RESUMEN
OBJECTIVE: To establish a computer-assisted screening system for individualized treatment of type 2 diabetes mellitus. METHODS: The clinical data of the diabetic patients were retrospectively analyzed, and the regression equation for the affecting factors and therapeutic effect was established. With computer-aided programming, a computer-assisted screening system was established. RESULTS: A computer-assisted screening system for individualized treatment type 2 diabetes was established, which showed a concordance rate was 98% in clinical verification. CONCLUSION: Using epidemiological methods and assistance by computer technique, a computer-assisted screening system for individualized prescription can be established for selecting therapeutic regimen for type 2 diabetes.
Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas , Diabetes Mellitus Tipo 2/terapia , Quimioterapia Asistida por Computador/métodos , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Atención Dirigida al Paciente/métodos , Estudios RetrospectivosRESUMEN
OBJECTIVE: To investigate the risk factors of pulmonary fungal infections related to hematologic malignancies. METHODS: A retrospective case-controlled study was conducted to analyze the patients with pulmonary fungal and bacterial infections in association with hematologic malignancies. The risk factors of pulmonary fungal infections related to hematologic malignancies were identified. RESULTS: Three hundred and four cases (194 of pulmonary fungal infections and 110 of pulmonary bacterial infections) were enrolled in this study. Univariate analysis and multivariate logistic regression show that such factors as corticosteroid, halo sign, previous fungal infections, ANC lower than 0.5 x 10(9)/L for over 10 days, nodus near pleura, transplantation (immunodepressant use), chemotherapy, and broad spectrum antibiotics were all the independent risk factors of pulmonary fungal infections related to hematologic malignancies. CONCLUSION: There are many risk factors for pulmonary fungal infections related to hematologic malignancies, and early identification of these factors for timely antifungal treatment is of much clinical significance.
Asunto(s)
Neoplasias Hematológicas/microbiología , Enfermedades Pulmonares Fúngicas/etiología , Adulto , Estudios de Casos y Controles , China/epidemiología , Femenino , Neoplasias Hematológicas/complicaciones , Humanos , Incidencia , Modelos Logísticos , Enfermedades Pulmonares Fúngicas/epidemiología , Masculino , Estudios Retrospectivos , Factores de Riesgo , Adulto JovenRESUMEN
To construct a digital model of Yin and Yang of traditional Chinese medicine (TCM), computerized binary digital coding was used for decomposition and reconstruction of the theory of Yin and Yang, which proved to be a successful simulation of the major ingredients of the theory and suggested the possibility of digitalization of the fundamental theories in TCM.
