Identification of Cancer - Mesothelioma Disease Using Logistic Regression and Association Rule

12/11/2018
by   Avishek Choudhury, et al.
0

Malignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about seventy-five percent of all mesothelioma diagnosed yearly in the United States of America. Being a fatal disease, early identification of MPM is crucial for patient survival. Our study implements logistic regression and develops association rules to identify early stage symptoms of MM. We retrieved medical reports generated by Dicle University and implemented logistic regression to measure the model accuracy. We conducted (a) logistic correlation, (b) Omnibus test and (c) Hosmer and Lemeshow test for model evaluation. Moreover, we also developed association rules by confidence, rule support, lift, condition support and deployability. Categorical logistic regression increases the training accuracy from 72.30 accuracy of 63.46 likely indicates the presence in MM. This study concludes that using predictive modeling can enhance primary presentation and diagnosis of MM.

READ FULL TEXT
research
02/16/2021

The MELODIC family for simultaneous binary logistic regression in a reduced space

Logistic regression is a commonly used method for binary classification....
research
10/31/2021

Predicting Cancer Using Supervised Machine Learning: Mesothelioma

Background: Pleural Mesothelioma (PM) is an unusual, belligerent tumor t...
research
05/21/2012

Soft Rule Ensembles for Statistical Learning

In this article supervised learning problems are solved using soft rule ...
research
10/25/2014

An Aggregation Method for Sparse Logistic Regression

L_1 regularized logistic regression has now become a workhorse of data m...
research
07/30/2013

Likelihood-ratio calibration using prior-weighted proper scoring rules

Prior-weighted logistic regression has become a standard tool for calibr...
research
03/07/2020

Early Response Assessment in Lung Cancer Patients using Spatio-temporal CBCT Images

We report a model to predict patient's radiological response to curative...
research
07/31/2020

Performance of Multi-group DIF Methods in Assessing Cross-Country Score Comparability of International Large-Scale Assessments

Standardized large-scale testing can be a debatable topic, in which test...

Please sign up or login with your details

Forgot password? Click here to reset