Applications of Artificial Intelligence in COVID-19 / Nandan Mohanty, Sachi ; Saxena, Shailendra K. ; Satpathy, Suneeta ; Chatterjee, Jyotir Moy  

Público ISBD Ningún comentario para este registro. Título : Applications of Artificial Intelligence in COVID-19 Tipo de documento: documento electrónico Autores: Nandan Mohanty, Sachi, ; Saxena, Shailendra K., ; Satpathy, Suneeta, ; Chatterjee, Jyotir Moy, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2021 Número de páginas: XX, 595 p. 216 ilustraciones, 147 ilustraciones en color. ISBN/ISSN/DL: 978-981-1573170-- Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Virología  Epidemiología  Inteligencia artificial Clasificación: 579.2 Resumen: El libro examina el papel de la inteligencia artificial durante la pandemia de COVID-19, incluida su aplicación en i) alertas y alertas tempranas, ii) seguimiento y predicción, iii) paneles de datos, iv) diagnóstico y pronóstico, v) tratamientos y curas. y vi) control social. Explora el uso de la inteligencia artificial en el contexto del cribado de la población y la evaluación de los riesgos de infección, y presenta modelos matemáticos para la predicción epidémica de la COVID-19. Además, el libro analiza el diagnóstico mediado por inteligencia artificial y cómo el aprendizaje automático puede ayudar en el desarrollo de medicamentos para tratar la enfermedad. Por último, analiza diversos modelos basados ​​en inteligencia artificial para mejorar los cuidados críticos de los pacientes con COVID-19. Nota de contenido: Chapter 1.Comprehensive Claims of AI for Healthcare Applications-Coherence towards COVID-19 -- Chapter 2. Artificial Intelligence based systems for combating COVID-19 -- Chapter 3. Artificial intelligence mediated medical diagnosis of COVID-19 -- Chapter 4. AI combined with medical imaging enables rapid diagnosis for COVID-19 -- Chapter 5. Role of Artificial Intelligence in COVID-19 prediction based on Statistical Methods -- Chapter 6. Data Driven symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID 19 -- Chapter 7. A decision support System using Rule based Expert System For COVID -19 Prediction and Diagnosis -- Chapter 8. A Predictive Mechanism to Intimate the Danger of Infection via nCOVID-19 through Unsupervised Learning -- Chapter 9. AI-enabled prognosis technologies for SARS Co-2. Chapter 10. Intelligent agent Based Case Base Reasoning Systems Build Knowledge Representation in COVID-19 analysis of Recovery, Infectious Patients -- Chapter 11. Epidemic Analysis of COVID 19 Using Machine Learning -- Chapter 12. Machine learning application in COVID-19 drug development -- Chapter 13. COVID 19 Epidemic Analysis Using Linear and Polynomial Regression Approach -- Chapter 14. Prediction & Analysis of outbreak of COVID-19 Pandemic Using Machine Learning -- Chapter 15. Predictive Risk Analysis by using Machine Learning during Covid-19 -- Chapter 16. Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along With Recursive Feature Elimination for COVID-19 -- Chapter 17. Artificial intelligence in mental healthcare during COVID-19 pandemic -- Chapter 18. Effect of Covid-19 on Autism Spectrum Disorder: Prognosis, diagnosis and therapeutics based On AI -- Chapter 19. Use of mobile phone apps for contact tracing to control the COVID-19 pandemic: A Literature Review -- Chapter 20. Role of IoT and Social Networking in Mental Healthcare of Transgender Community in Covid-19 Pandemic -- Chapter 21. TECHNOLOGY ACCEPTANCE AND USE OF IOT DURING COVID 19 PANDEMIC-CASE STUDY OF HEALTH SECTOR IN INDIA. Chapter 22. Artificial Intelligence – The Strategies used in COVID-19 for Diagnosis -- Chapter 23. Impact of Isolation and Quarantine on Covid-19 Patients and Potential Role of Technology in Mitigation -- Chapter 24. Impact of loneliness and Quarantine on COVID-19 patients with artificial intelligence applications -- Chapter 25. Can Technology fight the loneliness Lockdown: A study of factors Affecting Loneliness in NCR during COVID 19 -- Chapter 26. Psycho-economic Impact of Obligatory Job Switching during Covid-19 Pandemic: A Study of Hawkers in Bhubaneswar (India) -- Chapter 27. AI's Role in Essential Commodities during a Pandemic Situation -- Chapter 28.Impact of COVID-19 on Manufacturing and Operational Ecosystem in India -- Chapter 29. Impact of Repatriated Migrants on the Production Possibility of Agricultural Sector owing to Covid: A Study on the basis of Inferential Statistics -- Chapter 30. Nicotine in Covid-19: Friend or Foe";? -- Chapter 31. Artificial Intelligence in Covid'19: Application and Legal Conundrums. Tipo de medio : Computadora Summary : The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Applications of Artificial Intelligence in COVID-19 [documento electrónico] / Nandan Mohanty, Sachi, ; Saxena, Shailendra K., ; Satpathy, Suneeta, ; Chatterjee, Jyotir Moy,  . -  1 ed.  . - Singapore [Malasia] : Springer, 2021 . - XX, 595 p. 216 ilustraciones, 147 ilustraciones en color. ISBN : 978-981-1573170-- Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Virología  Epidemiología  Inteligencia artificial Clasificación: 579.2 Resumen: El libro examina el papel de la inteligencia artificial durante la pandemia de COVID-19, incluida su aplicación en i) alertas y alertas tempranas, ii) seguimiento y predicción, iii) paneles de datos, iv) diagnóstico y pronóstico, v) tratamientos y curas. y vi) control social. Explora el uso de la inteligencia artificial en el contexto del cribado de la población y la evaluación de los riesgos de infección, y presenta modelos matemáticos para la predicción epidémica de la COVID-19. Además, el libro analiza el diagnóstico mediado por inteligencia artificial y cómo el aprendizaje automático puede ayudar en el desarrollo de medicamentos para tratar la enfermedad. Por último, analiza diversos modelos basados ​​en inteligencia artificial para mejorar los cuidados críticos de los pacientes con COVID-19. Nota de contenido: Chapter 1.Comprehensive Claims of AI for Healthcare Applications-Coherence towards COVID-19 -- Chapter 2. Artificial Intelligence based systems for combating COVID-19 -- Chapter 3. Artificial intelligence mediated medical diagnosis of COVID-19 -- Chapter 4. AI combined with medical imaging enables rapid diagnosis for COVID-19 -- Chapter 5. Role of Artificial Intelligence in COVID-19 prediction based on Statistical Methods -- Chapter 6. Data Driven symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID 19 -- Chapter 7. A decision support System using Rule based Expert System For COVID -19 Prediction and Diagnosis -- Chapter 8. A Predictive Mechanism to Intimate the Danger of Infection via nCOVID-19 through Unsupervised Learning -- Chapter 9. AI-enabled prognosis technologies for SARS Co-2. Chapter 10. Intelligent agent Based Case Base Reasoning Systems Build Knowledge Representation in COVID-19 analysis of Recovery, Infectious Patients -- Chapter 11. Epidemic Analysis of COVID 19 Using Machine Learning -- Chapter 12. Machine learning application in COVID-19 drug development -- Chapter 13. COVID 19 Epidemic Analysis Using Linear and Polynomial Regression Approach -- Chapter 14. Prediction & Analysis of outbreak of COVID-19 Pandemic Using Machine Learning -- Chapter 15. Predictive Risk Analysis by using Machine Learning during Covid-19 -- Chapter 16. Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along With Recursive Feature Elimination for COVID-19 -- Chapter 17. Artificial intelligence in mental healthcare during COVID-19 pandemic -- Chapter 18. Effect of Covid-19 on Autism Spectrum Disorder: Prognosis, diagnosis and therapeutics based On AI -- Chapter 19. Use of mobile phone apps for contact tracing to control the COVID-19 pandemic: A Literature Review -- Chapter 20. Role of IoT and Social Networking in Mental Healthcare of Transgender Community in Covid-19 Pandemic -- Chapter 21. TECHNOLOGY ACCEPTANCE AND USE OF IOT DURING COVID 19 PANDEMIC-CASE STUDY OF HEALTH SECTOR IN INDIA. Chapter 22. Artificial Intelligence – The Strategies used in COVID-19 for Diagnosis -- Chapter 23. Impact of Isolation and Quarantine on Covid-19 Patients and Potential Role of Technology in Mitigation -- Chapter 24. Impact of loneliness and Quarantine on COVID-19 patients with artificial intelligence applications -- Chapter 25. Can Technology fight the loneliness Lockdown: A study of factors Affecting Loneliness in NCR during COVID 19 -- Chapter 26. Psycho-economic Impact of Obligatory Job Switching during Covid-19 Pandemic: A Study of Hawkers in Bhubaneswar (India) -- Chapter 27. AI's Role in Essential Commodities during a Pandemic Situation -- Chapter 28.Impact of COVID-19 on Manufacturing and Operational Ecosystem in India -- Chapter 29. Impact of Repatriated Migrants on the Production Possibility of Agricultural Sector owing to Covid: A Study on the basis of Inferential Statistics -- Chapter 30. Nicotine in Covid-19: Friend or Foe";? -- Chapter 31. Artificial Intelligence in Covid'19: Application and Legal Conundrums. Tipo de medio : Computadora Summary : The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

Internet of Things Use Cases for the Healthcare Industry / Raj, Pethuru ; Chatterjee, Jyotir Moy ; Kumar, Abhishek ; Balamurugan, B.  

Público ISBD Ningún comentario para este registro. Título : Internet of Things Use Cases for the Healthcare Industry Tipo de documento: documento electrónico Autores: Raj, Pethuru, ; Chatterjee, Jyotir Moy, ; Kumar, Abhishek, ; Balamurugan, B., Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XII, 296 p. 96 ilustraciones, 77 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-37526-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas ciberfísicos  Informática Médica  Entrada/Salida y Comunicaciones de Datos  Informática de la Salud  Equipos de entrada y salida de computadora  Red informática  Objetos cooperantes (Sistemas informáticos)  Redes de comunicación informática Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro explora casos de uso específicos de la atención médica potencialmente disruptivos y transformadores, posibles gracias a los últimos desarrollos en la tecnología de Internet de las cosas (IoT) y los sistemas ciberfísicos (CPS). Los datos sanitarios pueden someterse a una serie de investigaciones diferentes con el fin de extraer inteligencia muy útil y utilizable para la automatización de tareas tradicionalmente manuales. Además, las aplicaciones sanitarias de próxima generación se pueden mejorar integrando las últimas herramientas de descubrimiento y difusión de conocimientos. Estas aplicaciones de atención médica sofisticadas e inteligentes son posibles gracias a un ecosistema creciente de sensores y actuadores de atención médica, nuevas redes de sensores y actuadores ad hoc y específicas para aplicaciones, y avances en captura, procesamiento, almacenamiento y minería de datos. Estas aplicaciones también aprovechan los algoritmos de aprendizaje profundo y automático de última generación, los grandes avances en inteligencia artificial y ambiental, y las rápidas mejoras en la estabilidad y madurez de los modelos móviles, sociales y de computación de borde. . Nota de contenido: AI in Health Sector -- Real-Time Smart Healthcare Model using IoT -- A Fog Based Approach for Real-Time Analytics of IoT-Enabled Healthcare -- Applications of IoT in Indoor Air Quality Monitoring Systems -- CloudIoT for Smart Healthcare: Architecture, Issues and Challenges -- Impact of IoT on the Healthcare Producers: Epitomizing Pharmaceutical Drug Discovery Process -- Cyber-Security Threats in Medical Devices -- Smart Healthcare Use Cases and Applications -- IoT Use Cases and Applications -- Internet of Things for Ambient Assisted Living - An Overview -- Smart Health care Applications and Real Time Analytics through Edge Computing -- The Role of Blockchain for Medical Electronics Security -- Clinical Data Analysis using IoT Data Analytics Platforms -- Internet of Things - Tools and Technologies in Healthcare -- Clinical data analysis using IoT -- Security Issues in IoT and Healthcare Devices. Tipo de medio : Computadora Summary : This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Internet of Things Use Cases for the Healthcare Industry [documento electrónico] / Raj, Pethuru, ; Chatterjee, Jyotir Moy, ; Kumar, Abhishek, ; Balamurugan, B.,  . -  1 ed.  . - [s.l.] : Springer, 2020 . - XII, 296 p. 96 ilustraciones, 77 ilustraciones en color. ISBN : 978-3-030-37526-3 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Sistemas ciberfísicos  Informática Médica  Entrada/Salida y Comunicaciones de Datos  Informática de la Salud  Equipos de entrada y salida de computadora  Red informática  Objetos cooperantes (Sistemas informáticos)  Redes de comunicación informática Clasificación: 004.6 Ciencia de los computadores (Interfaces y comunicaciones) Resumen: Este libro explora casos de uso específicos de la atención médica potencialmente disruptivos y transformadores, posibles gracias a los últimos desarrollos en la tecnología de Internet de las cosas (IoT) y los sistemas ciberfísicos (CPS). Los datos sanitarios pueden someterse a una serie de investigaciones diferentes con el fin de extraer inteligencia muy útil y utilizable para la automatización de tareas tradicionalmente manuales. Además, las aplicaciones sanitarias de próxima generación se pueden mejorar integrando las últimas herramientas de descubrimiento y difusión de conocimientos. Estas aplicaciones de atención médica sofisticadas e inteligentes son posibles gracias a un ecosistema creciente de sensores y actuadores de atención médica, nuevas redes de sensores y actuadores ad hoc y específicas para aplicaciones, y avances en captura, procesamiento, almacenamiento y minería de datos. Estas aplicaciones también aprovechan los algoritmos de aprendizaje profundo y automático de última generación, los grandes avances en inteligencia artificial y ambiental, y las rápidas mejoras en la estabilidad y madurez de los modelos móviles, sociales y de computación de borde. . Nota de contenido: AI in Health Sector -- Real-Time Smart Healthcare Model using IoT -- A Fog Based Approach for Real-Time Analytics of IoT-Enabled Healthcare -- Applications of IoT in Indoor Air Quality Monitoring Systems -- CloudIoT for Smart Healthcare: Architecture, Issues and Challenges -- Impact of IoT on the Healthcare Producers: Epitomizing Pharmaceutical Drug Discovery Process -- Cyber-Security Threats in Medical Devices -- Smart Healthcare Use Cases and Applications -- IoT Use Cases and Applications -- Internet of Things for Ambient Assisted Living - An Overview -- Smart Health care Applications and Real Time Analytics through Edge Computing -- The Role of Blockchain for Medical Electronics Security -- Clinical Data Analysis using IoT Data Analytics Platforms -- Internet of Things - Tools and Technologies in Healthcare -- Clinical data analysis using IoT -- Security Issues in IoT and Healthcare Devices. Tipo de medio : Computadora Summary : This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]

---

1 (1 - 2 / 2) Ver por página : 25 50 100 200