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A machine learning recommender system to tailor preference assessments to enhance person-centered care among nursing home residents
Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items to be a barrier to using the assessment.
A machine learning recommender system to tailor preference assessments to enhance person-centered care among nursing home residents
Nursing homes (NHs) using the Preferences for Everyday Living Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items to be a barrier to using the assessment. With a sample of 255 NH resident responses to the PELI-NH, this study used the 16 preference items from the MDS 3.0 Section F to develop a machine learning recommender system to identify additional PELI-NH items that may be important to specific residents.
The Gerontologist, doi.org/10.1093/geront/gny056
