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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Public Health Genomics Branch
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Precision Health Database
Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 18, 2024
. (Total: 63623 Documents since 2012)
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Records 1 - 22 (of 22 Records)
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Construction of the XGBoost model for early lung cancer prediction based on metabolic indices.
Xiuliang Guan et al. BMC Med Inform Decis Mak 2023 23(1) 107
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Clinical lipidomics in the era of the big data.
Kvasnicka Aleš et al. Clinical chemistry and laboratory medicine 2023
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Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.
Machado-Fragua Marcos D et al. BMC medicine 2022 20(1) 334
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Interpretable machine learning-derived nomogram model for early detection of diabetic retinopathy in type 2 diabetes mellitus: a widely targeted metabolomics study.
Li Jushuang et al. Nutrition & diabetes 2022 12(1) 36
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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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Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication.
Joyce Jeremiah B et al. Translational psychiatry 2021 11(1) 513
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Application of Artificial Intelligence Modeling Technology Based on Multi-Omics in Noninvasive Diagnosis of Inflammatory Bowel Disease.
Huang Qiongrong et al. Journal of inflammation research 2021 141933-1943
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Differential Metabolic Network Construction for Personalized Medicine: Study of Type 2 Diabetes Mellitus Patients Response to Gliclazide-Modified-Release-Treated.
Huang Xin et al. Journal of biomedical informatics 2021 103796
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Machine Learning Approaches in Parkinson's Disease.
Landolfi Annamaria et al. Current medicinal chemistry 2021 Jan
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Personalized nutrition and healthy aging.
Ordovas Jose M et al. Nutrition reviews 2020 Dec 78(Supplement_3) 58-65
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Personalized nutrition approach in pediatrics: a narrative review.
Milani Gregorio P et al. Pediatric research 2020 Nov
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Deep metabolome: Applications of deep learning in metabolomics.
Pomyen Yotsawat et al. Computational and structural biotechnology journal 2020 182818-2825
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Artificial Intelligence and Hypertension: Recent Advances and Future Outlook.
Chaikijurajai Thanat et al. American journal of hypertension 2020 Jul
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Towards early monitoring of chemotherapy-induced drug resistance based on single cell metabolomics: Combining single-probe mass spectrometry with machine learning.
Liu Renmeng et al. Analytica chimica acta 2019 Dec 109242-48
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Translating 'big data': better understanding of host-pathogen interactions to control bacterial foodborne pathogens in poultry.
Deblais Loïc et al. Animal health research reviews 2020 Jan 1-21
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Advancing neuro-oncology of glial tumors from big data and multidisciplinary studies.
Lin Chin-Hsing Annie et al. Journal of neuro-oncology 2020 Jan 146(1) 1-7
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A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.
Mendez Kevin M et al. Metabolomics : Official journal of the Metabolomic Society 2019 Nov 15(12) 150
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Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning (AutoML).
Orlenko Alena et al. Bioinformatics (Oxford, England) 2019 Nov
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The Search for Clinically Useful Biomarkers of Complex Disease: A Data Analysis Perspective.
Considine Elizabeth C et al. Metabolites 2019 Jul 9(7)
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Biobank Establishment and Sample Management in the Tohoku Medical Megabank Project.
Minegishi Naoko et al. The Tohoku journal of experimental medicine 2019 248(1) 45-55
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The Impact of Big Data Research on Practice, Policy, and Cancer Care.
Chambers David A et al. American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting 2019 Jan 39e167-e175
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Biomolecular Databases and Subnetwork Identification Approaches of Interest to Big Data Community: An Expert Review.
Al-Harazi Olfat et al. Omics : a journal of integrative biology 2019 Mar 23(3) 138-151
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 18, 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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