Therapy Decision Support Based on Recommender System Methods
We present a system for data-driven therapy decision support based on techniques from the field of recommender systems. Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender, are proposed. Both algorithms aim to predict the individual response to...
Main Authors: | Gräßer, Felix, Beckert, Stefanie, Küster, Denise, Schmitt, Jochen, Abraham, Susanne, Malberg, Hagen, Zaunseder, Sebastian |
---|---|
Other Authors: | Hindawi, |
Format: | Article |
Language: | English |
Published: |
Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
2017
|
Subjects: | |
Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-226869 http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-226869 http://www.qucosa.de/fileadmin/data/qucosa/documents/22686/8659460%20%281%29.pdf |
Similar Items
-
Effects of perceptions of care, medical advice, and hospital quality on patient satisfaction after primary total knee replacement: A cross-sectional study
by: Schaal, Tom, et al.
Published: (2017) -
Site-Specific Variations in Bone Mineral Density under Systemic Conditions Inducing Osteoporosis in Minipigs
by: Schulz, Matthias C., et al.
Published: (2017) -
Cutaneous Autonomic Pilomotor Testing to Unveil the Role of Neuropathy Progression in Early Parkinson’s Disease (CAPTURE PD): Protocol for a Multicenter Study
by: Siepmann, Timo, et al.
Published: (2017) -
The peripheral and Central Humphrey visual field – morphological changes during aging
by: Rutkowski, Paul, et al.
Published: (2017) -
Time frequency analysis of olfactory induced EEG-power change
by: Schriever, Valentin Alexander, et al.
Published: (2017)