00887cam0 2200253 450 E60020006054420160426140840.020100226d1993 |||||ita|0103 baitaITFortezza e temperanza dello spiritomeditazioniEnrico di Rovasenda[S. l.s. e.]stampa 1993MantovaTipografia Grassi31 p.21 cm(mm)Di Rovasenda, EnricoA600200060023070775432ITUNISOB20160426RICAUNISOBUNISOBFondo|Casavola|Opusc148824E600200060544M 102 Monografia moderna SBNMFondo|Casavola|Opusc000237Si148824CasavoladonomenleUNISOBUNISOB20100226082526.020160426140840.0petrellapFortezza e temperanza dello spirito1704093UNISOB02785nam 2200661 a 450 991015464780332120161219111435.01-322-41949-31-4522-6211-X1-4129-8437-8(CKB)2550000000112200(EBL)1207748(OCoLC)850078191(SSID)ssj0000675640(PQKBManifestationID)11418784(PQKBTitleCode)TC0000675640(PQKBWorkID)10669562(PQKB)11167933(MiAaPQ)EBC1207748(OCoLC)738380082(StDuBDS)EDZ0000085136(MiAaPQ)EBC5574556(Au-PeEL)EBL5574556(OCoLC)961847180(PPN)227909135(EXLCZ)99255000000011220020120516d1999 fy 0engur|||||||||||txtccrHandbook of marketing scales[electronic resource] multi-item measures for marketing and consumer behavior research /William O. Bearden, Richard G. Netemeyer2nd ed.Thousand Oaks, Calif. ;London SAGEc19991 online resource (xiv, 537 p.)Association for Consumer Research"Published in cooperation with the Association for Consumer Research."1-4522-2492-7 0-7619-1000-X Includes bibliographical references and indexes.Traits and individual difference variables -- Values -- Involvement, informaton processing, and price perceptions -- Reactions to advertising stimuli -- Attitudes about the performance of business firms, satisfaction and post-purchase behavior, social agencies and the marketplace -- Sales, sales management, organizational behavior, and interfirm-intrafirm issues.'The Handbook of Marketing Scales' is a compilation of multi-item, self-report measures developed and/or frequently used in consumer behavior and marketing research. Over 150 scales are included in the handbook, many of which were originally published in marketing- and consumer-related journals or conference proceedings.Association for Consumer ResearchMarketing researchConsumer behaviorResearchMarketing research.Consumer behaviorResearch.658.83Bearden William O.1945-1058137Netemeyer Richard G.1956-1058138Association for Consumer Research (U.S.)StDuBDSStDuBDSBOOK9910154647803321Handbook of marketing scales2497406UNINA03777nam 22005533 450 991100475160332120231110224120.01-83724-479-01-5231-5351-21-83953-621-7(MiAaPQ)EBC30232048(Au-PeEL)EBL30232048(CKB)25315056400041(NjHacI)9925315056400041(BIP)085652004(OCoLC)1351202484(EXLCZ)992531505640004120221116d2023 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierExplainable Artificial Intelligence in Medical Decision Support Systems1st ed.Jefferson :Institution of Engineering & Technology,2023.©2023.1 online resource (490 pages)Healthcare Technologies 1-83953-620-9 Chapter 1: Explainable artificial intelligence (XAI) in medical decision systems (MDSSs): healthcare systems perspective -- Chapter 2: Explainable artificial intelligence (XAI) in medical decision support systems (MDSS): applicability, prospects, legal implications, and challenges -- Chapter 3: Explainable Artificial Intelligence-based framework for medical decision support systems -- Chapter 4: Prototype interface for detecting mental fatigue with EEG and XAI frameworks in Industry 4.0 -- Chapter 5: XAI for medical image segmentation in medical decision support systems -- Chapter 6: XAI robot-assisted surgeries in future medical decision support systems -- Chapter 7: Prediction of erythemato squamous-disease using ensemble learning framework -- Chapter 8: Security-based explainable artificial intelligence (XAI) in healthcare system -- Chapter 9: Explainable dimensionality reduction model with deep learning for diagnosing hypertensive retinopathy -- Chapter 10: Understanding cancer patients with diagnostically influential factors using high-dimensional data embedding -- Chapter 11: Explainable neural networks in diabetes mellitus prediction -- Chapter 12: A KNN and ANN model for predicting heart diseases -- Chapter 13: Artificial Intelligence-enabled Internet of Medical Things for COVID-19 pandemic data management -- Chapter 14: A deep neural network for the identification of lead molecules in antibiotics discovery -- Chapter 15: Statistical test with differential privacy for medical decision support systems -- Chapter 16: Automated decision support system for diagnosing sleep diseases using machine intelligence techniques -- Chapter 17: XAI methods for precision medicine in medical decision support systems -- Chapter 18: The psychology of explanation in medical decision support systems.This edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues.Healthcare Technologies Medical informaticsArtificial intelligenceMedical applicationsMedical informatics.Artificial intelligenceMedical applications.610.285Imoize Agbotiname Lucky1782084Hemanth Jude1824957Do Dinh-Thuan1373621Sur Samarendra Nath1373622MiAaPQMiAaPQMiAaPQBOOK9911004751603321Explainable Artificial Intelligence in Medical Decision Support Systems4392379UNINA