Literature DB >> 34364190

Predicting chronic pain in postoperative breast cancer patients with multiple machine learning and deep learning models.

Ying Wang1, Yu Zhu2, Qiong Xue1, Muhuo Ji1, Jianhua Tong1, Jian-Jun Yang3, Cheng-Mao Zhou4.   

Abstract

Entities:  

Keywords:  CNNRNN; Chronic postsurgical pain; Deep learning;XGB algorithm; Machine learning

Mesh：

Year:  2021        PMID： 34364190     DOI： 10.1016/j.jclinane.2021.110423

Source DB:  PubMed          Journal:  J Clin Anesth        ISSN： 0952-8180            Impact factor:   9.452


× No keyword cloud information.
  2 in total

1.  Prediction of the Compressive Strength for Cement-Based Materials with Metakaolin Based on the Hybrid Machine Learning Method.

Authors:  Jiandong Huang; Mengmeng Zhou; Hongwei Yuan; Mohanad Muayad Sabri Sabri; Xiang Li
Journal:  Materials (Basel)       Date:  2022-05-13       Impact factor: 3.748

2.  Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms.

Authors:  Cheng-Mao Zhou; Ying Wang; Qiong Xue; Jian-Jun Yang; Yu Zhu
Journal:  Front Public Health       Date:  2022-08-10
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.