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

by   Avishek Choudhury, et al.

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.



There are no comments yet.



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

Logistic regression is a commonly used method for binary classification....

Predicting Cancer Using Supervised Machine Learning: Mesothelioma

Background: Pleural Mesothelioma (PM) is an unusual, belligerent tumor t...

Soft Rule Ensembles for Statistical Learning

In this article supervised learning problems are solved using soft rule ...

Likelihood-ratio calibration using prior-weighted proper scoring rules

Prior-weighted logistic regression has become a standard tool for calibr...

Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases

Following the publication of an attack on genome-wide association studie...

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

We report a model to predict patient's radiological response to curative...

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...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.