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001469705 001__ 1469705
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001469705 019__ $$a1382694049
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001469705 020__ $$a3031100670$$q(electronic bk.)
001469705 020__ $$z9783031100666
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001469705 0247_ $$a10.1007/978-3-031-10067-3$$2doi
001469705 035__ $$aSP(OCoLC)1382526152
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001469705 24500 $$aPractical guide to simulation in delivery room emergencies /$$cGilda Cinnella, Renata Beck, Antonio Malvasi, editors.
001469705 264_1 $$aCham :$$bSpringer,$$c[2023]
001469705 264_4 $$c©2023
001469705 300__ $$a1 online resource (xxvii, 1036 pages) :$$billustrations (chiefly color)
001469705 336__ $$atext$$btxt$$2rdacontent
001469705 337__ $$acomputer$$bc$$2rdamedia
001469705 338__ $$aonline resource$$bcr$$2rdacarrier
001469705 5050_ $$aIntro -- Foreword -- Acknowledgments -- Contents -- Contributors -- Part I: Fundamentals of Simulation -- 1: Simulation in Obstetric: From the History to the Modern Applications -- 1.1 Introduction -- 1.2 History of Obstetrical Simulation -- 1.3 The Twentieth Century Became a "Dark Age" for Simulation -- 1.4 The Role of Obstetrical Simulation Today -- 1.5 Future Perspectives -- 1.6 Conclusions -- References -- 2: The Role of Simulation in Obstetric Schools in the UK -- 2.1 Introduction -- 2.2 The History of Obstetric Simulation Training
001469705 5058_ $$a2.3 Simulation in UK Obstetrics and Gynaecology Training Programme -- 2.4 Simulation Training in Practice -- 2.5 Low-Fidelity Simulation -- 2.6 High-Fidelity Simulation -- 2.7 The Application of Simulation Training -- 2.8 Beyond the Technical Skills -- 2.9 Conclusion -- References -- 3: Ontologies, Machine Learning and Deep Learning in Obstetrics -- 3.1 Integrated Care Pathways -- 3.1.1 Introduction -- 3.1.2 Artificial Intelligence and SaMD -- 3.1.2.1 Software as a Medical Device -- 3.1.2.2 Software as a Medical Device: Digital Therapies
001469705 5058_ $$a3.1.2.3 Artificial Intelligence and Software as a Medical Devices -- FDA Artificial Intelligence/Machine Learning Action Plan -- The State of Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms: An Online Database -- 3.1.3 Pathology Innovation Collaborative Community (PICC) -- 3.1.4 Standard and Healthcare -- 3.1.4.1 The Clinical Element Model (CEM) -- 3.1.4.2 Electronic Medical Records (EMR) -- 3.1.4.3 Electronic Health Records (EHR) -- 3.1.4.4 openEHR -- 3.1.4.5 Health Level Seven (HL7) -- 3.1.4.6 Unified Medical Language System (UMLS) -- 3.1.4.7 CEN/ISO EN13606
001469705 5058_ $$a3.1.5 Artificial Intelligence is the Way Forward in Obstetrics -- 3.2 Ontologies -- 3.2.1 Lists, Thesauri, and Taxonomies -- 3.2.2 How Ontologies Work -- 3.2.3 Particularities of Ontologies in the Medical Domain -- 3.2.4 Ontologies in Healthcare, Medical Data Collection Systems, and Their Use with Ontology-Based Symbolic AI Methods -- 3.2.5 Ontology Software Language, Ontology Editor, and Ontology Reasoner -- 3.2.6 New Frontiers for Ontology Reasoning from Symbolic AI to Non-symbolic AI -- 3.3 Machine Learning -- 3.3.1 Supervised Machine Learning Algorithms -- 3.3.1.1 Classification
001469705 5058_ $$aConfusion Matrix -- Accuracy -- Precision -- Recall or Sensitivity -- Specificity -- Class Imbalance Problem -- Ensemble Techniques -- 3.3.1.2 Regression -- 3.3.1.3 Supervised Learning -- Linear Regression and Logistic Regression (and Variants!) -- Decision Tree and Random Forest Classifier -- Naïve Bayes Classifier -- Support Vector Machines (SVM) -- K-Nearest Neighbors (KNN) -- 3.3.2 Unsupervised Machine Learning Algorithms -- 3.3.2.1 Clustering -- Measuring the Clustering Performance -- Silhouette Analysis -- Analysis of Silhouette Score -- Calculating Silhouette Score
001469705 506__ $$aAccess limited to authorized users.
001469705 520__ $$aIn this book the use of hybrid simulation in delivery room emergencies is described and shown. The use of a patient actor combined with a task trainer within the same session substantially improve the training for practical management of intrapartum emergencies in real life, reducing the risk of failure of operative vaginal delivery and of related adverse events, including perinatal or maternal complications. Furthermore, simulation with high reality computerized mannequin and scenography of emergency situation can improve technical and manual skills of the participants. For this book and the related videos, a new generation of mannequins suitable for both clinical manoeuvres and ultrasound examination is used to simulate all clinical scenarios of emergency that can happen in the delivery room for both the mother and the child. This unique book is a useful tool for medical students, residents, practicing pediatricians, anesthetists, obstetricians and all health care professionals working in the delivery room in their ability to deal with critical and emergency situations with safety and good medical practice.
001469705 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 26, 2023).
001469705 650_0 $$aEmergency medical personnel$$xTraining of.
001469705 650_0 $$aLabor (Obstetrics)$$xComplications$$xSimulation games.
001469705 655_0 $$aElectronic books.
001469705 7001_ $$aCinnella, Gilda,$$eeditor.
001469705 7001_ $$aBeck, Renata,$$eeditor.
001469705 7001_ $$aMalvasi, Antonio,$$eeditor.
001469705 77608 $$iPrint version: $$z3031100662$$z9783031100666$$w(OCoLC)1322812160
001469705 852__ $$bebk
001469705 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-10067-3$$zOnline Access$$91397441.1
001469705 909CO $$ooai:library.usi.edu:1469705$$pGLOBAL_SET
001469705 980__ $$aBIB
001469705 980__ $$aEBOOK
001469705 982__ $$aEbook
001469705 983__ $$aOnline
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