LEADER 01386nam0-2200421---450 001 990005649560203316 005 20210827202612.0 035 $a000564956 035 $aUSA01000564956 035 $a(ALEPH)000564956USA01 035 $a000564956 100 $a20040701d1960----|||y0itaa50------ba 101 $aita 102 $ait 105 $a0 00||| 200 1 $aTrattato di psicologia$fa cura di David e Risa Katz$g[traduzione di Bruno Callieri] 210 $aTorino$cBoringhieri$d1960 215 $a694 p.$d24 cm 225 2 $aTesti e manuali della scienza contemporanea. Serie di psicologia e psichiatria 300 $aTrad. di: Handbuch der Psychologie. 410 0$12001$aTesti e manuali della scienza contemporanea. Serie di psicologia e psichiatria 454 $1001SA0010846$12001$aHandbuch der Psychologie$fDavid e Rosa Katz$960333 606 $aPSICOLOGIA$2F 620 $dTORINO 676 $a150.1 702 1$aKATZ,$bDavid 702 1$aKATZ,$bRosa 702 1$aCALLIERI,$bBruno 801 0$aIT$bSA$c20111219 912 $a990005649560203316 950 0$aDipar.to di Filosofia - Salerno$dDFFDC TRA$e5770 FIL 951 $aXV.18.A. 1262 (FDC TRA)$b5770 FIL$cXV.18.A$d537188 959 $aBK 969 $aFDECI 979 $c20121027$lUSA01$h1525 979 $c20121027$lUSA01$h1614 996 $aHandbuch der Psychologie$960333 997 $aUNISA LEADER 04643nam 22005293 450 001 9911046651503321 005 20241028120712.0 010 $a9789815305968 010 $a9815305964 035 $a(MiAaPQ)EBC31740008 035 $a(Au-PeEL)EBL31740008 035 $a(CKB)36393322900041 035 $a(Exl-AI)31740008 035 $a(Perlego)4608865 035 $a(DE-B1597)725118 035 $a(DE-B1597)9789815305968 035 $a(OCoLC)1465272391 035 $a(EXLCZ)9936393322900041 100 $a20241028d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 12$aA Context Aware Decision-Making Algorithm for Human-Centric Analytics 205 $a1st ed. 210 1$aSharjah :$cBentham Science Publishers,$d2024. 210 4$dİ2024. 215 $a1 online resource (141 pages) 311 08$a9789815305975 311 08$a9815305972 327 $aCover -- Title -- Copyright -- End User License Agreement -- Contents -- Foreword -- Preface -- Introduction -- 1. INTRODUCTION -- 2. NEED FOR CLINICAL DECISION SUPPORT SYSTEM -- 3. FEATURE SELECTION AND DATA ANALYSIS IN THE HEALTHCARE FIELD -- 3.1. Disease Diagnosis and Prognosis -- 3.2. Personalized Medicine -- 3.3. Medical Imaging -- 3.4. Operational Efficiency -- 3.5. Electronic Health Records (EHR) Management -- 4. EFFECTIVENESS OF FEATURE SELECTION AND DATA ANALYSIS IN THE HEALTH CARE FIELD -- 4.1. Improved Predictive Accuracy -- 4.2. Reduction of Overfitting -- 4.3. Cost Reduction -- 4.4. Enhanced Interpretability -- 5. CUTTING-EDGE TECHNOLOGIES IN HEALTHCARE DOMAIN -- 5.1. Artificial Intelligence (AI) in Healthcare -- 5.2. CRISPR and Gene Editing -- 5.3. Nanomedicine and Microrobots -- 5.4. 3D Bioprinting and Smart Implants -- 5.5. Social Determinants of Health (SDOH) -- 5.6. Wearable Technology and IoMT -- 5.7. Advanced Imaging Techniques -- 5.8. Value-Based Care$7Generated by AI. 330 $aThis reference demonstrates the development of a context aware decision-making health informatics system with the objective to automate the analysis of human centric wellness and assist medical decision-making in healthcare. The book introduces readers to the basics of a clinical decision support system. This is followed by chapters that explain how to analyze healthcare data for anomaly detection and clinical correlations. The next two sections cover machine learning techniques for object detection and a case study for hemorrhage detection. These sections aim to expand the understanding of simple and advanced neural networks in health informatics. The authors also explore how machine learning model choices based on context can assist medical professionals in different scenarios. Key Features Reader-friendly format with clear headings, introductions and summaries in each chapter Detailed references for readers who want to conduct further research Expert contributors providing authoritative knowledge on machine learning techniques and human-centric wellness Practical applications of data science in healthcare designed to solve problems and enhance patient wellbeing Deep learning use cases for different medical conditions including hemorrhages, gallbladder stones and diabetic retinopathy Demonstrations of fast and efficient CNN models with varying parameters such as Single shot detector, R-CNN, Mask R-CNN, modified contrast enhancement and improved LSTM models. This reference is intended as a primary resource for professionals, researchers, software developers and technicians working in healthcare informatics systems and medical diagnostics. It also serves as a supplementary resource for learners in bioinformatics, biomedical engineering and medical informatics programs and anyone who requires technical knowledge about algorithms in medical 330 8 $adecision support systems. Readership Healthcare professionals, software developers, engineers, diagnostic technicians, students, academicians and machine learning enthusiasts. 606 $aMedical informatics$7Generated by AI 606 $aContext-aware computing$7Generated by AI 615 0$aMedical informatics 615 0$aContext-aware computing 700 $aA$b Veena$01791159 701 $aS$b Gowrishankar$01791157 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911046651503321 996 $aA Context Aware Decision-Making Algorithm for Human-Centric Analytics$94472357 997 $aUNINA