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1.
Cir Cir ; 91(4): 550-560, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37677948

RESUMO

OBJECTIVE: To apply an artificial neural networks analysis (ANN) model to identify variables that predict assigned leadership and academic success in graduates of six generations of medical school. METHOD: Analytical, retrospective, comparative study. A total of 1434 graduates participated. A questionnaire was sent to them by e-mail including a voluntary participation consent. A multivariate statistical analysis using multi-layer perceptron ANN, decision trees and driver analysis was performed. RESULTS: The ANN identified seven independent variables that predicted professional success and eight for leadership in medical graduates. The decision trees identified significant differences in the variables professional performance (p = 0.000), age (p = 0.005) and continuing education activities (p = 0.034) related to professional success, and for leadership the variables gender (p = 0.000), high school grades (p = 0.042), performing clinical practice during the social service year (p = 0.002) and continuing education activities (p = 0.011). CONCLUSIONS: The ANN identified the main independent predictor variables of professional success and leadership of the graduates. This study opens up two new lines of research little studied with the techniques of in the area of medicine.


OBJETIVO: Aplicar un modelo de análisis de redes neuronales artificiales (RNA) para identificar las variables que predicen el liderazgo asignado y el éxito académico en egresados de seis generaciones de la carrera de Medicina. MÉTODO: Estudio analítico, retrospectivo y comparativo. Participaron 1434 egresados. Se envió un cuestionario por correo electrónico que incluyó el consentimiento de participación voluntaria. Se realizó análisis estadístico multivariado mediante RNA del tipo perceptrón multicapa, árboles de decisión y análisis de impulsores. RESULTADOS: Las RNA identificaron siete variables independientes que predijeron el éxito profesional y ocho para el liderazgo en los médicos egresados. Los árboles de decisión identificaron diferencias significativas en las variables desempeño profesional (p = 0.000), edad (p = 0.005) y actividades de educación continua (p = 0.034) relacionadas con el éxito profesional, y para el liderazgo las variables sexo (p = 0.000), promedio en el bachillerato (p = 0.042), realizar práctica clínica en el servicio social (p = 0.002) y actividades de educación continua (p = 0.011). ­. CONCLUSIONES: Las RNA identificaron las principales variables independientes predictoras del éxito profesional y el liderazgo de los egresados. El estudio abre dos líneas de investigación poco estudiadas con las técnicas de RNA en el área de la medicina.


Assuntos
Sucesso Acadêmico , Medicina , Humanos , Liderança , Estudos Retrospectivos , Redes Neurais de Computação
2.
Travel Med Infect Dis ; 52: 102553, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36805019

RESUMO

BACKGROUND: Covid symptoms reflect its multisystem nature, in addition to its positive relationship between the severity of the condition and the severity of the long COVID. OBJECTIVE: To identify the factors associated with the prevalence of SEQUELAE DUE TO COVID-19 one year after their hospital discharge due to severe pneumonia. METHOD: Longitudinal, analytical, prospective and comparative study. 71 covid-19 pneumonia survivors were followed. Two telephone interviews were conducted to each patient; the first at 5 months of discharge and the second at 12 months from the mentioned date. We included questions of 40 symptoms, in addition to the questioning of diabetes mellitus and/or systemic hypertension with a mentioned onset during the hospitalization or after hospital discharge due to COVID-19. RESULTS: Of the 37 patients without complications and without comorbidities prior to hospitalization, 11 (29.7%) developed arterial hypertension during or after discharge and 17 (45.9%) developed diabetes mellitus before five months. Short-term memory loss was an upward sequel in the two measurements, 24.3% and 41.9% respectively. CONCLUSIONS: Type 2 diabetes mellitus and high blood pressure detected at five months was temporary and reversed in many cases at twelve months. It will be important to deepen the study of brain damage and cognitive dysfunction, characterized by memory loss.


Assuntos
COVID-19 , Disfunção Cognitiva , Diabetes Mellitus Tipo 2 , Hipertensão , Humanos , COVID-19/complicações , COVID-19/epidemiologia , SARS-CoV-2 , Diabetes Mellitus Tipo 2/complicações , Diabetes Mellitus Tipo 2/epidemiologia , Síndrome de COVID-19 Pós-Aguda , Estudos Prospectivos , Hospitalização , Hipertensão/epidemiologia , Disfunção Cognitiva/epidemiologia , Disfunção Cognitiva/etiologia
3.
Cir Cir ; 88(3): 269-276, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32539014

RESUMO

BACKGROUND: Medical graduates follow-up programs allow the improvement of the curriculum of the Medicine career. Through identifying opportunity areas and strengthening points, institutions become increasingly competitive. OBJECTIVE: Identify the socio-demographic, formative, labor insertion and satisfaction characteristics among six generations of graduates of the Medical School of the Faculty of Medicine of the National Autonomous University of Mexico (2004-2009). METHOD: It is a descriptive, cross-sectional, retrospective, comparative study integrating the answers of mailed electronic questionnaires to 5295 graduates who concluded studies between 2004 and 2009. Descriptive and inferential techniques were used for analysis. RESULTS: An upward trend in the number of years to conclude the career was identified and an increase in failed assignments in the last three generations. Noticeable was also that, as time went by, the incorporation of physicians into the labor market was slower. Although the percentage of general unemployment was very low (2.9%). CONCLUSIONS: There are no major changes in the characteristics of the Medicine graduates. Although it is necessary to identify the reason for the increased in failed assignments which affects the length of completion. Further improvement in Research and Social Medicine programs are to be considered.


ANTECEDENTES: Los programas de seguimiento de egresados permiten mejorar los programas y el currículo de la carrera de Medicina, identificando las áreas de oportunidad y haciendo más competitivas a las instituciones educativas. OBJETIVO: Identificar las características sociodemográficas, formativas, de inserción laboral y de satisfacción, en seis generaciones de egresados de la carrera de Medicina de la Universidad Nacional Autónoma de México (2004-2009). MÉTODO: Estudio descriptivo, transversal, retrospectivo y comparativo, con 5295 egresados de la carrera de Medicina que concluyeron entre 2004 y 2009. Se envió un cuestionario por correo electrónico a cada uno de los egresados y se analizaron los resultados mediante técnicas descriptivas e inferenciales. RESULTADOS: Se observó un incremento en el número de años para concluir la carrera y un aumento en el número de materias reprobadas en las últimas tres generaciones. Además, hubo mayor lentitud en la inserción laboral en el mismo periodo, aunque el porcentaje de desempleo general fue muy bajo (2.9%). CONCLUSIONES: No hay cambios en la caracterización de los egresados respecto a generaciones anteriores; no obstante, será fundamental identificar las causas del incremento en el número de materias reprobadas que está afectando la eficiencia terminal, además de mejorar los programas de investigación epidemiológica y socio-médica.


Assuntos
Educação Médica , Médicos/estatística & dados numéricos , Faculdades de Medicina/estatística & dados numéricos , Adulto , Escolha da Profissão , Certificação , Congressos como Assunto , Comportamento do Consumidor , Estudos Transversais , Educação Médica Continuada/estatística & dados numéricos , Escolaridade , Feminino , Seguimentos , Humanos , Masculino , México , Pessoa de Meia-Idade , Prática Profissional/estatística & dados numéricos , Estudos Retrospectivos , Inquéritos e Questionários , Desemprego/estatística & dados numéricos , Universidades/estatística & dados numéricos
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