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

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  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
  5. Hauser R, Gisriel S, El-Khoury J. The Surprising Absence of a Laboratory Result Standard. American Journal of Clinical Pathology 2022;157(5):642 View
  6. Yeh C, Peng S, Yang H, Islam M, Poly T, Hsu C, Huff S, Chen H, Lin M. Logical Observation Identifiers Names and Codes (LOINC®) Applied to Microbiology: A National Laboratory Mapping Experience in Taiwan. Diagnostics 2021;11(9):1564 View
  7. Xia Y, Wang X, Wu W, Shi H, Sun L. Rehabilitation of Sepsis Patients with Acute Kidney Injury Based on Intelligent Medical Big Data. Journal of Healthcare Engineering 2022;2022:1 View
  8. Syed R, Eden R, Makasi T, Chukwudi I, Mamudu A, Kamalpour M, Kapugama Geeganage D, Sadeghianasl S, Leemans S, Goel K, Andrews R, Wynn M, ter Hofstede A, Myers T. Digital Health Data Quality Issues: Systematic Review. Journal of Medical Internet Research 2023;25:e42615 View
  9. Ahmmed S, Mondal M, Mia M, Adibuzzaman M, Hoque A, Ahamed S. A novel approach for standardizing clinical laboratory categorical test results using machine learning and string distance similarity. Heliyon 2023;9(11):e21523 View
  10. Santamato V, Tricase C, Faccilongo N, Iacoviello M, Pange J, Marengo A. Machine Learning for Evaluating Hospital Mobility: An Italian Case Study. Applied Sciences 2024;14(14):6016 View