Table_1_Mortality Prediction in Cerebral Hemorrhage Patients Using Machine Learning Algorithms in Intensive Care Units.DOCX حسب Ximing Nie (10008344)

"…<p>Objectives: This study aims to investigate whether the machine learning algorithms could provide an optimal early mortality prediction method compared with other scoring systems for patients with cerebral hemorrhage in intensive care units in clinical practice.…"

Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX حسب Paul Grzesik (11136582)

"…Here we present the implementation of a machine learning pipeline into the DoE-based design of cell culture media to optimize T cell cultures in one experimental step (one-time optimization). …"

Data_Sheet_1_Risk factors of lymph node metastasis or lymphovascular invasion for superficial esophageal squamous cell carcinoma: A practical and effective predictive nomogram base... حسب Yali Tao (10772160)

Datasheet1_Implantable cardioverter defibrillator for primary prevention in patients with non-ischemic cardiomyopathy in the era of novel therapeutic agents- meta-analysis.docx حسب Yotam Kolben (15787781)

"…</p>Methods<p>We used a previous metanalysis algorithm and added an updated comprehensive literature search in PubMed for randomized control trials that examined the mortality benefit of ICD in NIDCM vs. optimal medical treatment. …"

DataSheet_1_Stronger wind, smaller tree: Testing tree growth plasticity through a modeling approach.docx حسب Haoyu Wang (429641)

"…Tree reaction to the wind is simulated based on the hypothesis that plants tend to fit in the environment best. …"

Overview of study assessments of the trial. حسب Tan Boon Toh (1348143)

"…The primary endpoint of the study is six-month progression-free survival. …"

Image 1_A real-world pharmacovigilance study of Sorafenib based on the FDA Adverse Event Reporting System.tif حسب Dongdong Zhang (644246)

"…The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate use of this drug.…"

Table 2_A real-world pharmacovigilance study of Sorafenib based on the FDA Adverse Event Reporting System.docx حسب Dongdong Zhang (644246)

"…The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate use of this drug.…"

Table 5_A real-world pharmacovigilance study of Sorafenib based on the FDA Adverse Event Reporting System.docx حسب Dongdong Zhang (644246)

"…The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate use of this drug.…"

Table 3_A real-world pharmacovigilance study of Sorafenib based on the FDA Adverse Event Reporting System.docx حسب Dongdong Zhang (644246)

"…The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate use of this drug.…"

Table 1_A real-world pharmacovigilance study of Sorafenib based on the FDA Adverse Event Reporting System.doc حسب Dongdong Zhang (644246)

"…The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate use of this drug.…"

Table 4_A real-world pharmacovigilance study of Sorafenib based on the FDA Adverse Event Reporting System.docx حسب Dongdong Zhang (644246)

"…The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate use of this drug.…"

Table 6_A real-world pharmacovigilance study of Sorafenib based on the FDA Adverse Event Reporting System.docx حسب Dongdong Zhang (644246)

"…The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate use of this drug.…"

Supplementary file 1_A study on a real-world data-based VTE risk prediction model for lymphoma patients.docx حسب Changli He (22424818)

"…</p>Results<p>Combining different imputation, sampling, and feature selection strategies yielded 27 datasets, which were trained across nine algorithms to generate 243 models. The optimal model—Simp-SMOTE_rf_GBM, constructed using random forest imputation, SMOTE oversampling, and gradient boosting machine—achieved the highest predictive performance (AUC = 0.954). …"

Supplementary Material for: The importance of early diagnosis and intervention in chronic kidney disease: Calls-to-action from nephrologists based mainly in Central/Eastern Europe حسب Covic A. (4148122)

Data_Sheet_1_Predicting total lung capacity from spirometry: a machine learning approach.docx حسب Luka Beverin (15668825)

The study flowchart. حسب Nguyen Tat Thanh (10296398)

"…At admission, LAR demonstrated superior discriminatory ability (AUC: 0.82; 95% CI: 0.76–0.87) compared to serum lactate (AUC: 0.72; 95% CI: 0.65–0.78) and LB ratio (AUC: 0.68; 95% CI: 0.62–0.74) (all p < 0.001). The Youden-index based optimal LAR cutoff was 1.25, whereas that for the LB ratio was 0.20. …"

Missing value chart of candidate variables. حسب Nguyen Tat Thanh (10296398)

"…At admission, LAR demonstrated superior discriminatory ability (AUC: 0.82; 95% CI: 0.76–0.87) compared to serum lactate (AUC: 0.72; 95% CI: 0.65–0.78) and LB ratio (AUC: 0.68; 95% CI: 0.62–0.74) (all p < 0.001). The Youden-index based optimal LAR cutoff was 1.25, whereas that for the LB ratio was 0.20. …"

Table_1_Predicting 24-hour intraocular pressure peaks and averages with machine learning.DOCX حسب Ranran Chen (3308463)

Table_2_Predicting 24-hour intraocular pressure peaks and averages with machine learning.DOCX حسب Ranran Chen (3308463)