Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14083, first published .
Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study

Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study

Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study

Journals

  1. Choi Y, Kim Y, Chung J, Kim K, Kim H, Park R, Park D. Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study. JMIR Medical Informatics 2020;8(4):e15124 View
  2. Danos A, Krysiak K, Barnell E, Coffman A, McMichael J, Kiwala S, Spies N, Sheta L, Pema S, Kujan L, Clark K, Wollam A, Rao S, Ritter D, Sonkin D, Raca G, Lin W, Grisdale C, Kim R, Wagner A, Madhavan S, Griffith M, Griffith O. Standard operating procedure for curation and clinical interpretation of variants in cancer. Genome Medicine 2019;11(1) View
  3. Martinez-Sanchez L, Marques-Garcia F, Ozarda Y, Blanco A, Brouwer N, Canalias F, Cobbaert C, Thelen M, den Elzen W. Big data and reference intervals: rationale, current practices, harmonization and standardization prerequisites and future perspectives of indirect determination of reference intervals using routine data. Advances in Laboratory Medicine / Avances en Medicina de Laboratorio 2021;2(1):9 View
  4. Martínez-Sánchez L, Marques-García F, Ozarda Y, Blanco A, Brouwer N, Canalias F, Cobbaert C, Thelen M, den Elzen W. Big data e intervalos de referencia: motivación, prácticas actuales, prerrequisitos de armonización y estandarización y futuras perspectivas en el cálculo de intervalos de referencia mediante métodos indirectos. Advances in Laboratory Medicine / Avances en Medicina de Laboratorio 2021;2(1):17 View