"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. 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) 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 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 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. 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