Data analysis for malignancy detection in R.
R
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
MS- 15-9- HALO, NAMES AGE DITED.xlsx
MS- 15-9- HALO, NAMES AGE DITED1.csv
MS_code.R
README.md
Rplot.png
output(3).pdf

README.md

Doppler-thyroid

This project is a simple data analysis of the effect of the Doppler ultrasound in predicting malignant thyroid nodules.

The data is given in MS- 15-9- HALO, NAMES AGE DITED.xlsx. It contains 134 observations and 20 variables. The dependent variable is "FINAL.DIAGNOSIS".

The results of the data analysis is given in the pdf file : output(4).pdf

The main steps in the analysis was Sensitivity and Specificity analysis of the variables, Association analysis of variables and the dependent variable through Cross tabulation and Chi-square and finally a logistic regression model.

All of the analysis was carried out in R. The code is given in the file MS_code.R

It was found that the variable Resistive Index (RI) is quite a powerful indicator of malignancy.