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Characteristics of infants included in model development and testing.

NIAID Data Ecosystem2026-03-14 收录

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https://figshare.com/articles/dataset/Characteristics_of_infants_included_in_model_development_and_testing_/21134019 数据链接链接失效反馈

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资源简介：

Characteristics of infants included in model development and testing.

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创建时间：

2022-09-16

急诊入院风险预测

机器学习临床建模

BackgroundEmergency admissions are a major source of healthcare spending. We aimed to derive, validate, and compare conventional and machine learning models for prediction of the first emergency admis

Figshare2018-11-20 更新40

Data_Sheet_1_Machine learning models in heart failure with mildly reduced ejection fraction patients.PDF

心力衰竭风险预测

机器学习临床建模

ObjectiveHeart failure with mildly reduced ejection fraction (HFmrEF) has been recently recognized as a unique phenotype of heart failure (HF) in current practical guideline. However, risk stratificat

NIAID Data Ecosystem30

Jimma University, Ethiopia, Foot Length Study

新生儿健康预测

妇幼健康

Identifying the newborn foot length that predicts prematurity, low birth weight, and neonatal mortality in Ethiopia.

DataCite Commons2020-09-22 更新20

Regression models predicting birth weights in offspring of female participants (n = 675).

新生儿健康预测

围产期流行病学

Values are β (SE). aBase model adjusts for mother’s age, first born, born early, born late, male baby, worked during pregnancy, prenatal care during pregnancy.

NIAID Data Ecosystem30

Performance of models by different algorithms.

器官疾病风险预测

机器学习临床建模

ObjectiveWith the global increase in obesity rates and lifestyle changes, metabolic dysfunction-associated steatotic liver disease (MASLD) has become a prevalent chronic liver disorder, affecting appr

Figshare2025-11-12 更新20

Characteristics of infants included in model development and testing.

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