An Interpretable Recommendation Model for Gerontological Care

Author:

de Lima Andre Paulino1,Dantas Laurentino Augusto1,Manzato Marcelo Garcia1,Pimentel Maria1,Orlandi Brunela2,Castro Paula3

Affiliation:

1. University of São Paulo, Brazil

2. Federal University of Western of Bahia (UFOB), Brazil

3. Federal University of São Carlos (UFSCar), Brazil

Publisher

ACM

Reference32 articles.

1. Healthcare Quality: A Concept Analysis

2. Aini Khairani Azmi Noraswaliza Abdullah and Nurul Akmar Emran. 2019. A recommender system model for improving elderly well-being: A systematic literature review. International Journal of Advances in Soft Computing and its Applications 11 2(2019) 87–108. https://tinyurl.com/azmi2019systematic Aini Khairani Azmi Noraswaliza Abdullah and Nurul Akmar Emran. 2019. A recommender system model for improving elderly well-being: A systematic literature review. International Journal of Advances in Soft Computing and its Applications 11 2(2019) 87–108. https://tinyurl.com/azmi2019systematic

3. A Hybrid Knowledge-Based and Collaborative Filtering Recommender System Model for Recommending Interventions to Improve Elderly Wellbeing

4. Saliha Irem Besik and Ferda Nur Alpaslan. 2019. RHCS - A clinical recommendation system for geriatric patients. In Heterogeneous Data Management Polystores and Analytics for Healthcare Vijay Gadepally Timothy Mattson Michael Stonebraker Fusheng Wang Gang Luo and George Teodoro(Eds.). Lecture Notes in Computer Science Vol. 11470. Springer Cham Switzerland 115–132. https://doi.org/10.1007/978-3-030-14177-6_10 Saliha Irem Besik and Ferda Nur Alpaslan. 2019. RHCS - A clinical recommendation system for geriatric patients. In Heterogeneous Data Management Polystores and Analytics for Healthcare Vijay Gadepally Timothy Mattson Michael Stonebraker Fusheng Wang Gang Luo and George Teodoro(Eds.). Lecture Notes in Computer Science Vol. 11470. Springer Cham Switzerland 115–132. https://doi.org/10.1007/978-3-030-14177-6_10

5. National Institutes of Health Consensus Development Conference Statement: Geriatric Assessment Methods for Clinical Decision-making

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