Published on in Vol 5, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33124, first published .
Toward Automated Data Extraction According to Tabular Data Structure: Cross-sectional Pilot Survey of the Comparative Clinical Literature

Toward Automated Data Extraction According to Tabular Data Structure: Cross-sectional Pilot Survey of the Comparative Clinical Literature

Toward Automated Data Extraction According to Tabular Data Structure: Cross-sectional Pilot Survey of the Comparative Clinical Literature

Authors of this article:

Karl Holub1 Author Orcid Image ;   Nicole Hardy1 Author Orcid Image ;   Kevin Kallmes1 Author Orcid Image

Journals

  1. Legate A, Nimon K. (Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review protocol. F1000Research 2022;11:1036 View
  2. Lanera C, Baldi I, Francavilla A, Barbieri E, Tramontan L, Scamarcia A, Cantarutti L, Giaquinto C, Gregori D. A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster. International Journal of Environmental Research and Public Health 2022;19(10):5959 View
  3. Legate A, Nimon K. (Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review protocol. F1000Research 2023;11:1036 View
  4. Legate A, Nimon K, Noblin A. (Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review. F1000Research 2024;13:664 View
  5. Legate A, Nimon K, Noblin A. (Semi)automated approaches to data extraction for systematic reviews and meta-analyses in social sciences: A living review. F1000Research 2024;13:664 View