Adult‐Onset Subacute Sclerosing Panencephalitis Presenting With Subacute Cognitive Deficits
ABSTRACT We describe the case of a 41‐year‐old man diagnosed with adult‐onset subacute sclerosing panencephalitis (SSPE). The patient presented with subacute progressive cognitive deficits and a neuropsychological profile indicating predominant frontoparietal dysfunction. MRI showed only mild parietal‐predominant cerebral atrophy.
Dennis Yeow +4 more
wiley +1 more source
Popularity is Not All Bias: Enhancing Learning-to-Rank Recommendation with Popularity Regularization
Chenxu Wang, Aodian Liu, Tao Qin
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
2P-BEnc: A two-phase information retrieval and ranking system based on the BERT encoder
Information retrieval methods have been advanced by the development of Natural Language Understanding (NLU). The development of deep neural networks was a key driver in the creation of effective Language Models (LM: statistical models trained to ...
Sunil Kumar +7 more
doaj +1 more source
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling [PDF]
Zongyao Lyu, William J. Beksi
openalex +1 more source
Listwise approach based on the cross‐correntropy for learning to rank [PDF]
Mintao Wu +4 more
openalex +1 more source
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion [PDF]
Jing Yuan +4 more
openalex +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Consistent Position Bias Estimation without Online Interventions for\n Learning-to-Rank [PDF]
Aman Agarwal +2 more
openalex +1 more source

