Model Analysis for Predicting Prostate Cancer Patient’s Survival: A SEER Case Study

Polash, Md. Shohidul Islam; Hossen, Shazzad; Haque, Aminul

doi:10.1007/978-981-19-9483-8_24

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-981-19-9483-8_24

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Model Analysis for Predicting Prostate Cancer Patient’s Survival: A SEER Case Study

Md. Shohidul Islam Polash

Shazzad Hossen

Aminul Haque

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2024

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Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms

Alhashmi,

Polash,

Haque

et al. 2024

IEEE Access

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The medical community strives continually to improve the quality of care patients receive. Predictions of prognosis are essential for doctors and patients to choose a course of treatment. Recent years have witnessed the development of numerous new cancer survival prediction models. Most attempts to predict the prognosis of people with malignant growth rely on classification techniques. We could experiment with significantly different results using only a subset of SEER (Surveillance, Epidemiology, and End Results) data. These models were created using machine learning techniques by selecting univariate features and calculating correlations. We illustrated the variation in results and discrepancy of impurity that can result from varying data quantities and critical factors. Seventeen crucial factors were identified, and a group of classification algorithms were trained to evaluate the effectiveness of an estimation technique. In the display mode, the accuracy of these computations ranges from 97% to 99% Ȧlong with accuracy, the models are further evaluated regarding the F1 score, precision, recall, and the AUC score. Compared to earlier studies, a more accurate model has been developed, and, to the best of our knowledge, our prediction model is superior to the models studied in the previous works.

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Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms

Alhashmi,

Polash,

Haque

et al. 2024

IEEE Access

Self Cite

View full text Add to dashboard Cite

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Model Analysis for Predicting Prostate Cancer Patient’s Survival: A SEER Case Study

Cited by 1 publication

References 11 publications

Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms

Survival Analysis of Thyroid Cancer Patients Using Machine Learning Algorithms

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