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Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population

Global Health Data Exchange ()2024-06-26 收录

医疗预测模型

盆腔器官脱垂

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资源简介：

Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population

应用场景：

盆腔器官脱垂

单细胞转录组学

An appropriate model is urgently required for pathological mechanism investigation of pelvic organ prolapse and the development of new therapeutic strategies. It is generally thought that damage to th

NIAID Data Ecosystem160

Risk factors for the recurrence of pelvic organ prolapse: a meta-analysis

盆腔器官脱垂

妇科手术预后

Female pelvic organ prolapse (POP) is a common condition, which has a high recurrence rate after reconstructive surgery, and the risk factors for POP recurrence are unclear. The aim of this study was

NIAID Data Ecosystem40

Prediction models using multiple logistic regression and artificial neural network.

医疗预测模型

Note: AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negative predictive value. Data from a total of 2092 patients had been used to MLR analysis. Data from a total

NIAID Data Ecosystem30

Systematic review and comparison of machine learning and conventional statistical models for predicting cardiovascular events in dialysis patients

透析患者心血管风险

医疗预测模型

This systematic review aimed to evaluate the performance of machine learning (ML) models and conventional statistical models (CSMs) for predicting cardiovascular events in dialysis patients. Following

DataCite Commons2026-05-21 更新40

The overall performance of the four models on all variables in the test set with Receiver Operator Characteristics Area Under the Curve (ROC_AUC) values as the metric.

医疗预测模型

特异性分析

The general model was trained on a general surgery patient cohort, the transfer learning model was trained on the general surgery patient cohort and transferred to a PD-specific patient cohort, the di

Figshare2024-12-30 更新30

Prediction model and prognostic index to estimate clinically relevant pelvic organ prolapse in a general female population

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