Sustained decrease in latent safety threats through regular interprofessional in situ simulation training of neonatal emergencies
Simulation training at trainees' actual workplace offers benefits over traditional simulation-based team training. We prospectively investigated whether regular in situ simulation training of neonatal emergencies in an interprofessional and interdisciplinary team could be used to identify and rectif...
Source: nih.gov
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
The role of motivational profiles in learning problem-solving and self-assessment skills with video modeling examples Lisette
In the current study, we examine the role of situation-specific motivational profiles in the effectiveness of video modeling examples for learning problem-solving and self-assessment accuracy in the domain of biology. A sample of 342 secondary school students participated in our study. Latent profile...
Source: springer.com
Using the right tools for the job
Since this blog has been up I've fiddled with some text analysis stuff by analysing the text and making recommendations for similar blog entries. Did it all in PHP and MySQL just to understand how the algorithms work. Eventually it started to take about 5 hours to: tokenise and stemming the textcalculate...
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics.
Gaining insights with Natural Language Processing of Reddit Data to Evaluate Dermatology Patient Experiences and Therapeutics. "There is a lack of research studying patient-generated data on Reddit, one of the world’s most popular forums with active users interested in dermatology. Techniques within...
Source: sciencedirect.com
Understanding Latent Dirichlet Allocation with Gibbs Sampling by coding it from scratch. Latent Dirichlet Allocation (LDA)
Understanding Latent Dirichlet Allocation with Gibbs Sampling by coding it from scratch. Latent Dirichlet Allocation (LDA) is a machine-learning technique that by the magic of many (many many) small calculations it can detect patterns in data and cluster documents, for example, into similar topics. ...
Source: github.io
Could analysing personalised learning be better matched if physicians are first classified into competency groups? Using
Could analysing personalised learning be better matched if physicians are first classified into competency groups? Using latent class analysis to identify physician competency reveals four distinct subgroups in this cross-sectional study in China. The survey tool is large at over 100 items long but included...
Source: biomedcentral.com
UK needs to act urgently to secure NHS data for British public, report warns: Algorithms based on NHS records could seed
UK needs to act urgently to secure NHS data for British public, report warns: Algorithms based on NHS records could seed an ‘entirely new industry’ in AI-based diagnostics and mint billions for tech companies, strategic review reveals. "Sir John Bell, a professor of medicine at Oxford university...
Source: theguardian.com
"Startups are better at detecting and unlocking emerging and latent demand. But they often stumble at scaling their proof
"Startups are better at detecting and unlocking emerging and latent demand. But they often stumble at scaling their proof of concept, not only because they’re often doing it for the first time, but also because the skills necessary for creating are not the same as scaling." Eddie Yoon, Steve Hughes....
Source: hbr.org
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