An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm
Non-small-cell lung cancer (NSCLC) patients often develop bone metastases (BM), and the overall survival for these patients is usually perishing. However, a model with high accuracy for predicting the survival of NSCLC with BM is still lacking. Here, we aimed to establish a model based on artificial...
Main Authors: | Zhangheng Huang, Chuan Hu, Changxing Chi, Zhe Jiang, Yuexin Tong, Chengliang Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2020-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2020/3462363 |
Similar Items
-
Sites of Synchronous Distant Metastases, Prognosis, and Nomogram for Small Cell Lung Cancer Patients with Bone Metastasis: A Large Cohort Retrospective Study
by: Zhiyi Fan, et al.
Published: (2021-01-01) -
Surgery for primary tumor benefits survival for breast cancer patients with bone metastases: a large cohort retrospective study
by: Zhangheng Huang, et al.
Published: (2021-03-01) -
The effect of bone metastases on survival in lung cancer
by: Suphi Aydın, et al.
Published: (2020-11-01) -
Construction and Validation of a Convenient Clinical Nomogram to Predict the Risk of Brain Metastasis in Renal Cell Carcinoma Patients
by: Yuexin Tong, et al.
Published: (2020-01-01) -
Retraction Note: Percutaneous pedicle screw fixation combined with selective transforaminal endoscopic decompression for the treatment of thoracolumbar burst fracture
by: Zhangheng Huang, et al.
Published: (2020-12-01)