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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Jul 03, 2022. (Total: 48007 Documents since 2012)
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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
Conversational artificial intelligence: A new approach for increasing influenza vaccination rates in children with asthma?
Krupp K et al. Vaccine 2022
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
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
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
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
Toward the use of neural networks for influenza prediction at multiple spatial resolutions.
Aiken Emily L et al. Science advances 2021 7(25)
The Use of Social Media for Health Research Purposes: Scoping Review.
Bour Charline et al. Journal of medical Internet research 2021 23(5) e25736
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
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
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
Texture feature-based machine learning classifier could assist in the diagnosis of COVID-19.
Wu Zhiyuan et al. European journal of radiology 2021 137109602
Use Internet search data to accurately track state level influenza epidemics.
Yang Shihao et al. Scientific reports 2021 Feb 11(1) 4023
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
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
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
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
Jin Cheng et al. Nature communications 2020 Oct 11(1) 5088
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
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)
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
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
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
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
Social Media based Surveillance Systems for Healthcare using Machine Learning: A Systematic Review.
Gupta Aakansha et al. Journal of biomedical informatics 2020 Jul 103500
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
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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