Neural Information Processing [[electronic resource] ] : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part II / / edited by Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu

• Record Nr.: UNISA996465374003316
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• ISBN: 3-319-46672-0
• Edizione: [1st ed. 2016.]
• Descrizione fisica: 1 online resource (XIX, 739 p. 252 illus.)
• Collana: Theoretical Computer Science and General Issues, , 2512-2029 ; ; 9948
• Disciplina: 006.4
• Soggetti: Pattern recognition systems; Computer vision; Artificial intelligence; Computer science; Data mining; Application software; Automated Pattern Recognition; Computer Vision; Artificial Intelligence; Theory of Computation; Data Mining and Knowledge Discovery; Computer and Information Systems Applications
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Deep and reinforcement learning -- Big data analysis -- Neural data analysis.-Robotics and control -- Bio-inspired/energy efficient information processing.-Whole brain architecture -- Neurodynamics -- Bioinformatics -- Biomedical engineering -- Data mining and cybersecurity workshop -- Machine learning.-Neuromorphic hardware -- Sensory perception -- Pattern recognition -- Social networks -- Brain-machine interface -- Computer vision -- Time series analysis.-Data-driven approach for extracting latent features -- Topological and ; graph based clustering methods -- Computational intelligence -- Data mining -- Deep neural networks -- Computational and cognitive neurosciences -- Theory and algorithms.
• Sommario/riassunto: The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms. .

Neonatal Screening for Critical Congenital Heart Defects

• Record Nr.: UNINA9910346681703321
• Autore: Ewer Andrew
• Pubbl/distr/stampa: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• ISBN: 3-03921-049-1
• Descrizione fisica: 1 electronic resource (98 p.)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Sommario/riassunto: Critical congenital heart defects (CCHDs) are potentially life-threatening malformations that remain a significant cause of neonatal mortality and morbidity. Failure to diagnose these conditions shortly after birth may result in acute cardiovascular collapse and death. The identification of CCHDs by routine newborn clinical examination is routine in many countries, but consistently misses over a third of cases, and, although antenatal ultrasound screening can be very effective in early diagnosis, the provision and accuracy of ultrasound screening is highly variable. As most CCHDs present with mild cyanosis (hypoxaemia), which is frequently clinically undetectable, pulse oximetry is a rapid, simple, painless method of accurately identifying hypoxaemia, which has gained popularity as a screen for CCHD. This Special Issue of the International Journal of Neonatal Screening, devoted to ""Neonatal Screening for Critical Congenital Heart Defects (CCHDs)"", will consider the evidence for CCHD screening with pulse oximetry, the acceptability and cost-effectiveness of this intervention, the additional non-cardiac conditions which it may also identify, and international experiences of introducing CCHD screening across the globe.