e.g. mhealth
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The keyword list disregarded structure matches such as “bedsore: none,” and the negation detection mainly captures instances of text that mentioned “no bedsore observed.” However, instances of negation in more complex textual descriptions may be missed, thus creating false positives in the identified 2976 HAPI stays. A manual inspection of the 1175 case stays labeled through the PI keyword mentions route is left for future work.
JMIR Med Inform 2023;11:e40672
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From the Cochrane Library: Foam Surfaces for Preventing Pressure Ulcers
bedsore
JMIR Dermatol 2023;6:e34112
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Using Machine Learning Technologies in Pressure Injury Management: Systematic Review
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#1 pressure ulcer* OR pressure injur* OR pressure sore* OR pressure damage OR decubitus ulcer* OR decubitus sore* OR bedsore* OR bed sore*
AND
#2 artificial intelligence OR machine learning OR neural network* OR support vector machine OR natural language processing OR Naive Bayes OR bayesian learning OR support vector* OR random forest* OR boosting OR deep learning OR machine intelligence OR computational intelligence OR computer reasoning
This review included studies that met the following criteria: (1) used
JMIR Med Inform 2021;9(3):e25704
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