BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

496 related articles for article (PubMed ID: 27416554)

  • 1. Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns.
    Deiner MS; Lietman TM; McLeod SD; Chodosh J; Porco TC
    JAMA Ophthalmol; 2016 Sep; 134(9):1024-30. PubMed ID: 27416554
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Google Searches and Detection of Conjunctivitis Epidemics Worldwide.
    Deiner MS; McLeod SD; Wong J; Chodosh J; Lietman TM; Porco TC
    Ophthalmology; 2019 Sep; 126(9):1219-1229. PubMed ID: 30981915
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Frequency and seasonal variation of ophthalmology-related internet searches.
    Leffler CT; Davenport B; Chan D
    Can J Ophthalmol; 2010 Jun; 45(3):274-9. PubMed ID: 20436544
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study.
    Deiner MS; Kaur G; McLeod SD; Schallhorn JM; Chodosh J; Hwang DH; Lietman TM; Porco TC
    J Med Internet Res; 2022 Jul; 24(7):e27310. PubMed ID: 35537041
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts.
    Deiner MS; McLeod SD; Chodosh J; Oldenburg CE; Fathy CA; Lietman TM; Porco TC
    Invest Ophthalmol Vis Sci; 2018 Feb; 59(2):910-920. PubMed ID: 29450538
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Tracking search engine queries for suicide in the United Kingdom, 2004-2013.
    Arora VS; Stuckler D; McKee M
    Public Health; 2016 Aug; 137():147-53. PubMed ID: 26976489
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Public hospital quality report awareness: evidence from National and Californian Internet searches and social media mentions, 2012.
    Huesch MD; Currid-Halkett E; Doctor JN
    BMJ Open; 2014 Mar; 4(3):e004417. PubMed ID: 24618223
    [TBL] [Abstract][Full Text] [Related]  

  • 8. More than just a stye: identifying seasonal patterns using google trends, and a review of infodemiological literature in ophthalmology.
    Pradeep T; Ravipati A; Melachuri S; Fu R
    Orbit; 2023 Apr; 42(2):130-137. PubMed ID: 35240907
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Digital epidemiology: assessment of measles infection through Google Trends mechanism in Italy.
    Santangelo OE; Provenzano S; Piazza D; Giordano D; Calamusa G; Firenze A
    Ann Ig; 2019; 31(4):385-391. PubMed ID: 31268123
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study.
    Deiner MS; Seitzman GD; Kaur G; McLeod SD; Chodosh J; Lietman TM; Porco TC
    JMIR Infodemiology; 2022; 2(1):e31732. PubMed ID: 35320981
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits.
    Klembczyk JJ; Jalalpour M; Levin S; Washington RE; Pines JM; Rothman RE; Dugas AF
    J Med Internet Res; 2016 Jun; 18(6):e175. PubMed ID: 27354313
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study.
    Deiner MS; Deiner NA; Hristidis V; McLeod SD; Doan T; Lietman TM; Porco TC
    J Med Internet Res; 2024 Mar; 26():e49139. PubMed ID: 38427404
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The reliability of tweets as a supplementary method of seasonal influenza surveillance.
    Aslam AA; Tsou MH; Spitzberg BH; An L; Gawron JM; Gupta DK; Peddecord KM; Nagel AC; Allen C; Yang JA; Lindsay S
    J Med Internet Res; 2014 Nov; 16(11):e250. PubMed ID: 25406040
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Relationship Between State-Level Google Online Search Volume and Cancer Incidence in the United States: Retrospective Study.
    Phillips CA; Barz Leahy A; Li Y; Schapira MM; Bailey LC; Merchant RM
    J Med Internet Res; 2018 Jan; 20(1):e6. PubMed ID: 29311051
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimating the Incidence of Conjunctivitis by Comparing the Frequency of Google Search Terms With Clinical Data: Retrospective Study.
    Kammrath Betancor P; Tizek L; Zink A; Reinhard T; Böhringer D
    JMIR Public Health Surveill; 2021 Mar; 7(3):e22645. PubMed ID: 33656450
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Association of Search Engine Queries for Chest Pain With Coronary Heart Disease Epidemiology.
    Senecal C; Widmer RJ; Lerman LO; Lerman A
    JAMA Cardiol; 2018 Dec; 3(12):1218-1221. PubMed ID: 30422176
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Seasonality of Ankle Swelling: Population Symptom Reporting Using Google Trends.
    Liu F; Allan GM; Korownyk C; Kolber M; Flook N; Sternberg H; Garrison S
    Ann Fam Med; 2016 Jul; 14(4):356-8. PubMed ID: 27401424
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Association of Public Health Measures During the COVID-19 Pandemic With the Incidence of Infectious Conjunctivitis.
    Lavista Ferres JM; Meirick T; Lomazow W; Lee CS; Lee AY; Lee MD
    JAMA Ophthalmol; 2022 Jan; 140(1):43-49. PubMed ID: 34792555
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea.
    Woo H; Cho Y; Shim E; Lee JK; Lee CG; Kim SH
    J Med Internet Res; 2016 Jul; 18(7):e177. PubMed ID: 27377323
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Search engines, news wires and digital epidemiology: Presumptions and facts.
    Kaveh-Yazdy F; Zareh-Bidoki AM
    Int J Med Inform; 2018 Jul; 115():53-63. PubMed ID: 29779720
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.