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Machine Learning for Healthcare Lecture series

HomeMachine Learning for Healthcare Lecture series
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Machine Learning for Healthcare Lecture series

by Usman Akhtaron 3 January 2020in

This lecture series is part of the Asi@Connect project Intelligent Medical Services over TEIN.

Machine learning will dramatically improve health care. There are already myriad impactful ML health care applications from imaging to predicting readmissions to the back office. This lecture series will address the machine learning basics and their importance to the medical domain, along with issues related to data quality enhancement. Furthermore, this lecture series will lay the foundation for understanding supervised learning and intuition behind a number of ML models along with fundamental concepts in the visualization of model performance under various kinds of uncertainty.

Course Content

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Lessons Status
1

Healthcare problems and Machine Learning solutions

2

Data Quality Enhancement

3

Predictive Modeling for Supervised Learning

4

Ensemble-based Model Construction
  • This lecture will deal with the detailed treatment of ensemble based decision tree models

5

Model Performance Evaluation
  • This lecture will address fundamental concepts in visualization of model performance under various kinds of uncertainty

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Written by Usman Akhtar

Hello, i have been involved in research and development activity mainly in the area of distributed systems.

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The UCLab. at the Kyung Hee University is consisted of more than 30 Post-doc, Ph.D and Master students, working on research projects under the supervision of Prof. Sungyoung Lee, who studied in the field of ubiquitous systems.

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