Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17853, first published .
Crawling the German Health Web: Exploratory Study and Graph Analysis

Crawling the German Health Web: Exploratory Study and Graph Analysis

Crawling the German Health Web: Exploratory Study and Graph Analysis

Journals

  1. Vaghela U, Rabinowicz S, Bratsos P, Martin G, Fritzilas E, Markar S, Purkayastha S, Stringer K, Singh H, Llewellyn C, Dutta D, Clarke J, Howard M, Serban O, Kinross J. Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study. Journal of Medical Internet Research 2021;23(5):e25714 View
  2. Tchakounte F, Teukeng Ngnintedem J, Damakoa I, Ahmadou F, Kuate Fotso F. Crawl-shing: A focused crawler for fetching phishing contents based on graph isomorphism. Journal of King Saud University - Computer and Information Sciences 2022;34(10):8888 View
  3. Zowalla R, Pfeifer D, Wetter T, Al-Yateem N. Readability and topics of the German Health Web: Exploratory study and text analysis. PLOS ONE 2023;18(2):e0281582 View
  4. Zia A, Aziz M, Popa I, Khan S, Hamedani A, Asif A. Artificial Intelligence-Based Medical Data Mining. Journal of Personalized Medicine 2022;12(9):1359 View
  5. Schultze M, Breuning M, von der Heyde M, Kaiser M, Müller-Nordhorn J, Holmberg C. Presenting scientifically-derived illness experiences online – Evaluation of the use of the DIPEx Germany website. Patient Education and Counseling 2022;105(7):2328 View
  6. Mathebula D. Quantitative Analysis of Group for Epidemiology Architectural Approach. Annals of Data Science 2024;11(3):979 View
  7. Rajiv S, Navaneethan C. An Optimal Topic Centric Crawler for Acquiring Bio-medical Themes Utilizing Gaussian Support Vector Regression. SN Computer Science 2023;4(6) View
  8. Sakai K, Takeshige K, Kato K, Kurihara N, Ono K, Hashimoto M. An Automatic Detection System for Fake Japanese Shopping Sites Using fastText and LightGBM. IEEE Access 2023;11:111389 View