## Lecture: Symptom Screening for Covid-19
## Assigned Reading- Comparison of symptom screening and home tests Read►
- Non respiratory symptoms of COVID-19 Read►
- Symptom clusters for COVID-19 Read►
- Pairwise comparison of order of variables
## AssignmentFor this assignment you can use any statistical software.
- Describe the order of occurrence of the symptoms
- Create a Causal Network for clusters of symptoms of COVID-19
- Create the structure of the network:
- Using LASSO, regress the PCR test results on all variables and cluster of variables that precede it
- Using LASSO, regress each symptom on its preceding symptoms.
- In these regressions, statistically significant variables are parents in the Markov blanket of the regression response variable. Draw the network using Netica.
- Estimate the parameters of the network
- Using the LASSO regression, calculate the predicted value for all combinations of the parents in the Markov blanket of the regression's response variable.
- Create the structure of the network:
- Describe which cluster of symptoms rule out COVID-19
- Describe which cluster of symptoms increase risk of COVID-19
The following resources may be helpful: - Labeled training corpus Data►
- Python (not available at this time)
- Code for pairwise comparison of symptoms
## MoreFor additional information (not part of the required reading), please see the following links: - No-lab diagnosis of COVID-19 Read►
This page is part of the course on Comparative Effectiveness by Farrokh Alemi, Ph.D. Home► Email► |