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Clinical Characteristics of Patients with Pulmonary Thromboembolism Based on Computer Statistical Analysis.
Wang, Shaofei; Jia, Ruiyi; Pang, Guifen.
Afiliación
  • Wang S; The Affiliated Hospital of Chengde Medical Collage, Chengde 067000, Hebei, China.
  • Jia R; The Affiliated Hospital of Chengde Medical Collage, Chengde 067000, Hebei, China.
  • Pang G; The Affiliated Hospital of Chengde Medical Collage, Chengde 067000, Hebei, China.
J Healthc Eng ; 2022: 1112960, 2022.
Article en En | MEDLINE | ID: mdl-35242294
ABSTRACT
In order to explore the reliable clinical characteristics of patients with pulmonary thromboembolism, this paper applies computer statistical analysis methods to the analysis of clinical characteristics of patients with pulmonary thromboembolism. Moreover, starting from the actual situation, this paper combines experiments to study the case, uses sample screening and sample processing to group samples freely, and conducts grouping reliability research through data statistics methods. After verifying the reliability of the grouping, this paper combines the samples to test the effectiveness of the computer statistical analysis method applied to the clinical characteristic analysis of patients with pulmonary thromboembolism and conducts numerical analysis in combination with the comparative analysis method. The results of the research show that the computer statistical method proposed in this paper has a good effect on the clinical characteristics of patients with pulmonary thromboembolism and meets the actual needs of clinical analysis.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Embolia Pulmonar Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Healthc Eng Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Embolia Pulmonar Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Healthc Eng Año: 2022 Tipo del documento: Article País de afiliación: China
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