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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Jan 19, 2022. (Total: 44605 Documents since 2012)
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Query Trace: Epidemiology[original query]>>Translation/Implementation Studies[Product Type]
Prevalence and disease progression of genetically-confirmed facioscapulohumeral muscular dystrophy type 1 (FSHD1) in China between 2001 and 2020: a nationwide population-based study.
Wang Zhiqiang et al. The Lancet regional health. Western Pacific 2022 18100323
Machine Learning-Based Prognostic Prediction Models of Non-Metastatic Colon Cancer: Analyses Based on Surveillance, Epidemiology and End Results Database and a Chinese Cohort.
Tang Mo et al. Cancer management and research 2022 1425-35
Identifying Predictors of Opioid Overdose Death at a Neighborhood Level With Machine Learning.
Schell Robert C et al. American journal of epidemiology 2022
Application of machine learning approaches to predict the 5-year survival status of patients with esophageal cancer.
Gong Xian et al. Journal of thoracic disease 2022 13(11) 6240-6251
Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach.
Barbieri Sebastiano et al. International journal of epidemiology 2021
An Analysis of Medical Care Services for Children With Rare Diseases in the Russian Federation.
Volgina Svetlana Ya et al. Frontiers in pharmacology 2021 12754073
Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes.
Jain Abhinav et al. Journal, genetic engineering & biotechnology 2021 19(1) 183
Analyzing the impact of Machine learning and Artificial intelligence and its Effect on Management of lung cancer detection in covid-19 pandemic.
Sarath Kumar Boddu Raja et al. Materials today. Proceedings 2021
CARL: a running recognition algorithm for free-living accelerometer data.
Davis Iv John J et al. Physiological measurement 2021
A Risk-Based Clinical Decision Support System for Patient-Specific Antimicrobial Therapy (iBiogram): Design and Retrospective Analysis.
Müller Lars et al. Journal of medical Internet research 2021 23(12) e23571
Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer.
Liu Wen-Cai et al. Cancer management and research 2021 138723-8736
Risk Assessment of Pulmonary Metastasis for Cervical Cancer Patients by Ensemble Learning Models: A Large Population Based Real-World Study.
Zhu Menglin et al. International journal of general medicine 2021 148713-8723
Predicting Survival of Patients With Rectal Neuroendocrine Tumors Using Machine Learning: A SEER-Based Population Study.
Cheng Xiaoyun et al. Frontiers in surgery 2021 8745220
Cancer incidence, patterns, and genotype-phenotype associations in individuals with pathogenic or likely pathogenic germline TP53 variants: an observational cohort study.
de Andrade Kelvin César et al. The Lancet. Oncology 2021
Explaining the variance in cardiovascular disease risk factors: A comparison of demographic, socioeconomic, and genetic predictors.
Hamad Rita et al. Epidemiology (Cambridge, Mass.) 2021
Automated Risk Stratification of Hip Osteoarthritis Development in Patients With Femoroacetabular Impingement Using an Unsupervised Clustering Algorithm: A Study From the Rochester Epidemiology Project.
Ko Sunho et al. Orthopaedic journal of sports medicine 2021 9(11) 23259671211050613
Racial and Ethnic Disparities Among Participants in Precision Oncology Clinical Studies.
Aldrighetti Christopher M et al. JAMA network open 2021 4(11) e2133205
Electrocardiogram-based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation.
Khurshid Shaan et al. Circulation 2021
Artificial Intelligence Combined With Big Data to Predict Lymph Node Involvement in Prostate Cancer: A Population-Based Study.
Wei Liwei et al. Frontiers in oncology 2021 11763381
Retrospective analysis and time series forecasting with automated machine learning of ascariasis, enterobiasis and cystic echinococcosis in Romania.
Benecke Johannes et al. PLoS neglected tropical diseases 2021 15(11) e0009831
Analysis of Sociodemographic, Clinical, and Genomic Factors Associated With Breast Cancer Mortality in the Linked Surveillance, Epidemiology, and End Results and Medicare Database.
Robinson Timothy J et al. JAMA network open 2021 4(10) e2131020
Are We Prepared for Precision Public Health? An Examination of Genomics Content in Graduate Public Health Programs.
Niemchick Karen L et al. Public health reports (Washington, D.C. : 1974) 2021 333549211055708
Can ensemble machine learning improve the accuracy of severe maternal morbidity screening in a perinatal database?
Cartus Abigail R et al. Epidemiology (Cambridge, Mass.) 2021
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations.
Haque Fahmida et al. Computers in biology and medicine 2021 139104954
Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.
Dong Weichuan et al. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2021
Development of the Hypertension Index Model in General Adult Using the Korea National Health and Nutritional Examination Survey and the Korean Genome and Epidemiology Study.
Seo Myung-Jae et al. Journal of personalized medicine 2021 11(10)
Trans-ethnic Mendelian-randomization study reveals causal relationships between cardiometabolic factors and chronic kidney disease.
Zheng Jie et al. International journal of epidemiology 2021
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
SA Arik et al,NPJ Digital Medicine, October 8, 2021
Genomic risk prediction of coronary artery disease in women with breast cancer: a prospective cohort study.
Liou Lathan et al. Breast cancer research : BCR 2021 23(1) 94
Integrating additional factors into the TNM staging for cutaneous melanoma by machine learning.
Yang Charles Q et al. PloS one 2021 16(9) e0257949
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