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Public Health Genomics and Precision Health Knowledge Base (v7.8)
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Last data update: Jul 03, 2022
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Linking digital surveillance and in-depth virology to study clinical patterns of viral respiratory infections in vulnerable patient populations.
Obermeier Patrick E et al. iScience 2022 25(5) 104276
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Conversational artificial intelligence: A new approach for increasing influenza vaccination rates in children with asthma?
Krupp K et al. Vaccine 2022
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Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection.
Nadda Wanchaloem et al. BioData mining 2022 15(1) 5
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Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong.
Wang Zi-Xiao et al. Current medical science 2022
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A Systematic Review of Clinical Prediction Rules for the Diagnosis of Influenza.
Ebell Mark H et al. Journal of the American Board of Family Medicine : JABFM 2021 34(6) 1123-1140
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Assessment of the Feasibility of Using Noninvasive Wearable Biometric Monitoring Sensors to Detect Influenza and the Common Cold Before Symptom Onset
E Grzesiak et al, JAMA Network Open, September 29, 2021
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
JL Lee et al, NPJ Digital Medicine, September 17, 2021
Public Health and Epidemiology Informatics: Recent Research Trends.
Diallo Gayo et al. Yearbook of medical informatics 2021 30(1) 280-282
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Toward the use of neural networks for influenza prediction at multiple spatial resolutions.
Aiken Emily L et al. Science advances 2021 7(25)
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The Use of Social Media for Health Research Purposes: Scoping Review.
Bour Charline et al. Journal of medical Internet research 2021 23(5) e25736
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Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.
Poirier Canelle et al. PloS one 2021 16(5) e0250890
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From Precision Metapharmacology to Patient Empowerment: Delivery of Self-Care Practices for Epilepsy, Pain, Depression and Cancer Using Digital Health Technologies.
Bulaj Grzegorz et al. Frontiers in pharmacology 2021 12612602
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Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease.
Kim Moojung et al. BMC cardiovascular disorders 2021 21(1) 129
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Texture feature-based machine learning classifier could assist in the diagnosis of COVID-19.
Wu Zhiyuan et al. European journal of radiology 2021 137109602
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Use Internet search data to accurately track state level influenza epidemics.
Yang Shihao et al. Scientific reports 2021 Feb 11(1) 4023
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The risk of racial bias while tracking influenza-related content on social media using machine learning.
Lwowski Brandon et al. Journal of the American Medical Informatics Association : JAMIA 2021 Jan
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Diagnostic accuracy of an app-guided, self-administered test for influenza among individuals presenting to general practice with influenza-like illness: study protocol.
Lyon Victoria et al. BMJ open 2020 Nov 10(11) e036298
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Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study.
Choo Hyunwoo et al. Journal of medical Internet research 2020 Oct 22(10) e21369
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Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
Jin Cheng et al. Nature communications 2020 Oct 11(1) 5088
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Annual Wellness Visits and Influenza Vaccinations among Older Adults in the US.
Jørgensen Terese Sara Høj et al. Journal of primary care & community health 112150132720962870
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Preliminary Attempt to Predict Risk of Invasive Pulmonary Aspergillosis in Patients with Influenza: Decision Trees May Help?
Bellelli Valeria et al. Antibiotics (Basel, Switzerland) 2020 Sep 9(10)
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Machine Learning Predicts Prolonged Acute Hypoxemic Respiratory Failure in Pediatric Severe Influenza.
Sauthier Michaël S et al. Critical care explorations 2020 Aug 2(8) e0175
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Spanish Influenza Score (SIS): Usefulness of machine learning in the development of an early mortality prediction score in severe influenza.
et al. Medicina intensiva 2020 Aug
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Antigenicity prediction and vaccine recommendation of human influenza virus A (H3N2) using convolutional neural networks.
Lee Eva K et al. Human vaccines & immunotherapeutics 2020 Aug 1-19
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Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States.
Silverman Justin D et al. Science translational medicine 2020 Jun
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Social Media based Surveillance Systems for Healthcare using Machine Learning: A Systematic Review.
Gupta Aakansha et al. Journal of biomedical informatics 2020 Jul 103500
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Comparing SARS-CoV-2 with SARS-CoV and influenza pandemics
E Petersen et al, LANcet, July 3, 2020
Using influenza surveillance networks to estimate state-specific prevalence of SARS-CoV-2 in the United States
JD Silverman et al, Sci Trans Med, June 2020
The COVID-19 pandemic and health inequalities.
Bambra Clare et al. Journal of epidemiology and community health 2020 Jun
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Differentiation of Cytopathic Effects (CPE) induced by influenza virus infection using deep Convolutional Neural Networks (CNN).
Wang Ting-En et al. PLoS computational biology 2020 May 16(5) e1007883
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Page last updated:
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