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Public Health Genomics and Precision Health Knowledge Base (v9.0)
PHGKB
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: May 16, 2024
. (Total: 63877 Documents since 2012)
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A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms.
Utkarsh Gupta et al. Heliyon 2024 10(5) e26787
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COVID-19 outbreaks surveillance through text mining applied to electronic health records.
Hermano Alexandre Lima Rocha et al. BMC Infect Dis 2024 24(1) 359
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Systematic analysis of off-label and off-guideline cancer therapy usage in a real-world cohort of 165,912 US patients.
Ruishan Liu et al. Cell Rep Med 2024 101444
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Advancing Data Science Among the Federal Public Health Workforce: The Data Science Upskilling Program, Centers for Disease Control and Prevention.
Mary Catherine P Bertulfo et al. J Public Health Manag Pract 2024 30(2) E41-E46
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Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach.
Wenyu Song et al. J Am Geriatr Soc 2024
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The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research.
Julia A Heneghan et al. Pediatr Crit Care Med 2023
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The Monitoring with Advanced Sensors, Transmission and E-Resuscitation in Traumatic Brain Injury (MASTER-TBI) collaborative: bringing data science to the ICU bedside.
Robert McNamara et al. Crit Care Resusc 2023 24(1) 39-42
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The promise of data science for health research in Africa.
Clement A Adebamowo et al. Nat Commun 2023 14(1) 6084
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The Role of Data Science in Closing the Implementation Gap.
Andrew J King et al. Crit Care Clin 2023 39(4) 701-716
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Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care.
Puneet Seth et al. JMIR Med Educ 2023 9e46344
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Informatics and data science approaches address significant public health problems.
Suzanne Bakken et al. J Am Med Inform Assoc 2023 30(6) 1009-1010
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Research utility and limitations of textual data in the National Violent Death Reporting System: a scoping review and recommendations.
Linh N Dang et al. Inj Epidemiol 2023 10(1) 23
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Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches.
Vida Abedi et al. J Clin Med 2023 12(7)
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Unassisted Clinicians Versus Deep Learning-Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis.
Peng Xue et al. Journal of medical Internet research 2023 25e43832
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High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set.
Jennifer Ziegler et al. PLOS digital health 2023 1(10) e0000124
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Charting a Course for Smartphones and Wearables to Transform Population Health Research.
William G Dixon et al. Journal of medical Internet research 2023 25e42449
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Machine learning in the coagulation and hemostasis arena: an overview and evaluation of methods, review of literature, and future directions.
Hooman H Rashidi et al. Journal of thrombosis and haemostasis : JTH 2023
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Leveraging Clinical Informatics and Data Science to Improve Care and Facilitate Research in Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conference.
Sanchez-Pinto L Nelson et al. Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 2023 24(Supplement 1 2S) S1-S11
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Reproducibility and Scientific Integrity of Big Data Research in Urban Public Health and Digital Epidemiology: A Call to Action.
Quiroga Gutierrez Ana Cecilia et al. International journal of environmental research and public health 2023 20(2)
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Effect of a Machine Learning Recommender System and Viral Peer Marketing Intervention on Smoking Cessation: A Randomized Clinical Trial.
Faro Jamie M et al. JAMA network open 2023 6(1) e2250665
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Technology Platforms and Approaches for Building and Evaluating Machine Learning Methods in Healthcare.
Mooney Sean D et al. The journal of applied laboratory medicine 2023 8(1) 194-202
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Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning.
Koçak Burak et al. Balkan medical journal 2022
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The Deep Dementia Phenotyping (DEMON) Network: A global platform for innovation using data science and artificial intelligence.
Ranson Janice M et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2022 18 Suppl 2e067308
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From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine.
Vijlbrief Daniel et al. Pediatric research 2022
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Beyond the Digital Competencies of Medical Students: Concerns over Integrating Data Science Basics into the Medical Curriculum.
Lungeanu Diana et al. International journal of environmental research and public health 2022 19(23)
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Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series.
Hu Liangyuan et al. International journal of environmental research and public health 2022 19(23)
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Transforming Health Data to Actionable Information: Recent Progress and Future Opportunities in Health Information Exchange.
Sarkar Indra Neil et al. Yearbook of medical informatics 2022 31(1) 203-214
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Data science and health economics in precision public health
MA Talias et al, Frontiers in Public Health, December, 2022
Informatics and data science perspective on Future of Nursing 2020-2030: Charting a pathway to health equity.
Bakken Suzanne et al. Nursing outlook 2022 70(6S1) S77-S87
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Real-world data mining meets clinical practice: Research challenges and perspective.
Mandreoli Federica et al. Frontiers in big data 2022 51021621
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 16, 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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