Results 141 to 150 of about 73,191 (271)

The rising safety concerns of deep recommender systems. [PDF]

Innovation (Camb)
Shen H, Liu Y, Zhang K, Cao Q, Cheng X.
europepmc   +1 more source

A survey on multi-objective recommender systems. [PDF]

Front Big Data, 2023
Jannach D, Abdollahpouri H.
europepmc   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
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

Anonymous transactional dataset in a local food and beverages (F&B) micro-small-medium enterprise (MSME) for recommender systems. [PDF]

Data Brief
Engel MM, Gaol FL, Kurniawan A, Budiharto W.   +3 more
europepmc   +1 more source

A review on individual and multistakeholder fairness in tourism recommender systems. [PDF]

Front Big Data, 2023
Banerjee A, Banik P, Wörndl W.
europepmc   +1 more source

Characterization of Clinical Phenotype to Glial Fibrillary Acidic Protein Concentrations in Alexander Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman, Asako Takanohashi, Joshua Y. Joung, Geraldine W. Liu, Kaley Arnold, Amy Pizzino, Walter Faig, Sarah Woidill, Sona Narula, Adeline L. Vanderver   +9 more
wiley   +1 more source

A social information sensitive model for conversational recommender systems. [PDF]

PeerJ Comput Sci
Mohammed A, Zhang M, Amran GA, Alawadh HM, Wang R, Alabrah A, Al-Bakhrani AA.   +6 more
europepmc   +1 more source

Multi-list interfaces for recommender systems: survey and future directions. [PDF]

Front Big Data, 2023
Loepp B.
europepmc   +1 more source

Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan, Elizabeth I. Pierpont, Amena S. Fine, Reena V. Kartha   +3 more
wiley   +1 more source