数据链接：
官方服务：
资源简介：
Angiographic features used in the ML models.
应用场景：
创建时间：
2018-11-13
相关数据集
Table_4_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX
ObjectivesPost-stroke depression (PSD) is a common and serious psychiatric complication which hinders functional recovery and social participation of stroke patients. Stroke is characterized by dynami
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Univariable and multivariable regression model of baseline predictors on ΔTBRmax in the descending aorta.
Univariable and multivariable regression model of baseline predictors on ΔTBRmax in the descending aorta.
Figshare2025-12-29 更新40
T-cell receptor repertoire sequencing associated with colorectal cancer
T-cell receptor (TCR) repertoires provide insights into tumor immunology, yet their variations across digestive system cancers are not well understood. This study characterizes TCR differences between
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Table_1_Assessment of fractional flow reserve in intermediate coronary stenosis using optical coherence tomography-based machine learning.DOCX
ObjectivesThis study aimed to evaluate and compare the diagnostic accuracy of machine learning (ML)- fractional flow reserve (FFR) based on optical coherence tomography (OCT) with wire-based FFR irres
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Table_1_Machine Learning Algorithms for the Prediction of Central Lymph Node Metastasis in Patients With Papillary Thyroid Cancer.docx
BackgroundCentral lymph node metastasis (CLNM) occurs frequently in patients with papillary thyroid cancer (PTC), but performing prophylactic central lymph node dissection is still controversial. Ther
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