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Regression Analysis Results for Physicians’ Subjective Assessment (mortality risk).

Figshare2016-09-16 更新2026-04-29 收录

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https://figshare.com/articles/dataset/Regression_Analysis_Results_for_Physicians_Subjective_Assessment_mortality_risk_/3835278 数据链接链接失效反馈

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Regression Analysis Results for Physicians’ Subjective Assessment (mortality risk).

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创建时间：

2016-09-16

游泳安全

风险评估

Français L'enquête | Elle portait sur le risque de baignade à la plage sur le littoral Atlantique. Elle a été administrée en face-à-face sur la plage de la Lette Blanche à Vielle-Saint-Girons (Landes)

DataCite Commons2025-05-12 更新90

Table 1_Machine learning-based prediction of intensive care unit admission in COVID-19 patients presenting with mild respiratory failure.docx

COVID-19重症监护预测

临床预测模型

IntroductionPrevious studies applying machine learning to predict severe respiratory failure in COVID-19 patients have shown inconsistent results due to variations in study populations and predictor v

NIAID Data Ecosystem00

Utilization of lactate trajectory models for predicting acute kidney injury and mortality in patients with hyperlactatemia: insights across three independent cohorts

临床预测模型

急性肾损伤风险评估

This study aims to investigate the association between lactate trajectories and the risk of acute kidney injury (AKI) and hospital mortality in patients with hyperlactatemia. We conducted a multicente

NIAID Data Ecosystem00

Chi-square automatic interaction detector risk groups.

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卡方决策树

Chi-square automatic interaction detector risk groups.

Figshare2021-05-06 更新10

Data_Sheet_3_Machine learning-based prediction of symptomatic intracerebral hemorrhage after intravenous thrombolysis for stroke: a large multicenter study.PDF

卒中后症状性颅内出血预测

临床预测模型

BackgroundThis study aimed to compare the performance of different machine learning models in predicting symptomatic intracranial hemorrhage (sICH) after thrombolysis treatment for ischemic stroke. Me

NIAID Data Ecosystem00

Regression Analysis Results for Physicians’ Subjective Assessment (mortality risk).

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