Computational Intelligence in Healthcare
Computational Intelligence in Healthcare [electronic resource] /
edited by Amit Kumar Manocha, Shruti Jain, Mandeep Singh, Sudip Paul.
- 1st ed. 2021.
- XIV, 412 p. 173 illus., 123 illus. in color. online resource.
- Health Information Science, 2366-0996 .
- Health Information Science, .
1. Measurement of Human Bio-Electricity And Pranik Energy Of Different Organs: A Sensor And CPS Based Approach -- 2. Development Of Compression Algorithms For Computed Tomography And Magnetic Resonance Imaging -- 3. Realization Of Carry Free Adder Circuit Using FPGA -- 4. Telemedicine & Telehealth: The Current Update -- 5. Advancements In The Health Care Using Wearable Technology -- 6. Machine- And Deep-Learning Algorithms For Wearable Health Monitoring -- 7.Characterization Of Signals Of Non-Contact Respiration Sensor For Emotion Detection Using Intelligent Techniques -- 8. Benefits Of E-Health Systems During COVID-19 Pandemic -- 9. Low Cost Bone Mineral Densitometer -- 10. Smart Infusion Pump Control – The Control System Perspective -- 11. Automated Detection Of Normal And Cardiac Heart Disease Using chaos Attributes And Online Sequential Extreme Learning Machine -- 12. Interference Reduction In ECG Signal Using IIR Digital Filter Based On GA And Its Simulation -- 13. Contactless Measurement Of Heart Rate From Live Video And Comparison With Standard Method -- 14. Automatic Melanoma Diagnosis And Classification On Dermoscopic Images -- 15. GI Cloud Design – Issues And Perspectives -- 16. A Hybrid Method For Detection Of Coronavirus Through X-Rays Using Convolutional Neural Networks And Support Vector Machine -- 17. Feature Extraction Using GLSM For DDSM Mammogram Images -- 18. Deep Learning Based Techniques To Identify Covid 19 Patients Using Medical Image Segmentation -- 19. Emerging Trends Of Bioinformatics In Health Informatics -- 20. Computational Methods For Health Informatics.
Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services andapplications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.
9783030687236
10.1007/978-3-030-68723-6 doi
Medical informatics.
Artificial intelligence.
Machine learning.
Cloud Computing.
Health Informatics.
Artificial Intelligence.
Machine Learning.
Cloud Computing.
R858-859.7
610.285
1. Measurement of Human Bio-Electricity And Pranik Energy Of Different Organs: A Sensor And CPS Based Approach -- 2. Development Of Compression Algorithms For Computed Tomography And Magnetic Resonance Imaging -- 3. Realization Of Carry Free Adder Circuit Using FPGA -- 4. Telemedicine & Telehealth: The Current Update -- 5. Advancements In The Health Care Using Wearable Technology -- 6. Machine- And Deep-Learning Algorithms For Wearable Health Monitoring -- 7.Characterization Of Signals Of Non-Contact Respiration Sensor For Emotion Detection Using Intelligent Techniques -- 8. Benefits Of E-Health Systems During COVID-19 Pandemic -- 9. Low Cost Bone Mineral Densitometer -- 10. Smart Infusion Pump Control – The Control System Perspective -- 11. Automated Detection Of Normal And Cardiac Heart Disease Using chaos Attributes And Online Sequential Extreme Learning Machine -- 12. Interference Reduction In ECG Signal Using IIR Digital Filter Based On GA And Its Simulation -- 13. Contactless Measurement Of Heart Rate From Live Video And Comparison With Standard Method -- 14. Automatic Melanoma Diagnosis And Classification On Dermoscopic Images -- 15. GI Cloud Design – Issues And Perspectives -- 16. A Hybrid Method For Detection Of Coronavirus Through X-Rays Using Convolutional Neural Networks And Support Vector Machine -- 17. Feature Extraction Using GLSM For DDSM Mammogram Images -- 18. Deep Learning Based Techniques To Identify Covid 19 Patients Using Medical Image Segmentation -- 19. Emerging Trends Of Bioinformatics In Health Informatics -- 20. Computational Methods For Health Informatics.
Artificial intelligent systems, which offer great improvement in healthcare sector assisted by machine learning, wireless communications, data analytics, cognitive computing, and mobile computing provide more intelligent and convenient solutions and services. With the help of the advanced techniques, now a days it is possible to understand human body and to handle & process the health data anytime and anywhere. It is a smart healthcare system which includes patient, hospital management, doctors, monitoring, diagnosis, decision making modules, disease prevention to meet the challenges and problems arises in healthcare industry. Furthermore, the advanced healthcare systems need to upgrade with new capabilities to provide human with more intelligent and professional healthcare services to further improve the quality of service and user experience. To explore recent advances and disseminate state-of-the-art techniques related to intelligent healthcare services andapplications. This edited book involved in designing systems that will permit the societal acceptance of ambient intelligence including signal processing, imaging, computing, instrumentation, artificial intelligence, internet of health things, data analytics, disease detection, telemedicine, and their applications. As the book includes recent trends in research issues and applications, the contents will be beneficial to Professors, researchers, and engineers. This book will provide support and aid to the researchers involved in designing latest advancements in communication and intelligent systems that will permit the societal acceptance of ambient intelligence. This book presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications healthcare sector and to present the latest snapshot of the ongoing research as well as to shed further light on future directions in this space. The aim of publishing the book is to serve for educators, researchers, and developers working in recent advances and upcoming technologies utilizing computational sciences.
9783030687236
10.1007/978-3-030-68723-6 doi
Medical informatics.
Artificial intelligence.
Machine learning.
Cloud Computing.
Health Informatics.
Artificial Intelligence.
Machine Learning.
Cloud Computing.
R858-859.7
610.285