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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
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Last data update: May 09, 2024
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Records 1 - 28 (of 28 Records)
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A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.
Ji Won Han et al. Clin Cancer Res 2024
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Conventional and machine-learning based risk score for patients with early-stage hepatocellular carcinoma.
Chun-Ting Ho et al. Clin Mol Hepatol 2024
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Prognostic Factors for Mortality in Hepatocellular Carcinoma at Diagnosis: Development of a Predictive Model Using Artificial Intelligence.
Pablo Martínez-Blanco et al. Diagnostics (Basel) 2024 14(4)
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Development and validation of a REcurrent Liver cAncer Prediction ScorE (RELAPSE) following liver transplantation in patients with hepatocellular carcinoma: analysis of the us multicenter hcc transplant consortium.
Benjamin V Tran et al. Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society 2023
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Classification of metastatic hepatic carcinoma and hepatocellular carcinoma lesions using contrast-enhanced CT based on EI-CNNet.
Xuehu Wang et al. Medical physics 2023
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fetArtificial Intelligence in Liver Cancers: Decoding the Impact of Machine Learning Models in Clinical Diagnosis of Primary Liver Cancers and Liver Cancer Metastases.
Anita Bakrania et al. Pharmacological research 2023 106706
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Artificial intelligence models for the diagnosis and management of liver diseases.
Nishida Naoshi et al. Ultrasonography (Seoul, Korea) 2022
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Risk Association of Liver Cancer and Hepatitis B with Tree Ensemble and Lifestyle Features.
Koh Eunji et al. International journal of environmental research and public health 2022 19(22)
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DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.
Huang Haoyuan et al. Computer methods and programs in biomedicine 2022 227107201
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Development and Validation of Nomogram for Predicting Survival of Primary Liver Cancers Using Machine Learning.
Chen Rui et al. Frontiers in oncology 2022 12926359
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Machine Learning Approach to Facilitate Knowledge Synthesis at the Intersection of Liver Cancer, Epidemiology, and Health Disparities Research.
Hyams Travis C et al. JCO clinical cancer informatics 2022 6e2100129
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Machine learning-based survival rate prediction of Korean hepatocellular carcinoma patients using multi-center data.
Noh Byeonggwan et al. BMC gastroenterology 2022 22(1) 85
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Radiomics analysis of pretreatment MRI in predicting tumor response and outcome in hepatocellular carcinoma with transarterial chemoembolization: a two-center collaborative study.
Liu Qiu-Ping et al. Abdominal radiology (New York) 2021
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Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging.
Gross Moritz et al. PloS one 2021 16(12) e0260630
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StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors.
Malik Aijaz Ahmad et al. Journal of computer-aided molecular design 2021
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Surveillance Strategy for Barcelona Clinic Liver Cancer B Hepatocellular Carcinoma Achieving Complete Response: An Individualized Risk-Based Machine Learning Study.
Chen Qi-Feng et al. Frontiers in bioengineering and biotechnology 2021 9667641
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Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma.
Fu Sirui et al. Journal of hepatocellular carcinoma 2021 81065-1076
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Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data.
Menegotto Alan Baronio et al. Health information science and systems 2021 9(1) 20
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Comparison of Prediction Models for Acute Kidney Injury Among Patients with Hepatobiliary Malignancies Based on XGBoost and LASSO-Logistic Algorithms.
Zhang Yunlu et al. International journal of general medicine 2021 141325-1335
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Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning.
Chen Mingyu et al. NPJ precision oncology 2020 Jun 4(1) 14
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A Novel Prognostic Scoring System of Intrahepatic Cholangiocarcinoma With Machine Learning Basing on Real-World Data.
Li Zhizhen et al. Frontiers in oncology 2020 10576901
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Prognostic role of artificial intelligence among patients with hepatocellular cancer: A systematic review.
Lai Quirino et al. World journal of gastroenterology 2020 Nov 26(42) 6679-6688
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PAIP 2019: Liver cancer segmentation challenge.
Kim Yoo Jung et al. Medical image analysis 2020 Oct 67101854
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Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning.
Chen Mingyu et al. NPJ precision oncology 2020 414
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Machine learning-based development and validation of a scoring system for progression-free survival in liver cancer.
Liu Xiaoli et al. Hepatology international 2020 Jun
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Using a single abdominal computed tomography image to differentiate five contrast-enhancement phases: A machine-learning algorithm for radiomics-based precision medicine.
Dercle Laurent et al. European journal of radiology 2020 Jan 125108850
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Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.
Ahn Sang Hee et al. Radiation oncology (London, England) 2019 Nov 14(1) 213
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Challenges of big data integration in the life sciences.
Fillinger Sven et al. Analytical and bioanalytical chemistry 2019 Aug
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 09, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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