MACHINE LEARNING ALGORITHMS IN HEALTHCARE
Course 5401
3 Days
$1,800
We’ll explore the machine learning algorithms that are transforming the healthcare industry. You’ll learn how these algorithms work and how they’re applied to solve real healthcare problems, from predicting patient outcomes to analyzing medical images.
Who Should Take This Course?
This course is perfect for healthcare professionals, data scientists, or anyone interested in applying machine learning to healthcare. If you’re curious about how algorithms can improve patient care and want to gain practical skills in this area, this course is for you.
Course Format:
Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.
Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to [email protected]
Learning Objectives
- Understand key machine learning algorithms and how they apply to healthcare.
- Learn to select appropriate algorithms for different healthcare scenarios.
- Gain practical experience by implementing algorithms on healthcare datasets.
- Analyze and interpret results to drive healthcare decisions.
Course Topics
Introduction to Machine Learning in Healthcare
- Overview of machine learning applications in healthcare.
- Understanding healthcare datasets and their challenges.
Supervised Learning Algorithms
- Linear regression and logistic regression for healthcare data.
- Decision trees and random forests in clinical decision support.
Unsupervised Learning Algorithms
- Clustering techniques for patient segmentation.
- Dimensionality reduction for data visualization and interpretation.
Deep Learning in Healthcare
- Introduction to neural networks and their healthcare applications.
- Convolutional neural networks for medical image analysis.
Model Evaluation and Optimization
- Evaluating model performance with metrics like accuracy and precision.
- Techniques for improving model performance and reliability.
Ethics and Challenges in Healthcare AI
- Addressing ethical concerns in algorithmic decision-making.
- Ensuring fairness and transparency in machine learning applications.
Prerequisites
To make the most out of this course, you should have:
Class Schedule
We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to [email protected]
August 19 - August 21, 2024
9:00 AM – 5:00 PM EST
ML Algorithms in Healthcare
Virtual, EST
$1,800
Class ID: 5401
September 25 - September 27, 2024
9:00 AM – 5:00 PM EST
ML Algorithms in Healthcare
Virtual, EST
$1,600 (Limited time Offer)
Class ID: 5401
October 15 - October 17, 2024
9:00 AM – 5:00 PM EST
ML Algorithms in Healthcare
Virtual, EST
$1,800
Class ID: 5401
November 12 - November 14, 2024
9:00 AM – 5:00 PM EST
ML Algorithms in Healthcare
Virtual, EST
$1,600 (Limited time Offer)
Class ID: 5401
January 14 - January 16, 2025
9:00 AM – 5:00 PM EST
ML Algorithms in Healthcare
Virtual, EST
$1,800
Class ID: 5401
February 18 - February 20, 2025
9:00 AM – 5:00 PM EST
ML Algorithms in Healthcare
Virtual, EST
$1,800
Class ID: 5401
March 24 - March 26, 2025
9:00 AM – 5:00 PM EST
ML Algorithms in Healthcare
Virtual, EST
$1,800
Class ID: 5401
