Predicting students’ academic progress and related attributes in first-year medical students: an analysis with artificial
"Background Dropout and poor academic performance are persistent problems in medical schools in emerging economies. Identifying at-risk students early and knowing the factors that contribute to their success would be useful for designing educational interventions. Educational Data Mining (EDM) methods...
Source: biomedcentral.com
Using Markov chain model to evaluate medical students’ trajectory on progress tests and predict USMLE step 1 scores---a
Background Medical students must meet curricular expectations and pass national licensing examinations to become physicians. However, no previous studies explicitly modeled stages of medical students acquiring basic science knowledge. In this study, we employed an innovative statistical model to characterize...
Source: biomedcentral.com
A smart jumpsuit could track development in at-risk babies
A smart jumpsuit could track development in at-risk babies: A smart jumpsuit for babies can monitor their movement, and may be able to help spot any potential mobility issues early on.
Source: newscientist.com
The Hunt file: doctors' dossier of patients 'put at risk' by health secretary: Medics compile list of names whose lives,
The Hunt file: doctors' dossier of patients 'put at risk' by health secretary: Medics compile list of names whose lives, they say, were put in danger because they were misled by Jeremy Hunt into thinking hospitals do not provide 24/7 care
Source: theguardian.com
RSS feed