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hypertrophic cardiomyopathy ∩ heart failure
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NIAID Data Ecosystem
2026-03-13 收录
下载链接:
https://www.ndexbio.org/viewer/networks/55c60ec9-93bc-11eb-9e72-0ac135e8bacf
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资源简介:
Shared molecular mechanisms
应用场景:
创建时间:
2021-10-11
相关数据集
Machine Learning for Predicting Heart Failure Progression in Hypertrophic Cardiomyopathy
A machine learning model for accurate stratification of HCM patients according to HF risk. Python Ver. 3.7 + Sklearn Ver. 0.23.2
Harvard Dataverse
2020-12-22 更新
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Predictors of death from congestive heart failure in hypertrophic cardiomyopathy
Predictors of death from congestive heart failure in hypertrophic cardiomyopathy
Global Health Data Exchange ()
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Proteomic Characterisation of Heart Failure Reveals Unique Molecular Phenotype for Hypertrophic Cardiomyopathy
Hypertrophic cardiomyopathy (HCM) is a disease, which is difficult to diagnose at an early stage and for which there is a pressing need for more effective treatment options. The purpose of this study
NIAID Data Ecosystem
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Machine Learning for Predicting Heart Failure Progression in Hypertrophic Cardiomyopathy
A machine learning model for accurate stratification of HCM patients according to HF risk. Python Ver. 3.7 + Sklearn Ver. 0.23.2
DataONE
2020-12-22 更新
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Machine Learning for Predicting Heart Failure Progression in Hypertrophic Cardiomyopathy
A machine learning model for accurate stratification of HCM patients according to HF risk. Python Ver. 3.7 + Sklearn Ver. 0.23.2
NIAID Data Ecosystem
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