A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database

BACKGROUND: Immunohistochemistry (IHC) has played an essential role in the diagnosis of hematolymphoid neoplasms. However, IHC interpretations can be challenging in daily practice, and exponentially expanding volumes of IHC data are making the task increasingly difficult. We therefore developed a ma...

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Detalles Bibliográficos
Autores principales: Chong, Yosep, Lee, Ji Young, Kim, Yejin, Choi, Jingyun, Yu, Hwanjo, Park, Gyeongsin, Cho, Mee Yon, Thakur, Nishant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Pathologists and the Korean Society for Cytopathology 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674765/
https://www.ncbi.nlm.nih.gov/pubmed/32854491
http://dx.doi.org/10.4132/jptm.2020.07.11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674765/
https://www.ncbi.nlm.nih.gov/pubmed/32854491
http://dx.doi.org/10.4132/jptm.2020.07.11

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