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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|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Last data update: Apr 25, 2024
. (Total: 63675 Documents since 2012)
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Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.
Jiayi Zhou et al. Lancet Reg Health West Pac 2024 46101060
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Unlocking new potential of clinical diagnosis with artificial intelligence: Finding new patterns of clinical and lab data.
Pradeep Kumar Dabla et al. World J Diabetes 2024 15(3) 308-310
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The Effectiveness of Artificial Intelligence in Assisting Mothers with Assessing Infant Stool Consistency in a Breastfeeding Cohort Study in China.
Jieshu Wu et al. Nutrients 2024 16(6)
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Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning.
Youli Jiang et al. Patient Educ Couns 2024 123108228
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The Science of Precision Prevention: Research Opportunities and Clinical Applications to Reduce Cardiovascular Health Disparities.
Thomas A Pearson et al. JACC Adv 2024 3(1)
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Patients Perceptions of Artificial Intelligence in a Deep Learning-Assisted Diabetic Retinopathy Screening Event: A Real-World Assessment.
Fernando Korn Malerbi et al. J Diabetes Sci Technol 2024 19322968241234378
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Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study.
Daria Shevtsova et al. JMIR Hum Factors 2024 11e47031
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Predictors of micronutrient deficiency among children aged 6-23 months in Ethiopia: a machine learning approach.
Leykun Getaneh Gebeye et al. Front Nutr 2024 101277048
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Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial.
Risa M Wolf et al. Nat Commun 2024 15(1) 421
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All aboard the ChatGPT steamroller: Top 10 ways to make artificial intelligence work for healthcare professionals.
Lemuel R Non et al. Antimicrob Steward Healthc Epidemiol 2023 3(1) e243
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Precision Recruitment and Engagement of Individuals at Risk for Diabetes and Hypertension in Clinical Trials (PREDHICT): A Randomized Trial for an E-Persuasive Mobile Application to Inform Decision Making about Clinical Trials.
Azizi Seixas et al. Int J Environ Res Public Health 2023 20(23)
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Analysis of computational intelligence approaches for predicting disease severity in humans: Challenges and research guidelines.
Geetha Narasimhan et al. J Educ Health Promot 2023 12334
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Predicting mild cognitive impairment among Chinese older adults: a longitudinal study based on long short-term memory networks and machine learning.
Yucheng Huang et al. Front Aging Neurosci 2023 151283243
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Technical/Algorithm, Stakeholder, and Society (TASS) Barriers to the Application of Artificial Intelligence in Medicine: A Systematic Review.
Linda T Li et al. J Biomed Inform 2023 104531
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Predicting Dental Caries Outcomes in Young Adults Using Machine Learning Approach.
Chukwuebuka Ogwo et al. Res Sq 2023
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Implementing a Novel Machine Learning System for Nutrition Education in Diabetes Mellitus Nutritional Clinic: Predicting 1-Year Blood Glucose Control.
Mei-Yuan Liu et al. Bioengineering (Basel) 2023 10(10)
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Classification of patients with chronic disease by activation level using machine learning methods.
Onur Demiray et al. Health Care Manag Sci 2023
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An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study.
Kaylen J Pfisterer et al. JMIR Cancer 2023 9e44332
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Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models.
Chenai Mlandu et al. BMC Med Inform Decis Mak 2023 23(1) 191
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Toward an autism-friendly environment based on mobile apps user feedback analysis using deep learning and machine learning models.
Mariem Haoues et al. PeerJ Comput Sci 2023 9e1442
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Unraveling the Ethical Enigma: Artificial Intelligence in Healthcare.
Madhan Jeyaraman et al. Cureus 2023 15(8) e43262
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Smart Smile: Revolutionizing Dentistry With Artificial Intelligence.
Ashwini Dhopte et al. Cureus 2023 15(6) e41227
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Development of pediatric acute care education (PACE): An adaptive electronic learning (e-learning) environment for healthcare providers in Tanzania.
Peter Andrew Meaney et al. Digit Health 2023 920552076231180471
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Predicting mental and psychomotor delay in very pre-term infants using machine learning.
Gözde M Demirci et al. Pediatr Res 2023
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The Promise and Risks of mHealth in Heart Failure Care.
Hubert B Haywood et al. J Card Fail 2023
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Adherence of randomised controlled trials using artificial intelligence in ophthalmology to CONSORT-AI guidelines: a systematic review and critical appraisal.
Niveditha Pattathil et al. BMJ Health Care Inform 2023 30(1)
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Modeling Epidemiology Data with Machine Learning Technique to Detect Risk Factors for Gastric Cancer.
Kimia Mohammadnezhad et al. J Gastrointest Cancer 2023
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Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program.
Wanting Cui et al. Stud Health Technol Inform 2023 305568-571
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Smart sleep: what to consider when adopting AI-enabled solutions in clinical practice of sleep medicine.
Anuja Bandyopadhyay et al. J Clin Sleep Med 2023
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Development and validation of an interpretable machine learning model-Predicting mild cognitive impairment in a high-risk stroke population.
Feng-Juan Yan et al. Front Aging Neurosci 2023 151180351
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 25, 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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