Computational Intelligence in Healthcare

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...

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Bibliographic Details
Other Authors: Manocha, Amit Kumar (Editor), Jain, Shruti (Editor), Singh, Mandeep (Editor), Paul, Sudip (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:Health Information Science
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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