Exploring the efficacy of artificial neural networks in predicting lung cancer recurrence: a retrospective study based on patient records.

ABSTRACT:

Background

Lung cancer remains a significant public health concern, accounting for a considerable number of cancer-related deaths worldwide. Neural networks have emerged as a promising tool that can aid in the diagnosis and treatment of various cancers. Consequently, there has been a growing interest in exploring the potential of artificial intelligence (AI) methods in medicine. The present study aimed to evaluate the effectiveness of a neural network in predicting lung cancer recurrence.

Methods

The study employed retrospective data from 2,296 medical records of patients diagnosed with lung cancer and admitted to the Warmińsko-Mazurskie Center for Lung Diseases in Olsztyn, Poland. The statistical software STATISTICA 7.1, equipped with the Neural Networks module (StatSoft In

SUBMITTER: Lorenc A 

PROVIDER: S-EPMC10654430 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature