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(Nursing Research[TA])
3,937 results
  • Machine Learning Methods for Identifying Critical Data Elements in Nursing Documentation. [Journal Article]
  • NRNurs Res 2018 Aug 28
  • Bose E, Maganti S, … Monsen KA
  • CONCLUSIONS: Using mRMR as a feature selection technique, out of 206 features, 50 features were selected with scores greater than zero and generalized linear model (GLM) applied on the 50 features achieved highest accuracy of 86.2% on a held-out test set. Using glmnet as a feature selection technique and obtaining feature importance, 63 features had importance scores greater than zero and GLM applied on them achieved the highest accuracy of 95.5% on a held-out test set.Feature selection techniques show promise towards reducing PHN documentation burden by identifying the most critical data elements needed to predict risk status. Further studies to refine the process of feature selection can aid in informing public health nurses' focus on client-specific and targeted interventions in the delivery of care.
  • Assessing Risk of HIV Associated Neurocognitive Disorder. [Journal Article]
  • NRNurs Res 2018 Aug 02
  • Cummins D, Waters D, … O'Connor CC
  • CONCLUSIONS: Twenty per cent (20%) of PLHIV may develop HAND, a treatable condition. The use of a modified Delphi method led to the successful development of two risk assessment tools to identify those at risk of HAND. The initial assessment tool may be used as a precursor to formal assessment by medical and nursing staff, while the annual monitoring tool may assist community-based health professionals in their ongoing assessment of risk of HAND in PLHIV, facilitating early formal medical review for this condition.
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