A hybrid mortality prediction model of patients with cavitary pulmonary carcinomas

Saad, M.

doi:10.1101/341156

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bioRxiv · 10.1101/341156

A hybrid mortality prediction model of patients with cavitary pulmonary carcinomas

Saad, M.

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Abstract

To date, developing a reliable mortality prediction model remains challenging. Although clinical predictors like age, gender and laboratory results are of considerable predictive value, the accuracy often ranges only between 60-80%. In this study, we proposed prediction models built on the basis of clinical covariates with adjustment for additional variables that was radiographically induced. The proposed method exhibited a high degree of prediction accuracy of between 83-92%, as well as overall improvement of between 6-20% in all other metrics, such as ROC Area, False Positive Rates, Recall and Root Mean Square Error. We provide a proof of concept that there is an added value for incorporating the additional variables while predicting 24-month mortality in pulmonary carcinomas patients with cavitary lesions. It is hoped that the findings will be clinically useful to the medical community.

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Saad, M.. 2018-06-11. A hybrid mortality prediction model of patients with cavitary pulmonary carcinomas. https://doi.org/10.1101/341156

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