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Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities
| Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities |
| Autore | Pradhan Devasis |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (278 pages) |
| Disciplina | 610.28563 |
| Altri autori (Persone) |
SahuPrasanna Kumar
TunHla Myo ChatterjeePrasenjit |
| Soggetto topico |
Artificial intelligence
Medical laboratories |
| ISBN |
9781394297443
1394297440 9781394297429 1394297424 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Introduction -- Chapter 1 Artificial Intelligence and its Application in Healthcare Systems -- 1.1. History of healthcare system -- 1.2. Literature studies -- 1.3. Evolution of AI -- 1.3.1. Advantages and disadvantages -- 1.3.2. Components of AI -- 1.4. Machine learning -- 1.4.1. Categories of ML -- 1.4.2. Supervised learning -- 1.4.3. Unsupervised learning -- 1.4.4. Reinforcement learning -- 1.5. Application of ML -- 1.6. Application of AI in healthcare -- 1.6.1. Digital health -- 1.6.2. Genetic solutions -- 1.6.3. Bio-medical visualization -- 1.7. Conclusion -- 1.8. References -- Chapter 2 Medical Laboratory Artificial Intelligence: The Applicability in Nigerian Medical Laboratories -- 2.1. Introduction -- 2.2. Historical trend of artificial intelligence (AI) -- 2.3. AI in medical science/medical laboratory science in history -- 2.4. Medical Laboratory Information Management System, centralized data and WWW -- 2.5. Artificial intelligence methodologies and their application in medical laboratory science -- 2.6. Nigerian medical laboratory intelligence before, now and future -- 2.7. Medical laboratory services where AI is used in Nigeria -- 2.8. AI and Internet of medical laboratory things -- 2.9. Opportunities and challenges of AI for Nigerian medical laboratories -- 2.10. Risks/limitations and challenges associated with AI in Nigerian medical laboratories -- 2.11. AI and digitalization of Nigerian medical laboratories -- 2.12. Conclusion -- 2.13. References -- Chapter 3 Machine Learning and Deep Learning for Smart City Services -- 3.1. Introduction -- 3.2. Basics of machine learning and its implications in smart cities -- 3.3. Basics of deep learning and its implications in smart cities -- 3.4. Algorithms of machine learning and deep learning -- 3.4.1. Classification.
3.4.2. Clustering -- 3.4.3. K-nearest neighbors -- 3.4.4. Naive Bayes -- 3.4.5. The support vector machine -- 3.4.6. Linear regression -- 3.4.7. Random forest -- 3.4.8. K-means -- 3.4.9. Artificial neural network -- 3.4.10. Multi-layer perceptron -- 3.5. Applications in smart cities using machine learning and deep learning -- 3.5.1. Safety of the public -- 3.5.2. Intelligent traffic management -- 3.5.3. Water management strategy -- 3.5.4. Smart street lights -- 3.5.5. Intelligent parking devices -- 3.5.6. Smart waste and disposal management system -- 3.6. Future challenges and research directions -- 3.7. Conclusion -- 3.8. References -- Chapter 4 An Intelligent Healthcare System Based on Machine Learning Models for Accurate Detection of Heart Disease -- 4.1. Introduction -- 4.2. Literature survey -- 4.3. Features of the dataset -- 4.4. Proposed system -- 4.5. ML models used for the experimental work -- 4.5.1. Support vector machines (SVM) -- 4.5.2. Random forest (RF) -- 4.5.3. Stochastic gradient descent (SGD) method -- 4.5.4. Multilayer perceptron (MLP) -- 4.5.5. Naive Bayes (NB) -- 4.6. Performance parameters of ML models -- 4.6.1. Confusion matrix -- 4.6.2. Accuracy -- 4.6.3. F1-score -- 4.6.4. AUC -- 4.7. Result and analysis -- 4.8. Conclusion -- 4.9. References -- Chapter 5 3D Volume Rendering of MRI Images for Tumor Detection and Segmentation using nnUnet -- 5.1. Introduction -- 5.2. Methodology -- 5.2.1. Segmentation -- 5.2.2. Overlapping the scans -- 5.2.3. 3D reconstruction -- 5.3. Results and discussion -- 5.4. Conclusion and future scope -- 5.5. References -- Chapter 6 Implementation of Key Generation in Kyber for Post-Quantum Cryptography using VIVADO -- 6.1. Introduction -- 6.2. Methodology -- 6.2.1. RTL design -- 6.2.2. True random number generator and (SHA-512) HASH -- 6.2.3. Pseudo random number generator. 6.2.4. Numeric theoretic transform -- 6.2.5. Matrix multiplication -- 6.3. Results and discussion -- 6.3.1. Design outcomes -- 6.3.2. Board specifications -- 6.3.3. Interfacing with processor core using AXI -- 6.3.4. Area utilization -- 6.3.5. Power utilization -- 6.3.6. Timing utilization -- 6.4. Conclusion and future scope -- 6.5. References -- Chapter 7 Computational Intelligence and Big Data Analytics for Smart Healthcare: A Comprehensive Study -- 7.1. Introduction -- 7.1.1. Computational intelligence in smart healthcare -- 7.1.2. Big Data analytics in smart healthcare -- 7.1.3. Challenges and future directions -- 7.1.4. The landscape of smart healthcare -- 7.2. Computational intelligence techniques in healthcare -- 7.2.1. Machine learning -- 7.2.2. Natural language processing (NLP) -- 7.2.3. Expert systems -- 7.2.4. Robotic process automation (RPA) -- 7.2.5. Physical robots -- 7.3. Applications of intelligence and Big Data analytics in healthcare -- 7.4. Benefits of computational intelligence and Big Data analytics in healthcare -- 7.5. Challenges in implementing computational intelligence and Big Data analytics -- 7.6. Future aspect of computational intelligence and Big Data analytics in smart healthcare -- 7.7. Conclusion -- 7.8. References -- Chapter 8 Bioinformatics, Healthcare Informatics and Analytics: An Imperative for Improved Healthcare System -- 8.1. Introduction -- 8.1.1. Justification for computational biology -- 8.1.2. Computational biology and its impact -- 8.2. Healthcare informatics -- 8.3. Health analytic -- 8.3.1. Healthcare analytics and its contribution to healthcare framework -- 8.4. The intersection amidst bioinformatics, healthcare informatics and analytics -- 8.5. Future prospects of healthcare informatics and analytics -- 8.6. Conclusion -- 8.7. References. Chapter 9 Natural Language Processing in Healthcare: A Systematic Review -- 9.1. Introduction -- 9.2. Materials and methods -- 9.3. Data sources and searches strategy -- 9.3.1. Requirements for inclusion -- 9.3.2. Exclusion standards -- 9.3.3. Study selection -- 9.3.4. Data extraction and synthesis -- 9.4. Results and discussion -- 9.5. Conclusion -- 9.6. References -- Chapter 10 Artificial Intelligence and Large Language Models in Mental Healthcare: A Systematic Review -- 10.1. Introduction -- 10.1.1. Objectives -- 10.1.2. Methods -- 10.1.3. Inclusion criteria -- 10.1.4. Exclusion criteria -- 10.1.5. Discussion -- 10.2. AI as an advantage for users -- 10.3. Ethical implications of AI -- 10.4. AI chatbot and its functions in diagnosing and intervention -- 10.5. Machine learning as a base of AI for mental healthcare -- 10.6. Forms of AI as a mental healthcare support mechanism -- 10.7. AI as a support for mental health professional -- 10.7.1. Implication -- 10.7.2. Limitations -- 10.8. Suggestions for future studies -- 10.9. Conclusion -- 10.10. Appendix -- 10.11. References -- Chapter 11 Unleashing the Future: Exploring the Transformative Potential of 5G Technology in Healthcare -- 11.1. Introduction to 5G technology -- 11.2. Definition of 5G -- 11.3. History of 5G evolution -- 11.3.1. 1G to 3G (1980s-2000s) -- 11.3.2. 4G and LTE (late 2000s-early 2010s) -- 11.3.3. The path to 5G (2010s) -- 11.3.4. Key milestones towards 5G (2016-2019) -- 11.3.5. 5G deployment and expansion (2020s) -- 11.4. 5G bands -- 11.5. 5G use cases and spectrum band relevance -- 11.6. 5G for industries -- 11.7. Importance -- 11.7.1. Faster data speeds -- 11.7.2. Ultra-low latency -- 11.7.3. Massive device connectivity -- 11.7.4. Industrial automation and IoT -- 11.7.5. Healthcare advancements -- 11.7.6. Autonomous vehicles -- 11.7.7. Smart cities. 11.7.8. Remote work and education -- 11.7.9. Entertainment and media -- 11.7.10. Economic growth and innovation -- 11.7.11. Global competitiveness -- 11.8. Key features of 5G -- 11.9. Intel 5G technologies and solutions -- 11.10. Healthcare -- 11.11. 5G technology's impact on healthcare: a comprehensive overview -- 11.12. Conclusion -- 11.13. References -- List of Authors -- Index -- Other titles from ISTE in Computer Engineering -- EULA. |
| Record Nr. | UNINA-9911020277203321 |
Pradhan Devasis
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Enhancing the use and quality of colorectal cancer screening
| Enhancing the use and quality of colorectal cancer screening |
| Pubbl/distr/stampa | [Place of publication not identified], : Agency for Health Care Policy and Research Dept of Health and Human Services, 2010 |
| Descrizione fisica | 1 online resource (xi, 197 p.) |
| Disciplina | 616.99/435 |
| Collana | Evidence report/technology assessment Enhancing the use and quality of colorectal cancer screening |
| Soggetto topico |
Colon (Anatomy) - Cancer - Diagnosis
Rectum - Cancer - Diagnosis Medical screening - Quality control Medical screening - Utilization Medical laboratories Colonic Diseases Intestinal Neoplasms Rectal Diseases Diagnosis Health Services Administration Health Care Quality, Access, and Evaluation Gastrointestinal Neoplasms Intestinal Diseases Delivery of Health Care Digestive System Neoplasms Gastrointestinal Diseases Digestive System Diseases Neoplasms by Site Disease Neoplasms Colorectal Neoplasms Diagnostic Techniques and Procedures Quality of Health Care Medicine Health & Biological Sciences Oncology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910703237703321 |
| [Place of publication not identified], : Agency for Health Care Policy and Research Dept of Health and Human Services, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook for Laboratory Safety / / Sveinbjornsson, Benjamin R. [and others]
| Handbook for Laboratory Safety / / Sveinbjornsson, Benjamin R. [and others] |
| Autore | Sveinbjornsson Benjamin R |
| Pubbl/distr/stampa | San Diego, CA, USA, : Elsevier Science, 2022 |
| Descrizione fisica | 1 online resource (xiv, 175 pages) : color illustrations |
| Altri autori (Persone) | GizurarsonSveinbjorn |
| Soggetto topico |
Laboratories - Safety measures
Chemical laboratories - Safety measures Medical laboratories Laboratories Laboratory Chemicals Chemical Safety Safety |
| Soggetto genere / forma |
Handbooks and manuals.
Handbook |
| ISBN |
9780323993203
0323993206 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Laboratory safety |
| Record Nr. | UNINA-9911007242803321 |
|
Sveinbjornsson Benjamin R
|
||
| San Diego, CA, USA, : Elsevier Science, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Instrumentación y Laboratorio. Manual de Procedimientos Básicos
| Instrumentación y Laboratorio. Manual de Procedimientos Básicos |
| Autore | Álvarez Gasca María Araceli |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Ciudad de México : , : Universidad Nacional Autonoma de Mexico, Instituto de Investigaciones sobre la Universidad y la Educacion, , 2023 |
| Descrizione fisica | 1 online resource (53 pages) |
| Altri autori (Persone) | Argüero LiceaBertha |
| Soggetto topico |
Medical laboratories
Diagnostic services |
| ISBN |
9786073057776
6073057776 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | spa |
| Nota di contenuto |
Intro -- ÍNDICE -- INTRODUCCIÓN -- I -- MANEJO DE APARATOS E INSTRUMENTAL -- 1. Microscopio -- Cuidados del microscopio -- Manejo del microscopio -- Referencias -- 2. Espectrofotómetro -- Procedimiento para la operación básica del Spectronic 20 -- Preliminar -- Ajuste del aparato a cero y lectura de las muestras -- Indicaciones -- 3. Centrífugas -- Centrífuga clínica -- Microcentrífugas -- Precauciones -- 4. Pipetas y micropipetas -- Pipetas -- Micropipetas -- Manejo -- Precauciones -- Referencias -- II -- MANEJO DE MUESTRAS CLÍNICAS -- Colección y transporte -- 1. Preparación del paciente -- 2. Colección de la muestra -- 3. Preparación de la muestra -- Tipos de muestras -- Obtención de sangre -- Procedimiento: -- Medidas de seguridad y control -- Colección de orina -- Obtención de heces -- Obtención de la muestra para técnica de Graham -- Toma de exudado vaginal -- Referencias -- III -- TÉCNICAS DE LABORATORIO -- 1. Técnicas microbiológicas -- a) Bacteriológicas -- Urocultivo -- Tinción de Gram -- Pruebas bioquímicas -- Urea -- SIM -- Citrato -- Kligler -- MR-VP -- Referencias -- Examen de esputo -- Referencias -- Exudado cervicovaginal -- Proceso de exudado vaginal -- Producción de clamidosporas -- Producción de tubo germinativo -- Referencias -- b) Parasitológicas -- Técnicas de concentración de heces para la recuperación de parásitos intestinales -- Introducción -- Método de flotación -- Fundamento -- Muestra: materia fecal -- Técnica: -- Referencias -- 2. Biometría hemática -- Fórmula roja -- a) Hemoglobina -- b) Cuenta de eritrocitos -- Cuadrícula del hematocitómetro de Neubauer -- c) Hematocrito -- d) Velocidad de sedimentación globular -- e) Índices globulares medios -- Volumen globular medio (VGM) -- Hemoglobina globular media (HbGM) -- Concentración de hemoglobina globular media (CHbGM) -- Referencias -- 3. Química sanguínea.
Colesterol -- Determinación del colesterol -- Control de calidad -- Valores de referencia -- Técnica de Pearson modificada -- Obtención de la muestra -- Creatinina sérica -- Proteínas totales del suero: albúmina y globulina -- Técnica de Henry-Sobel-Berman (Biuret modificado) -- Determinación de albúmina (técnica verde de bromocresol) -- Determinaciones de glucosuria y glucemia -- Glucosuria -- Glucosa en sangre -- Interpretación -- Método de la ortotoluidina -- Determinación de urea en sangre -- Correlaciones clínico-patológicas -- Técnica de Marbach -- Referencias -- 4. Examen general de orina (EGO) -- Examen macroscópico -- Color y aspecto -- Olor -- Volumen -- Densidad -- Análisis químico -- Examen al microscopio -- Referencias -- ANEXO -- Algunos sistemas automatizados útiles en el laboratorio clínico -- Introducción -- Hematología -- Inmunología -- Urianálisis -- Microbiología y bacteriología -- Aviso legal. |
| Record Nr. | UNINA-9911008951603321 |
|
Álvarez Gasca María Araceli
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||
| Ciudad de México : , : Universidad Nacional Autonoma de Mexico, Instituto de Investigaciones sobre la Universidad y la Educacion, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International directory of testing laboratories / / compiled by ASTM [[electronic resource]]
| International directory of testing laboratories / / compiled by ASTM [[electronic resource]] |
| Pubbl/distr/stampa | Philadelphia, PA, : American Society for Testing and Materials, ©1992- |
| Descrizione fisica | 1 online resource |
| Disciplina | 620.1/1/0287 |
| Soggetto topico |
Materials testing laboratories
Testing laboratories Medical laboratories Laboratories Materials Testing Laboratoires d'essais - Répertoires Laboratoires d'essais - États-Unis - Répertoires Laboratoires d'essais - Canada - Répertoires Matériaux - Essais - Laboratoires Laboratoires d'essais Médecine - Laboratoires |
| Soggetto genere / forma |
Directory
Directories. |
| ISSN | 0895-7866 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Testing laboratories
ASTM international directory of testing laboratories |
| Record Nr. | UNISA-996210991503316 |
| Philadelphia, PA, : American Society for Testing and Materials, ©1992- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Journal of case reports
| Journal of case reports |
| Pubbl/distr/stampa | [India] : , : [JCR] |
| Descrizione fisica | 1 online resource : color illustrations |
| Soggetto topico |
Clinical medicine
Medicine Medical laboratories |
| Soggetto genere / forma |
Case studies.
Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | JCR |
| Record Nr. | UNINA-9910894131503321 |
| [India] : , : [JCR] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Laboratory automation & information management
| Laboratory automation & information management |
| Pubbl/distr/stampa | [New York], : Elsevier Science Pub. Co., 1995-1999 |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Chemical laboratories - Automation
Chemical laboratories - Data processing Automation Medical laboratories Clinical Laboratory Information Systems Laboratories Chimie - Laboratoires - Automatisation Chimie - Laboratoires - Informatique Automatisation Médecine - Laboratoires automation |
| Soggetto genere / forma | Periodicals. |
| Soggetto non controllato | Chemistry - General |
| ISSN | 1873-2488 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Laboratory automation and information management |
| Record Nr. | UNISA-996206279403316 |
| [New York], : Elsevier Science Pub. Co., 1995-1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Laboratory automation & information management
| Laboratory automation & information management |
| Pubbl/distr/stampa | [New York], : Elsevier Science Pub. Co., 1995-1999 |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Chemical laboratories - Automation
Chemical laboratories - Data processing Automation Medical laboratories Clinical Laboratory Information Systems Laboratories Chimie - Laboratoires - Automatisation Chimie - Laboratoires - Informatique Automatisation Médecine - Laboratoires automation |
| Soggetto genere / forma | Periodicals. |
| ISSN | 1873-2488 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Laboratory automation and information management |
| Record Nr. | UNINA-9910147020603321 |
| [New York], : Elsevier Science Pub. Co., 1995-1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical laboratory observer : MLO
| Medical laboratory observer : MLO |
| Pubbl/distr/stampa | Oradell, N.J., : Medical Economics |
| Disciplina | 610/.28 |
| Soggetto topico |
Medical laboratories
Economics, Medical Laboratories Health & Medicine (General) |
| Soggetto genere / forma |
Periodical
Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
MLO
MLO: medical laboratory observer |
| Record Nr. | UNISA-996203235803316 |
| Oradell, N.J., : Medical Economics | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Medical laboratory observer : MLO
| Medical laboratory observer : MLO |
| Pubbl/distr/stampa | Oradell, N.J., : Medical Economics |
| Disciplina | 610/.28 |
| Soggetto topico |
Medical laboratories
Economics, Medical Laboratories Health & Medicine (General) |
| Soggetto genere / forma |
Periodical
Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
MLO
MLO: medical laboratory observer |
| Record Nr. | UNINA-9910145716403321 |
| Oradell, N.J., : Medical Economics | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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