AIMC Topic: Patient Preference

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Quadruple Decision Making for Parkinson's Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine.

Journal of Parkinson's disease Jan 1, 2020
Clinical decision making for Parkinson's disease patients is supported by a combination of three distinct information resources: best available scientific evidence, professional expertise, and the personal needs and preferences of patients. All three...
Humans Machine Learning Precision Medicine Clinical Decision-Making Big Data Parkinson Disease Evidence-Based Medicine Models, Organizational Patient Preference Decision Making, Shared
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A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

The Gerontologist Jan 9, 2019
BACKGROUND AND OBJECTIVES: 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 (72) to be a barrier to using the assessment.
Humans Machine Learning Qualitative Research Interviews as Topic Logistic Models United States Patient-Centered Care Quality of Health Care Nursing Homes Patient Preference Long-Term Care
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Perceptual Effects of Adjusting Hearing-Aid Gain by Means of a Machine-Learning Approach Based on Individual User Preference.

Trends in hearing Jan 1, 2019
This study investigated a method to adjust hearing-aid gain by use of a machine-learning algorithm that estimates the optimal setting of gain parameters based on user preference indicated in an iterative paired-comparison procedure. Twenty hearing-im...
Humans Machine Learning Female Young Adult Adult Noise Double-Blind Method Sound Hearing Aids Hearing Loss Hearing Loss, Sensorineural Patient Preference Auditory Perception
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