00738nam0-22002531i-450-99000359292040332120100722173442.0000359292FED01000359292(Aleph)000359292FED0100035929220030910d1944----km-y0itay50------baitay-------001yy<<La >>politica estera dell'Italia (1871-191 4).Gaetano Salvenini.Firenzes.e.1944Salvemini,Gaetano<1873-1957>312271ITUNINARICAUNIMARCBK990003592920403321SE 011.05.016-014380DECSEDECSEPolitica estera dell'Italia (1871-191 4)493939UNINA05028nas 2201249-a 450 99619967700331620240413021614.01609-7645(CKB)974392608093(CONSER)---00203653-(EXLCZ)9997439260809320000811b20002005 -f- -engtxtrdacontentcrdamediacrrdacarrierThe DAC journalParis, France OECDc2000-c20051 online resourceInternational developmentRefereed/Peer-reviewedTitle from cover."There will be four issues a year. The first will be the Development co-operation report; the remaining three issues will gather together in-depth country reviews of each DAC member's development co-operation policies and programmes."Has supplements.Print version: DAC journal (Organisation for Economic Co-operation and Development. Development Assistance Committee) 1563-3152 (DLC) 00203653 (OCoLC)44772982 International development (Organisation for Economic Co-operation and Development)Development Assistance Committee journalDAC JOURNALOECD DAC JOURNAL ON DEVELOPMENT - DEVELOPMENT ASSISTANCE COMMITTEEDAC j.Economic assistanceDeveloping countriesPeriodicalsTechnical assistanceDeveloping countriesPeriodicalsAide économiquePays en voie de développementPériodiquesAssistance techniquePays en voie de développementPériodiquesPays en développementeclasOrganisation de coopération et de développement économiqueseclasPublications périodiqueseclasDonnées statistiqueseclasOCDE CAD = Comité d'aide au développementeclasAide au développementeclasdevelopment aideurovocendeveloping countrieseurovoceneconomic developmenteurovocensocial developmenteurovocentechnological changeeurovocenaide au développementeurovocfrpays en développementeurovocfrdéveloppement économiqueeurovocfrdéveloppement socialeurovocfrchangement technologiqueeurovocfrEconomic assistancefast(OCoLC)fst00901592Technical assistancefast(OCoLC)fst01144732EntwicklungszusammenarbeitgndOntwikkelingssamenwerkinggttPolitique gouvernementalerasuqamDéveloppement économiquerasuqamCoopération internationalerasuqamAide au développementrasuqamAide économiquerasuqamEntwicklungszusammenarbeitswdDeveloping countriesPeriodicalsPays en voie de développementPériodiquesDeveloping countriesfastPays en développementrasuqamZeitschrift.Periodicals.fastPeriodicals.lcgftInternet resources.localRessource Internet (Descripteur de forme)rasuqamPériodique électronique (Descripteur de forme)rasuqamZeitschriftswdEconomic assistanceTechnical assistanceAide économiqueAssistance techniquePays en développement.Organisation de coopération et de développement économiques.Publications périodiques.Données statistiques.OCDE CAD = Comité d'aide au développement.Aide au développement.development aid.developing countries.economic development.social development.technological change.aide au développement.pays en développement.développement économique.développement social.changement technologique.Economic assistance.Technical assistance.EntwicklungszusammenarbeitOntwikkelingssamenwerking.Politique gouvernementaleDéveloppement économiqueCoopération internationaleAide au développementAide économiqueEntwicklungszusammenarbeit.Organisation for Economic Co-operation and Development.Development Assistance Committee.JOURNAL996199677003316exl_impl conversionThe DAC journal2393830UNISA04860nam 22007215 450 991058350480332120251113200035.0981-19-2057-510.1007/978-981-19-2057-8(MiAaPQ)EBC7041893(Au-PeEL)EBL7041893(CKB)24238226900041(PPN)263899322(OCoLC)1336401928(DE-He213)978-981-19-2057-8(EXLCZ)992423822690004120220706d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPrognostic Models in Healthcare: AI and Statistical Approaches /edited by Tanzila Saba, Amjad Rehman, Sudipta Roy1st ed. 2022.Singapore :Springer Nature Singapore :Imprint: Springer,2022.1 online resource (515 pages)Studies in Big Data,2197-6511 ;109Print version: Saba, Tanzila Prognostic Models in Healthcare: AI and Statistical Approaches Singapore : Springer,c2022 9789811920561 Includes bibliographical references.Segmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions -- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging -- Skin Lesion Classification From Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach -- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention -- Health monitoring methods in heart diseases based on data mining approach, a directional survey -- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's -- Skin Lesion Detection Using Recent Machine Learning Approaches -- Improving monitoring and controling parameters for Alzheimer's patients based on IoT -- A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network -- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review.This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.Studies in Big Data,2197-6511 ;109Computational intelligenceMedical informaticsComputer simulationQuantitative researchNeural networks (Computer science)Computational IntelligenceHealth InformaticsComputer ModellingData Analysis and Big DataMathematical Models of Cognitive Processes and Neural NetworksComputational intelligence.Medical informatics.Computer simulation.Quantitative research.Neural networks (Computer science)Computational Intelligence.Health Informatics.Computer Modelling.Data Analysis and Big Data.Mathematical Models of Cognitive Processes and Neural Networks.610.285Saba TanzilaRehman AmjadRoy SudiptaMiAaPQMiAaPQMiAaPQBOOK9910583504803321Prognostic models in healthcare2997971UNINA