Analyzing factors influencing hospitalization costs for five common cancers in China using neural network models.
Journal:
Journal of medical economics
PMID:
40241623
Abstract
BACKGROUND: Malignant tumors are a major global health crisis, causing 25% of deaths in China, with lung, liver, thyroid, breast, and colon cancers being the most common. Understanding the factors influencing hospitalization costs for these cancers is crucial for public health and economics. This study aimed to identify key cost factors and develop a neural network model for predicting hospitalization costs, thereby providing tools to ease the financial burden on patients and healthcare systems.