Prediction of total hospital expenses of patients undergoing breast cancer surgery in Shanghai, China by comparing three models.

ABSTRACT:

Background

Breast cancer imposes a considerable burden on both the health care system and society, and becomes increasingly severe among women in China. To reduce the economic burden of this disease is crucial for patients undergoing the breast cancer surgery, hospital managers, and medical insurance providers. However, few studies have evidenced the prediction of the total hospital expenses (THE) for breast cancer surgery. The aim of the study is to predict THE for breast cancer surgery and identify the main influencing factors.

Methods

Data were retrieved from the first page of medical records of 3699 patients undergoing breast cancer surgery in one tertiary hospital from 2017 to 2018. Multiple liner regression (MLR), artificial neural networks (ANNs), and classification a

SUBMITTER: Chen M 

PROVIDER: S-EPMC8667393 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature