Application of artificial neural networks in assigned leadership and academic success in medical graduates.

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.

Characteristics among six generations of medicine graduates.

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).