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Public Health Genomics and Precision Health Knowledge Base (v8.2)
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Last data update: Feb 04, 2023
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A machine learning approach to determine the influence of specific health conditions on self-rated health across education groups.
Gumà-Lao Jordi et al. BMC public health 2023 23(1) 131
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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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How We Got Here: The Legacy of Anti-Black Discrimination in Radiology.
Goldberg Julia E et al. Radiographics : a review publication of the Radiological Society of North America, Inc 2023 43(2) e220112
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Adherence to the CDK 4/6 Inhibitor Palbociclib and Omission of Dose Management Supported by Pharmacometric Modelling as Part of the OpTAT Study.
Bandiera Carole et al. Cancers 2023 15(1)
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Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data.
Ter-Minassian Lucile et al. BMJ open 2022 12(12) e058058
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Identifying Predictors of Adherence to the Physical Activity Goal: A Secondary Analysis of the SMARTER Weight Loss Trial.
Bizhanova Zhadyra et al. Medicine and science in sports and exercise 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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Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS).
Li Jia-Xin et al. Global health research and policy 2022 7(1) 48
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A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data.
Tan Wei Ying et al. Journal of Alzheimer's disease : JAD 2022
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The effectiveness of artificial intelligence-based automated grading and training system in education of manual detection of diabetic retinopathy.
Qian Xu et al. Frontiers in public health 2022 101025271
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Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test.
Al-Jallad Nisreen et al. PLOS digital health 2022 1(6)
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Feasibility of Establishing an Artificial Intelligence Based Head and Neck Cancer Registry: Experience from a Tertiary Care Hospital.
Gautamjit R K et al. Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India 2022 1-6
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Implementation of an All-Day Artificial Intelligence-Based Triage System to Accelerate Door-to-Balloon Times.
Wang Yu-Chen et al. Mayo Clinic proceedings 2022
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Artificial Intelligence Literacy: Developing a Multi-institutional Infrastructure for AI Education.
Perchik J D et al. Academic radiology 2022
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Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care.
Rushlow David R et al. Mayo Clinic proceedings 2022 97(11) 2076-2085
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Lung cancer prediction using machine learning on data from a symptom e-questionnaire for never smokers, formers smokers and current smokers.
Nemlander Elinor et al. PloS one 2022 17(10) e0276703
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A survey of pregnant patients' perspectives on the implementation of artificial intelligence in clinical care.
Armero William et al. Journal of the American Medical Informatics Association : JAMIA 2022
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Feasibility of screening for diabetic retinopathy using artificial intelligence, Brazil.
Malerbi Fernando Korn et al. Bulletin of the World Health Organization 2022 100(10) 643-647
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A machine learning approach for predicting suicidal ideation in post stroke patients.
Song Seung Il et al. Scientific reports 2022 12(1) 15906
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Comparative study of different SES neighborhood clinics for health literacy and internet access.
Livingood William C et al. Digital health 2022 820552076221123715
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Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementia.
Cheung Carol Y et al. Brain communications 2022 4(4) fcac212
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Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment.
Chun Min Young et al. Frontiers in aging neuroscience 2022 14898940
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A Study of Dementia Prediction Models Based on Machine Learning with Survey Data of Community-Dwelling Elderly People in China.
Xu Qing et al. Journal of Alzheimer's disease : JAD 2022
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Advance Planning for Technology Use in Dementia Care: Development, Design, and Feasibility of a Novel Self-administered Decision-Making Tool.
Berridge Clara et al. JMIR aging 2022 5(3) e39335
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Machine learning-based predictive modeling of depression in hypertensive populations.
Lee Chiyoung et al. PloS one 2022 17(7) e0272330
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An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model.
Brakefield Whitney S et al. JMIR formative research 2022 6(7) e36055
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Machine learning is an effective method to predict the 90-day prognosis of patients with transient ischemic attack and minor stroke.
Chen Si-Ding et al. BMC medical research methodology 2022 22(1) 195
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Personalizing self-management via behavioral predictive analytics with health education for improved self-efficacy.
Sy Bon et al. Patterns (New York, N.Y.) 2022 3(6) 100510
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The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters.
Rakovic Kai et al. Diagnostics (Basel, Switzerland) 2022 12(5)
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Questionnaire-based exposome-wide association studies (ExWAS) reveal expected and novel risk factors associated with cardiovascular outcomes in the Personalized Environment and Genes Study.
Lee Eunice Y et al. Environmental research 2022 113463
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Page last reviewed:
Feb 1, 2023
Page last updated:
Feb 04, 2023
Content source:
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