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Generated by ChatGPT
Overview
Objectives
- Analyze data using one of the methods of health informatics program
- Review work done in prior classes
Assigned Reading
The reading material for this section of the course come from your
previous courses and depend on the method you choose to use. In analyzing response to antidepressants we use regression models
derived from the knowledgebase of the AI system:
- Overview on progress in creating an AI system for
management of depression
Slides►
Video►
YouTube►
- EHR Augmented Knowledgebase for AI inferences
- Sample knowledgebase for calculating likelihood of outcomes
Download►
- The Medical Artificial General Knowledge (MAGI) algorithms
- Sign and return by email to instructor the NDA agreement Download►
- Description of MAGI algorithm and an example application
Download►
- Background information
- Learning network models through
regressions
Slides►
Narrated slides►
Video►
YouTube►
- SAFE procedure allows discarding a large number of variables prior
to LASSO regression
Read►
- SAFE procedure using likelihood ratios
Slides►
Video►
- Predicting response to antidepressants
in general population
PubMed►
- Source Code Part 2: Adding AI Predictors, Generating Prediction, and Executing Regressions
PDF►
- Reference regression coefficients for predicting response to
antidepressants
CSV►
- Divya Bhavanam's Teach One on predicting from the AI system and All of Us data
YouTube►
- Reduce computational and memory problems in All of Us data analysis
YouTube►
Instruction for Submission of Assignments: Submission
should follow these rules:
- Include a statement by the project manger that submission is correct
and assignments was done on time
- Submit your answers in a Jupyter Notebook
Download►
YouTube►
Slides►
- Submit you answers in Canvas.
Task 1
Predict response
to citalopram for a patient that presents with following medical history:
Patient's Expressions and Matched Medical History Events
| Matched Code |
What the Patient
Said |
Short Name |
| px_CPT4_0025T |
"I had a test to measure the
thickness
of both my corneas, and the doctor reviewed the results." |
Cornea |
| dx_SNOMED_47639008 |
"I had a cyst near my
tailbone." |
Cyst |
| px_CPT4_00840 |
"They gave me anesthesia for a lower
abdominal surgery, but I’m not sure what kind.” |
Anesthesia |
| aa_meas_citalopram_rem |
"Citalopram helped improve my mood." |
Response |
Resources for Task 1:
- The sample MAGI knowledgebase is available here:
Download►
- Sign and return by email to instructor the NDA agreement
Download►
- Description of MAGI algorithm with example calculations
Download►
Task 2
Write the method section of your final project report
Write the result section of your final project report.
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