Abstract

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% to 81.40% with a testing accuracy of 63.46%. The study also shows the top 5 symptoms that is mostly likely indicates the presence in MM. This study concludes that using predictive modeling can enhance primary presentation and diagnosis of MM.

Highlights

  • Malignant Pleural Mesothelioma (MPM) is a hostile tumor of mesothelial cells concomitant with preceding asbestos contact

  • In this study we provide a prediction model using logistic regression to diagnose the presence of MM based on early stage symptoms

  • We can infer from the results that logistic regression can improve primary diagnosis of mesothelioma disease and is a better approach than using no predictive model

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Summary

Introduction

Malignant Pleural Mesothelioma (MPM) is a hostile tumor of mesothelial cells concomitant with preceding asbestos contact. Staging system (Pass et al, 2016), challenging primary tumor identification process (Gill et al, 2016; Frauenfelder et al, 2011) and distinct biology (Bueno et al, 2016), impedes accurate prediction of MM. This fatal disease affects about two individuals per million per annum in a general population The primitive symptoms of MM such as (a) puffing, (b) dyspnea, (c) respiratory complications, (d) pain in the chest or abdomen, (e) fever and night sweats, (f) pleural effusion, (g) fatigue and (h) muscles weakness does not trigger a doctor to conduct a diagnosis of mesothelioma (MN, 2018) on time

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