios, critically evaluate model performance, and understand the ethical implications of AI in clinical use.
Module 2
Aim
The aim is to impact the decision-making process in the clinical context using AI/ML
Module 3
Workshop Objectives
- To find the algorithm that best classifies to predict the diabetes and evaluate the best algorithm.
- To help clinicians make better decisions by providing them with insights derived from vast datasets.
Module 4
Workshop Structure
Day 1: Introduction to AI/ML and Its Foundational Principles
- Basics of Artificial Intelligence, Machine Learning, Deep Learning.
- Supervised Leaning, Unsupervised Learning Naive Bayes, Decision Tree, and Random Forest
Day 2: R Studio and Bioconductor Packages
- R and Bioconductor packages installation
- Examples of AI/ML for Health Care and Clinical Use
Day 3: Application of AI/ML in Healthcare and Clinical Use
- Diabetes Prediction model based on AI/ML Algorithm
- Model evaluation and validation
Module 5
Participant’s Eligibility
- Undergraduate or postgraduate degree in Computer Science, Data Science, Life Sciences, Bioinformatics, or related fields.
- Clinicians, Data Scientists, Healthcare Analysts, or IT professionals working in the healthcare domain.
- Individuals with a keen interest in AI/ML and healthcare innovation.
Module 6
Important Dates
Module 7
Registration Ends
2025-02-05
Indian Standard Timing 7:00 PM
Module 8
Workshop Dates
2025-02-05 to 2025-02-07
Indian Standard Timing 8:00 PM
Module 9
Workshop Outcomes
- Understand foundational concepts of AI/ML in healthcare.
- Gain hands-on experience with R and Bioconductor packages.
- Build and validate a diabetes prediction model.
- Learn to evaluate the effectiveness of AI/ML models.
- Discuss ethical considerations in deploying AI/ML in healthcare.
Module 10
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 11
Student
INR. 1399
USD. 50
Module 12
Ph.D. Scholar / Researcher
INR. 1699
USD. 55
Module 13
Academician / Faculty
INR. 2199
USD. 60
Module 14
Industry Professional
INR. 2699
USD. 85
List of Currencies
Module 15
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Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 16
Future Career Prospects
- AI/ML Specialist in healthcare industries.
- Clinical Data Analyst or Biostatistician.
- Research Scientist in Biomedical Informatics.
- Health Tech Consultant.
- Bioinformatics Engineer.
- Product Manager in AI-driven healthcare solutions.
Module 19
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
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Module 20
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Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Artificial Intelligence, Machine Learning in Health Care and Clinical Use
Professional Certification Program
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FormatLive + Recorded
📅
Duration8 Weeks
📜
CertificationVerified
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