Experimental investigations on children's early structural representation: a view from classifier phrases in Mandarin. [PDF]
Zhao S, Zhou P.
europepmc +1 more source
Bi‐ and Mono‐Allelic RFC1 Expansion in a North American Cohort With Idiopathic Axonal Neuropathy
ABSTRACT Objective RFC1 biallelic repeat expansion is increasingly recognized as a cause of chronic idiopathic axonal polyneuropathy (CIAP), but it remains challenging to know who to test. This study aims to determine the prevalence of biallelic and monoallelic RFC1 expansions and their corresponding neuropathy phenotypes in CIAP patients and identify ...
Amro M. Stino +25 more
wiley +1 more source
Two-Step Error-Controlling Classifiers With Application to Cost-Effective Disease Diagnosis. [PDF]
Zhu K +3 more
europepmc +1 more source
ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
Context-Aware Multilevel Classification of Semantic Relations in Drug-Adverse Drug Reaction (ADR) Networks-Predicting Drug-Induced Liver Injury (DILI) as a Case Study. [PDF]
Vos R, van Mulligen EM, Kors JA.
europepmc +1 more source
How advances in machine learning drive early detection and risk prediction of early-onset colorectal cancer. [PDF]
Murthy SS, Schuh A.
europepmc +1 more source
A novel hybrid model for identifying the most informative instances for improving text data classification. [PDF]
Abdelwahab A, Salama M.
europepmc +1 more source
A nonlinear Takagi-Sugeno-Kang fuzzy system based on information granules for chemical engineering fault diagnosis. [PDF]
Yin R +5 more
europepmc +1 more source
Decoupling the Dual Impact of NISQ Noise on Quantum Adversarial Robustness. [PDF]
Wang H +5 more
europepmc +1 more source
Calibrated early-warning models with fairness auditing and selective prediction for course withdrawal risk: Evidence from OULAD. [PDF]
Wu S, Duan J, Luo M.
europepmc +1 more source

