Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases

Intro -- Preface -- Contents -- Uncertainty Propagation and Salient Features Maps in Deep Learning Architectures for Supporting Covid-19 Diagnosis -- 1 Introduction -- 2 Methods and Materials -- 2.1 CNN-Inception -- 2.2 Uncertainty Propagation -- 2.3 Grad-CAM -- 3 Experimental Results and Models Comparison -- 3.1 Pneumonia Image -- 3.2 Covid-19 Image -- 3.3 Healthy Image -- 3.4 Numerical Outputs -- 4 Conclusions -- References -- A Review of Machine Learning Techniques to Detect and Treat COVID-19 Using EHR Data -- 1 Introduction -- 2 Methods -- 2.1 Search Strategy -- 2.2 Study Selection -- 3 Findings -- 3.1 SARS-CoV-2 Detection Models Using EHR Data -- 3.2 SARS-CoV-2 Prognostic Models Using EHR Data -- 4 Treating COVID-19 Using Machine Learning and EHR Data -- 4.1 Repurposing of Commercially Available Drugs and Vaccines for the Treatment of COVID-19 -- 4.2 Development of Targeted Medical Therapy Techniques -- 5 EHR and Machine Learning in Studying Mutations in the Virus -- 6 Early Detection of Future Pandemics -- 7 Challenges and Future Direction -- 8 Conclusion -- 9 Limitations -- References -- Machine Learning-Based Emerging Technologies in the Post Pandemic Scenario -- 1 Introduction -- 2 Risk Factors during COVID-19 -- 2.1 Why Risk Factors Matter? -- 2.2 How we learn about Risk Factors for severe disease? -- 3 Impacts of COVID-19 in major sectors -- 3.1 Medical Sector -- 3.2 Business Sector -- 3.3 Police Force -- 3.4 Educational Sector -- 4 Data Science methodologies to overcome impacts in major sectors -- 4.1 Medical Sector -- 4.2 Business Sector -- 4.3 Common People -- 4.4 Police Force -- 5 Proposed Method and Implementation -- 5.1 System Flow -- 6 Conclusion -- References -- Covid-19 Face Mask Detection Using Deep Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Methods and Methodology -- 4 Dataset Description..

Medienart:	E-Book

Erscheinungsjahr:	2022 ©2022
Erschienen:	Cham: Springer International Publishing AG ; 2022 ©2022
Ausgabe:	1st ed.

Reihe:	Studies in Computational Intelligence Series - v.1023

Sprache:	Englisch

Beteiligte Personen:	Chang, Victor [VerfasserIn] Kaur, Harleen [Mitwirkende/r] Fong, Simon James [Mitwirkende/r]

Links:	ebookcentral.proquest.com [lizenzpflichtig]

ISBN:	978-3-031-04597-4

Themen:	Artificial intelligence-Medical applications

Anmerkungen:	Description based on publisher supplied metadata and other sources

Umfang:	1 online resource (255 pages)

Förderinstitution / Projekttitel:

PPN (Katalog-ID):	1852693088