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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)
Last data update: May 21, 2024
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Radiomics-based prediction of nonalcoholic fatty liver disease following pancreatoduodenectomy.
Takehiro Fujii et al. Surg Today 2024
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Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study.
Yuhan Deng et al. JMIR Public Health Surveill 2023 9e47095
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Hepatic Involvement across the Metabolic Syndrome Spectrum: Non-Invasive Assessment and Risk Prediction Using Machine Learning.
Adelaida Solomon et al. J Clin Med 2023 12(17)
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Metabolic-associated fatty liver disease and liver fibrosis scores as COVID-19 outcome predictors: a machine-learning application.
Mirko Zoncapè et al. Intern Emerg Med 2023
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Development and validation of machine learning models for nonalcoholic fatty liver disease.
Hong-Ye Peng et al. Hepatobiliary & pancreatic diseases international : HBPD INT 2023
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Big Data Analytics to Reduce Preventable Hospitalizations-Using Real-World Data to Predict Ambulatory Care-Sensitive Conditions.
Timo Schulte et al. International journal of environmental research and public health 2023 20(6)
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Nonalcoholic fatty liver disease (NAFLD) detection and deep learning in a Chinese community-based population.
Yang Yang et al. European radiology 2023
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Assessment of Helicobacter pylori infection by deep learning based on endoscopic videos in real time.
Yan-Dong Li et al. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 2023
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Ultrasound-Based Machine Learning Approach for Detection of Nonalcoholic Fatty Liver Disease.
Aylin Tahmasebi et al. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine 2023
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Lessons on Drug Development: A Literature Review of Challenges Faced in Nonalcoholic Fatty Liver Disease (NAFLD) Clinical Trials.
Chen Joel Yeh Siang et al. International journal of molecular sciences 2023 24(1)
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Two-dimensional Convolutional Neural Network Using Quantitative US for Noninvasive Assessment of Hepatic Steatosis in NAFLD.
Jeon Sun Kyung et al. Radiology 2023 221510
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The potential role of machine learning in modelling advanced chronic liver disease.
D'Amico Gennaro et al. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 2022
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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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Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality: unsupervised machine learning analysis of NHANES III.
Carrillo-Larco Rodrigo M et al. BMJ open 2022 12(11) e067203
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Evaluation of machine learning algorithms for predicting direct-acting antiviral treatment failure among patients with chronic hepatitis C infection.
Park Haesuk et al. Scientific reports 2022 12(1) 18094
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Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction.
Straw Isabel et al. BMJ health & care informatics 2022 29(1)
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Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study.
Sarvestany Soren Sabet et al. The Lancet. Digital health 2022 4(3) e188-e199
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Predictive Modeling of Survival and Toxicity in Patients With Hepatocellular Carcinoma After Radiotherapy.
Chamseddine Ibrahim et al. JCO clinical cancer informatics 2022 6e2100169
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Health Technology Adoption in Liver Disease: Innovative Use of Data Science Solutions for Early Disease Detection.
Bennett Lucy et al. Frontiers in digital health 2022 4737729
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Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.
Kumar Yogesh et al. Journal of ambient intelligence and humanized computing 2022 1-28
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Development of the AI-Cirrhosis-ECG (ACE) Score: An electrocardiogram-based deep learning model in cirrhosis.
Ahn Joseph C et al. The American journal of gastroenterology 2022
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Stratifying Individuals into Non-Alcoholic Fatty Liver Disease Risk Levels using Time Series Machine Learning Models.
Ben-Assuli Ofir et al. Journal of biomedical informatics 2022 103986
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Machine Learning Approach to Classify Cardiovascular Disease in Patients With Nonalcoholic Fatty Liver Disease in the UK Biobank Cohort.
Sharma Divya et al. Journal of the American Heart Association 2021 e022576
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Development and multicenter validation of FIB-6; a novel, machine-learning, simple bedside score to rule out liver cirrhosis and compensated advanced chronic liver disease in CHC patients.
Shiha G et al. Hepatology research : the official journal of the Japan Society of Hepatology 2021
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The altered serum lipidome and its diagnostic potential for Non-Alcoholic Fatty Liver (NAFL)-associated hepatocellular carcinoma.
Lewinska Monika et al. EBioMedicine 2021 73103661
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Web-based and machine learning approaches for identification of patient-reported outcomes in inflammatory bowel disease.
Ricci Laetitia et al. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 2021
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Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis.
Zou Winnie Y et al. Hepatology communications 2021
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Machine learning for selecting patients with Crohn's disease for abdominopelvic computed tomography in the emergency department.
Konikoff Tom et al. Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver 2021
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State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma.
Castaldo Anna et al. Diagnostics (Basel, Switzerland) 2021 11(7)
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Liver disease classification from ultrasound using multi-scale CNN.
Che Hui et al. International journal of computer assisted radiology and surgery 2021
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 21, 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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