An explainable machine learning framework for lung cancer hospital length of stay prediction
Abstract This work introduces a predictive Length of Stay (LOS) framework for lung cancer patients using machine learning (ML) models. The framework proposed to deal with imbalanced datasets for classification-based approaches using electronic healthcare records (EHR). We have utilized supervised ML...
| 主要な著者: | , , , , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Nature Portfolio
2022-01-01
|
| シリーズ: | Scientific Reports |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-021-04608-7 |