LEADER 03523nam 2200685 a 450 001 9910463951903321 005 20200520144314.0 010 $a1-283-14377-1 010 $a9786613143778 010 $a981-4280-05-4 035 $a(CKB)3360000000001323 035 $a(EBL)731161 035 $a(OCoLC)741492809 035 $a(SSID)ssj0000523434 035 $a(PQKBManifestationID)12175219 035 $a(PQKBTitleCode)TC0000523434 035 $a(PQKBWorkID)10540267 035 $a(PQKB)10811650 035 $a(MiAaPQ)EBC731161 035 $a(WSP)00007370 035 $a(Au-PeEL)EBL731161 035 $a(CaPaEBR)ebr10480292 035 $a(CaONFJC)MIL314377 035 $a(EXLCZ)993360000000001323 100 $a20110712d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aInnovations in neonatal-perinatal medicine$b[electronic resource] $einnovative technologies and therapies that have fundamentally changed the way we deliver care for the fetus and the neonate /$feditors Oommen Mathew, Jatinder Bhatia 210 $aHackensack, N.J. $cWorld Scientific$d2011 215 $a1 online resource (350 p.) 300 $aDescription based upon print version of record. 311 $a981-4280-04-6 320 $aIncludes bibliographical references and index. 327 $aContents; Preface; List of Editors and Contributors; Chapter 1 Medical Innovations in the 20th Century and Their Impact on Neonatal-Perinatal Medicine: A Global Perspective; Chapter 2 Assisted Reproductive Technologies; Chapter 3 Advances in Fetal Diagnostics for Genomic Alterations; Chapter 4 Fetal Imaging in Detection of Congenital Heart Disease; Chapter 5 Imaging the Newborn Brain; Chapter 6 Monitoring and Intervention Therapies in Neonatal Intensive Care Units; Chapter 7 Regulation of Neonatal Environment 2010; Chapter 8 Advances in Neonatal Nutritional Care 327 $aChapter 9 Advances in Ventilatory Care of the NeonateChapter 10 Respiratory Distress Syndrome: Impact of Surfactant Therapy and Antenatal Steroid; Chapter 11 Antibiotics and Other Miracle Drugs; Chapter 12 Impact of Surgical Innovations; Index 330 $aInnovations in technology and new therapies have changed the face of medicine in the last few decades. These include advances in fetal diagnosis (preimplantation genetics, chorionic villous sampling and amniocentesis), drugs that have been developed to treat unique conditions in neonates such as respiratory distress syndrome (surfactant) and pulmonary hypertension (inhaled nitric oxide), as well as technological advances and interventions resulting in diagnostic (ultrasounds and MRI) and therapeutic interventions (intrauterine transfusion to ECMO). Research in fertility treatments have resulte 606 $aNewborn infants$xMedical care 606 $aFetus$xDiseases 606 $aNewborn infants$xDiseases 606 $aPerinatology 606 $aNeonatology 608 $aElectronic books. 615 0$aNewborn infants$xMedical care. 615 0$aFetus$xDiseases. 615 0$aNewborn infants$xDiseases. 615 0$aPerinatology. 615 0$aNeonatology. 676 $a618.32 701 $aMathew$b Oommen$01000649 701 $aBhatia$b Jatinder$01000650 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910463951903321 996 $aInnovations in neonatal-perinatal medicine$92296872 997 $aUNINA LEADER 07067nam 22008895 450 001 9910483134103321 005 20251226195844.0 010 $a3-642-03915-4 024 7 $a10.1007/978-3-642-03915-7 035 $a(CKB)1000000000772846 035 $a(SSID)ssj0000316001 035 $a(PQKBManifestationID)11229635 035 $a(PQKBTitleCode)TC0000316001 035 $a(PQKBWorkID)10263059 035 $a(PQKB)10300352 035 $a(DE-He213)978-3-642-03915-7 035 $a(MiAaPQ)EBC3064481 035 $a(PPN)139955224 035 $a(BIP)27425661 035 $a(EXLCZ)991000000000772846 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Intelligent Data Analysis VIII $e8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31 - September 2, 2009, Proceedings /$fedited by Niall M. Adams, Céline Robardet, Arno Siebes, Jean-Francois Boulicaut 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (XIII, 418 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v5772 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-03914-6 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- Intelligent Data Analysis in the 21st Century -- Analyzing the Localization of Retail Stores with Complex Systems Tools -- Selected Contributions 1 (Long Talks) -- Change (Detection) You Can Believe in: Finding Distributional Shifts in Data Streams -- Exploiting Data Missingness in Bayesian Network Modeling -- DEMScale: Large Scale MDS Accounting for a Ridge Operator and Demographic Variables -- How to Control Clustering Results? Flexible Clustering Aggregation -- Compensation of Translational Displacement in Time Series Clustering Using Cross Correlation -- Context-Based Distance Learning for Categorical Data Clustering -- Semi-supervised Text Classification Using RBF Networks -- Improving k-NN for Human Cancer Classification Using the Gene Expression Profiles -- Subgroup Discovery for Test Selection: A Novel Approach and Its Application to Breast Cancer Diagnosis -- Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases -- Leveraging Call Center Logs for Customer Behavior Prediction -- Condensed Representation of Sequential Patterns According to Frequency-Based Measures -- ART-Based Neural Networks for Multi-label Classification -- Two-Way Grouping by One-Way Topic Models -- Selecting and Weighting Data for Building Consensus Gene Regulatory Networks -- Incremental Bayesian Network Learning for Scalable Feature Selection -- Feature Extraction and Selection from Vibration Measurements for Structural Health Monitoring -- Zero-Inflated Boosted Ensembles for Rare Event Counts -- Selected Contributions 2 (Short Talks) -- Mining the Temporal Dimension of the Information Propagation -- Adaptive Learning from Evolving Data Streams -- An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset -- Which Distance for the Identification and the Differentiation of Cell-Cycle Expressed Genes? -- Ontology-Driven KDD Process Composition -- Mining Frequent Gradual Itemsets from Large Databases -- Selecting Computer Architectures by Means of Control-Flow-Graph Mining -- Visualization-Driven Structural and Statistical Analysis of Turbulent Flows -- Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework -- Multi-Optimisation Consensus Clustering -- Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences -- Measure of Similarity and Compactness in Competitive Space -- Bayesian Solutions to the Label Switching Problem -- Efficient Vertical Mining of Frequent Closures and Generators -- Isotonic Classification Trees. 330 $aThe general theme of the Intelligent Data Analysis (IDA) Symposia is the - telligent use of computers in complex data analysis problems. The ?eld has matured su'ciently that some re-considerationof our objectives was required in order to retain the distinctiveness of IDA. Thus, in addition to the more tra- tional algorithm- and application-oriented submissions, we sought submissions that speci'cally focus on aspects of the data analysis process. For example, - teractive tools to guide and support data analysis in complex scenarios. With the increasingavailabilityofautomaticallycollecteddata,toolsthatintelligently support and assist human analysts are becoming important. IDA-09, the 8th International Symposium on Intelligent Data Analysis, took place in Lyon from August 31 to September 2, 2009. The invited speakers were PaulCohen(UniversityofArizona,USA)andPabloJensen(ENSLyon,France). The meeting received more than 80 submissions. The Programme Committee selected 33 submissions for publication: 18 for full oral presentation, and 15 for poster and short oralpresentation. Eachcontribution was evaluated by three expertsandhas beenallocated12pagesintheproceedings.Theacceptedpapers cover a broad range of topics and applications, and include contributions on the re'ned focus of IDA. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v5772 606 $aComputer science 606 $aInformation storage and retrieval systems 606 $aData mining 606 $aPattern recognition systems 606 $aArtificial intelligence$xData processing 606 $aBusiness information services 606 $aTheory of Computation 606 $aInformation Storage and Retrieval 606 $aData Mining and Knowledge Discovery 606 $aAutomated Pattern Recognition 606 $aData Science 606 $aIT in Business 615 0$aComputer science. 615 0$aInformation storage and retrieval systems. 615 0$aData mining. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence$xData processing. 615 0$aBusiness information services. 615 14$aTheory of Computation. 615 24$aInformation Storage and Retrieval. 615 24$aData Mining and Knowledge Discovery. 615 24$aAutomated Pattern Recognition. 615 24$aData Science. 615 24$aIT in Business. 676 $a006.31222gerDNB 686 $aDAT 703f$2stub 686 $aMAT 620f$2stub 686 $aSS 4800$2rvk 701 $aAdams$b Niall M.$f1968-$01694572 701 $aRobardet$b Celine$01757043 701 $aSiebes$b Arno$01757044 701 $aBoulicaut$b Jean-Francois$01757045 712 12$aInternational Symposium on Intelligent Data Analysis. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483134103321 996 $aAdvances in intelligent data analysis VIII$94194681 997 $aUNINA