遇见数据集

Liver Cancer Risk Prediction

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Zenodo2026-03-14 更新2026-05-26 收录
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The dataset contains 465,605 visit-level records corresponding to 15,500 individuals monitored across 12 distributed healthcare nodes between January 2021 and December 2025. Each record integrates heterogeneous clinical, behavioral, physiological, imaging-derived, and temporal variables reflecting comprehensive liver-health status. The dataset is organized into multiple feature groups, including demographic attributes, lifestyle indicators, comorbidity profiles, liver function biomarkers, tumor-associated biomarkers, chronic liver disease markers, wearable physiological measurements, imaging-derived descriptors, and temporal progression indicators. This multimodal structure enables the development and evaluation of advanced machine-learning, deep-learning, and federated-learning models for predictive analytics in smart healthcare environments. Two primary prediction targets are provided: Liver_Cancer_Status — binary classification indicating the presence or absence of hepatocellular carcinoma Time_to_HCC_Onset_Months — continuous regression variable representing progression time The dataset contains 465,605 visit-level records corresponding to 15,500 individuals monitored across 12 distributed healthcare nodes between January 2021 and December 2025. Each record integrates heterogeneous clinical, behavioral, physiological, imaging-derived, and temporal variables reflecting comprehensive liver-health status. The dataset is organized into multiple feature groups, including demographic attributes, lifestyle indicators, comorbidity profiles, liver function biomarkers, tumor-associated biomarkers, chronic liver disease markers, wearable physiological measurements, imaging-derived descriptors, and temporal progression indicators. This multimodal structure enables the development and evaluation of advanced machine-learning, deep-learning, and federated-learning models for predictive analytics in smart healthcare environments. Two primary prediction targets are provided: Liver_Cancer_Status — binary classification indicating the presence or absence of hepatocellular carcinoma Time_to_HCC_Onset_Months — continuous regression variable representing progression time

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Zenodo
创建时间:
2026-03-14
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