This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Breast Cancer (206) Electronic Health Records (1053)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43359, first published .
Preliminary Attainability Assessment of Real-World Data for Answering Major Clinical Research Questions in Breast Cancer Brain Metastasis: Framework Development and Validation Study

Preliminary Attainability Assessment of Real-World Data for Answering Major Clinical Research Questions in Breast Cancer Brain Metastasis: Framework Development and Validation Study

Preliminary Attainability Assessment of Real-World Data for Answering Major Clinical Research Questions in Breast Cancer Brain Metastasis: Framework Development and Validation Study

Authors of this article:

Min Jeong Kim1 Author Orcid Image ;   Hyo Jung Kim1, 2 Author Orcid Image ;   Danbee Kang3, 4 Author Orcid Image ;   Hee Kyung Ahn5 Author Orcid Image ;   Soo-Yong Shin1, 2, 6 Author Orcid Image ;   Seri Park7 Author Orcid Image ;   Juhee Cho3, 4, 8 Author Orcid Image ;   Yeon Hee Park1, 9 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Kim H, Jeon Y, Um S, Shin S, Jeong B, Lee K, Kim H, Lee H, Kim T, Lee K, Choi Y, Han J, Ahn Y, Pyo H, Noh J, Choi J, Cho J, Choi Y, Zo J, Shim Y, Hwang S, Kim J. Role of invasive mediastinal nodal staging in survival outcomes of patients with non-small cell lung cancer and without radiologic lymph node metastasis: a retrospective cohort study. eClinicalMedicine 2024;69:102478 View
  2. Lin T, Chung H, Jian M, Chang C, Perng C, Liao G, Yu J, Dai M, Yu C, Shang H. An Advanced Machine Learning Model for a Web-Based Artificial Intelligence–Based Clinical Decision Support System Application: Model Development and Validation Study. Journal of Medical Internet Research 2024;26:e56022 View