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
Could deep learning AI be used to screen TIA clinic referral letters? Possibly.
Could deep learning AI be used to screen TIA clinic referral letters? Possibly. Stroke prevention clinics (TIA or Transient Ischaemic Attack) clinics are an important aspect of urgent care. A TIA is a risk factor for future stroke. Medical treatment needs to be started quickly and surgical options, if...
Source: agnate.co.uk
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
Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students: This study
Computer model for the cardiovascular system: development of an e-learning tool for teaching of medical students: This study combined themes in cardiovascular modelling, clinical cardiology and e-learning to create an on-line environment that would assist undergraduate medical students in understanding...
Source: biomedcentral.com
Community detection, link prediction, and layer interdependence in multilayer networks. "Complex systems are often characterized
Community detection, link prediction, and layer interdependence in multilayer networks. "Complex systems are often characterized by distinct types of interactions between the same entities. These can be described as a multilayer network where each layer represents one type of interaction. These layers...
Source: aps.org
Can we accurately classify physicians as high vs. low quality? "Medicare aims to tie 90% of reimbursement to quality measures.
Can we accurately classify physicians as high vs. low quality? "Medicare aims to tie 90% of reimbursement to quality measures. The potential for quality-linked reimbursement to incentivized improved quality of care, however, depends critically on whether physician quality can be measured reliably."
Source: healthcare-economist.com
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