Published on in Vol 18, No 3 (2016): March

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)

Finding the Patient’s Voice Using Big Data: Analysis of Users’ Health-Related Concerns in the ChaCha Question-and-Answer Service (2009–2012)

Journals

  1. Aleksova J, Kuczynska-Burggraf M, Ranasinha S, Vincent A. Information on early menopause: is the internet the place to search?. Climacteric 2017;20(3):248 View
  2. Miller W, Gesselman A, Garcia J, Groves D, Buelow J. Epilepsy-related romantic and sexual relationship problems and concerns: Indications from Internet message boards. Epilepsy & Behavior 2017;74:149 View
  3. Carpenter J, Groves D, Chen C, Otte J, Miller W. Menopause and big data: Word Adjacency Graph modeling of menopause-related ChaCha data. Menopause 2017;24(7):783 View
  4. Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91 View
  5. Miller W, Groves D, Knopf A, Otte J, Silverman R. Word Adjacency Graph Modeling. Western Journal of Nursing Research 2017;39(1):166 View
  6. Chen C, Groves D, Miller W, Carpenter J. Big Data and Dysmenorrhea: What Questions Do Women and Men Ask About Menstrual Pain?. Journal of Women's Health 2018;27(10):1233 View
  7. Barros J, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680 View
  8. Tangherlini T, Roychowdhury V, Glenn B, Crespi C, Bandari R, Wadia A, Falahi M, Ebrahimzadeh E, Bastani R. “Mommy Blogs” and the Vaccination Exemption Narrative: Results From A Machine-Learning Approach for Story Aggregation on Parenting Social Media Sites. JMIR Public Health and Surveillance 2016;2(2):e166 View
  9. Yi Y. Sexual health information-seeking behavior on a social media site: predictors of best answer selection. Online Information Review 2018;42(6):880 View
  10. Dutta M, Murray L, Miller W, Groves D. Effects of Epilepsy on Language Functions: Scoping Review and Data Mining Findings. American Journal of Speech-Language Pathology 2018;27(1S):350 View
  11. Pretorius K, Choi E, Kang S, Mackert M. Sudden Infant Death Syndrome on Facebook: Qualitative Descriptive Content Analysis to Guide Prevention Efforts. Journal of Medical Internet Research 2020;22(7):e18474 View
  12. Aguayo G, Goetzinger C, Scibilia R, Fischer A, Seuring T, Tran V, Ravaud P, Bereczky T, Huiart L, Fagherazzi G. Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study. Journal of Medical Internet Research 2021;23(12):e25743 View
  13. Wijayanti R, Handayani P, Azzahro F. Intention to seek health information on social media in Indonesia. Procedia Computer Science 2022;197:118 View
  14. Malloy C, Rawl S, Miller W. Inflammatory Bowel Disease Self-Management. Gastroenterology Nursing 2022;45(4):254 View
  15. Miller W, Malloy C, Mravec M, Sposato M, Groves D. Nursing in the spotlight: Talk about nurses and the nursing profession on Twitter during the early COVID-19 pandemic. Nursing Outlook 2022;70(4):580 View
  16. Ren X, Wang X. Medical intelligent system application in schizophrenia treatment satisfaction based on neural networks. Soft Computing 2023;27(14):10093 View
  17. Pretorius K. A Simple and Systematic Approach to Qualitative Data Extraction From Social Media for Novice Health Care Researchers: Tutorial. JMIR Formative Research 2024;8:e54407 View

Books/Policy Documents

  1. Hocke-Bolte Z, Peters B, Haunit T. Forschungsmethoden in der Gesundheitsförderung und Prävention. View