five

MOESM1 of Data mining polycystic ovary morphology in electronic medical record ultrasound reports

收藏
DataCite Commons2020-08-26 更新2024-07-27 收录
下载链接:
https://springernature.figshare.com/articles/MOESM1_of_Data_mining_polycystic_ovary_morphology_in_electronic_medical_record_ultrasound_reports/11302019/1
下载链接
链接失效反馈
官方服务:
资源简介:
Additional file 1: Table S1. Confounder - These are phrases that indicate the presence of a volume confounder (words that indicate large volume is due to something other than PCOS). Table S2. PCOS words - These are phrases that indicate presence of polycystic morphology. Figure S3. Pseudocode - This is the pseudocode for the rules-based classifier routine. It implements the Rotterdam Consensus Criteria. Figure S4. Importance plot - The variables (word stems) determined to be most important for classification using the gradient boosted tree classifier. The top two variables, eval_right and eval_left are variables about the left and right ovarian volume extracted from the text.
提供机构:
figshare
创建时间:
2019-12-02
二维码
社区交流群
二维码
科研交流群
商业服务