Results 81 to 90 of about 30,482 (307)
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Adaptive conversational AI systems in high-stakes domains require rigorous architectural validation prior to deployment. However, existing evaluation approaches often fail to distinguish which system-level properties can be reliably assessed under fully ...
Kesara Harisara Punchihewa +4 more
doaj +1 more source
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw +5 more
wiley +1 more source
Identifiability of the Stochastic Frontier Models [PDF]
This paper examines the identifiability of the standard single-equation stochastic frontier models with uncorrelated and correlated error components giving, inter alia, mathematical content to the notion of “near-identifiability” of a statistical model ...
Das, Arabinda, Bandyopadhyay, Debdas
core
Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
A note on the identifiability of certain latent class models [PDF]
Wiering (2005, Statistics and Probability Letters, 75, 211-218) provides conditions for the identifiability of a class of latent models. Here we derive an alternative more general method of proving this result, which is based on standard identi ...
Cole, Diana J.
core
Modeling Without a Gold Standard: Stratification with Stratum-Dependent Parameters
Bayesian latent-class models have been widely applied for assessing the performance of diagnostic tests in the absence of a gold standard. We provide a short discussion on identifiability issues appearing under the absence of a gold standard, and ...
Francisco Louzada +5 more
doaj +1 more source
Identifying non-identifiability
<em> This is a second post in my series on taming divergences in Stan models, see the first post in the series for a general introduction. Also see guide to Stan warnings </em> <strong> Standard caveat: </strong> <em> I am not an expert on Stan, I consider myself just an advanced user who likes to explain things.
openaire +1 more source
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang +13 more
wiley +1 more source
Parameter identifiability analysis.
Before conducting the Bayesian calibration of the cgABM against the in vitro experimental data, we perform a parameter identifiability analyses. To this end, we make use of the cgABM with a set of “true’’ parameter values to generate in silico data.
Jianchen Yang (11127608) +6 more
core +1 more source

