Hybrid Quality-Based Recommender Systems: A Systematic Literature Review. [PDF]
Sabiri B +3 more
europepmc +1 more source
Shared Genetic Effects and Antagonistic Pleiotropy Between Multiple Sclerosis and Common Cancers
ABSTRACT Objective Epidemiologic studies have reported inconsistent altered cancer risk in individuals with multiple sclerosis (MS). Factors such as immune dysregulation, comorbidities, and disease‐modifying therapies may contribute to this variability.
Asli Buyukkurt +5 more
wiley +1 more source
Geographic recommender systems in e-commerce based on population. [PDF]
Shili M, Sohaib O.
europepmc +1 more source
Real‐World Performance of CSF Kappa Free Light Chains in the 2024 McDonald Criteria
ABSTRACT Objective Kappa free light chains (KFLCs) in the cerebrospinal fluid (CSF) have a similar performance to CSF‐restricted oligoclonal bands (OCB) for multiple sclerosis (MS) diagnosis. To help with implementation, we set out to resolve several remaining uncertainties: (1) performance in a real‐world cohort and the 2024 McDonald criteria; (2 ...
Maya M. Leibowitz +11 more
wiley +1 more source
Memory-Efficient Deep Recommender Systems using Approximate Rotary Compositional Embedding [PDF]
Dongning Ma, Xun Jiao
openalex +1 more source
Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley +1 more source
Recommender Systems in Health Professions Education: Protocol for a Scoping Review.
Healy PM +4 more
europepmc +1 more source
A Right to Constructive Optimization: A Public Interest Approach to Recommender Systems in the Digital Services Act. [PDF]
Naudts L, Helberger N, Veale M, Sax M.
europepmc +1 more source
A Recommender System Fusing Collaborative Filtering And User'S Review Mining
Seulbi Choi, Hyunchul Ahn
openalex +2 more sources

