This study introduces a novel nomogram, utilizing a wide range of biomarkers, to predict in-hospital mortality rates for ICU-admitted patients with Community-Acquired Pneumonia (CAP), offering improve

NIAID Data Ecosystem60

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 Ecosystem50

Supplementary file 1_Association between the C-reactive protein to albumin ratio and unplanned readmission in ulcerative colitis: insights from a cohort study.docx

溃疡性结肠炎预后

临床预测模型

ObjectiveThis study aimed to investigate the association between the C-reactive protein to albumin ratio (CAR) and unplanned readmissions in patients with ulcerative colitis (UC) and to evaluate its p

NIAID Data Ecosystem80

Data_Sheet_1_Performance of the IMPACT and Helsinki models for predicting 6-month outcomes in a cohort of patients with traumatic brain injury undergoing cranial surgery.docx

创伤性脑损伤预后预测

临床预测模型

Background and aimPrediction models for patients with traumatic brain injury (TBI) require generalizability and should apply to different settings. We aimed to validate the IMPACT and Helsinki prognos

NIAID Data Ecosystem50

Binary logistic regression analysis for CKD progression.

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