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Validation of the proposed model using the Framingham Heart dataset.

Figshare2025-10-07 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Validation_of_the_proposed_model_using_the_Framingham_Heart_dataset_/30298618 数据链接链接失效反馈

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Validation of the proposed model using the Framingham Heart dataset.

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创建时间：

2025-10-07

牛结核病

流行病学模型

A spreadsheet file with outputs from a recent run of the anonymised model with observed numbers of OTFW breakdowns in 2016 as displayed in Fig. 4. (ODS 1143 kb)

DataCite Commons2020-08-28 更新130

karvonen1_table

寄生虫传播模型

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Karvonen1: Results of the varying parasite density experiment including the AICc and deltaAIC of each of the transmission functions.

DataONE2017-11-08 更新30

Data_Sheet_2_Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm.xlsx

血管疾病风险预测

心电图分析

BackgroundThe identification of latent atrial fibrillation (AF) in patients with ischemic stroke (IS) attributed to noncardioembolic etiology may have therapeutic implications. An artificial intellige

NIAID Data Ecosystem20

Results of the multivariate logistic regression model of CVD.

血管疾病风险预测

医学统计建模

Results of the multivariate logistic regression model of CVD.

Figshare2024-04-16 更新50

IDI and NRI for the prediction of ACS events by adding either ACSP75 or ACSCP scores to a basal model based on Framingham 10-year cardiovascular disease risk prediction scores (FCVRS).

血管疾病风险预测

临床预测模型

IDI and NRI for the prediction of ACS events by adding either ACSP75 or ACSCP scores to a basal model based on Framingham 10-year cardiovascular disease risk prediction scores (FCVRS).

NIAID Data Ecosystem20

Validation of the proposed model using the Framingham Heart dataset.

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