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Model parameters and units for model predictions of prostate cancer.

Figshare2025-09-17 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/Model_parameters_and_units_for_model_predictions_of_prostate_cancer_/30152203 数据链接链接失效反馈

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资源简介：

Model parameters and units for model predictions of prostate cancer.

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创建时间：

2025-09-17

基因表达分析

前列腺癌预测

"Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression s

DataCite Commons2025-05-01 更新60

Multivariate model; PSA levels (ng/ml) the number of positive biopsy cores and PSA density (ng/ml) for predicting worse final pathological findings; Statistics: *Chi-Quadrat Pearson; **Fisher test.

前列腺癌预测

临床结果分析

Multivariate model; PSA levels (ng/ml) the number of positive biopsy cores and PSA density (ng/ml) for predicting worse final pathological findings; Statistics: *Chi-Quadrat Pearson; **Fisher test.

Figshare2015-12-03 更新40

Integrated predictive model for prostatic cancer using clinical, laboratory and ultrasound data

前列腺癌预测

数据分析

ABSTRACT Objective: to develop a predictive model to estimate the probability of prostate cancer prior to biopsy. Methods: from September 2009 to January 2014, 445 men underwent prostate biopsy in a r

DataCite Commons2022-06-02 更新30

Table_3_Machine learning model for the prediction of prostate cancer in patients with low prostate-specific antigen levels: A multicenter retrospective analysis.xlsx

前列腺癌预测

临床决策模型

ObjectiveThe aim of this study was to develop a predictive model to improve the accuracy of prostate cancer (PCa) detection in patients with prostate specific antigen (PSA) levels ≤20 ng/mL at the ini

NIAID Data Ecosystem50

Standard logistic analysis in prostate cancer.

前列腺癌预测

临床逻辑回归

Standard logistic analysis in prostate cancer.

Figshare2018-09-11 更新30