Cargando…
P1655: PERSONALIZED MACHINE-LEARNING-BASED PREDICTION FOR CRITICAL IMMUNE THROMBOCYTOPENIA BLEEDS: A NATIONWIDE DATA STUDY
Autores principales: | An, Z.-Y., Wu, Y.-J., Huang, R.-B., Zhou, H., Huang, Q.-S., Fu, H.-X., Jiang, Q., Jiang, H., Lu, J., Huang, X.-J., Zhang, X.-H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429697/ http://dx.doi.org/10.1097/01.HS9.0000849476.07698.72 |
Ejemplares similares
-
P1652: MACHINE-LEARNING-BASED MORTALITY PREDICTION OF ICH IN ADULTS WITH ITP: A NATIONWIDE REPRESENTATIVE MULTICENTRE STUDY
por: Zhang, X.-H., et al.
Publicado: (2022) -
P1654: COMPLEMENT ACTIVATION REGULATES PLATELET HOMEOSTASIS BY ARRESTING THE ANTI-INFLAMMATORY EFFECTS OF INTERLEUKIN-35 IN IMMUNE THROMBOCYTOPENIA
por: Gui, R.-Y., et al.
Publicado: (2022) -
P1392: MACHINE LEARNING ALGORITHM AS A PROGNOSTIC TOOL FOR VENOUS THROMBOEMBOLISM IN ALLOGENIC TRANSPLANT PATIENTS
por: Deng, R.-X., et al.
Publicado: (2022) -
Severe fever with thrombocytopenia syndrome virus: a systematic review and meta-analysis of transmission mode
por: Huang, X. Y., et al.
Publicado: (2020) -
P1653: CLINICAL EFFICACY AND SAFETY OF SWITCHING ELTROMBOPAG AND RH-TPO IN PATIENTS WITH IMMUNE THROMBOCYTOPENIA DURING THE COVID-19 PANDEMIC
por: Cai, X., et al.
Publicado: (2022)