Results 51 to 60 of about 545,718 (303)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Speech signal analysis and pattern recognition in diagnosis of dysarthria
Annals of Indian Academy of Neurology, 2017 Background: Dysarthria refers to a group of disorders resulting from disturbances in muscular control over the speech mechanism due to damage of central or peripheral nervous system.
Minu George Thoppil +3 more
doaj +1 more source
Attention-based Wav2Text with Feature Transfer Learning
, 2017 Conventional automatic speech recognition (ASR) typically performs multi-level pattern recognition tasks that map the acoustic speech waveform into a hierarchy of speech units.
Nakamura, Satoshi +2 more
core +1 more source
Speech Pattern Based Black-Box Model Watermarking for Automatic Speech Recognition
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 5 pages, 2 figures. Acceptted by 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Chen, Haozhe +5 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn +4 more
wiley +1 more source
Developmental Disorders in Children Recently Diagnosed With Cancer
Pediatric Blood &Cancer, EarlyView.ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag +5 more
wiley +1 more source
Entropy, 2022 In this article, the concept (i.e., the mathematical model and methods) of computational phonetic analysis of speech with an analytical description of the phenomenon of phonetic fusion is proposed.
Viacheslav Kovtun +2 more
doaj +1 more source
A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition [PDF]
, 1997 A technique is presented which combines rule-based and neural network pattern recognition methods in an integrated system in order to perform learning and recognition of hand-written characters and gestures in realtime. The GesRec system is introduced
Craven, Michael P. +3 more
core
Fuzzy sets in pattern recognition, image analysis and automatic speech recognition [PDF]
Applications of Mathematics, 1985 This paper attempts to discuss and survey some of the methodologies using fuzzy sets that have been suggested for fuzzy pattern recognition, and techniques for image processing and speech recognition.
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source