Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics
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Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics
Kumar, Nishant; Ansari, Amirul Hasan; Upreti, Kamal; Nadeem, Danish; Bagga, Teena
Taylor & Francis Ltd
10/2024
280
Mole
9781032108018
Pré-lançamento - envio 15 a 20 dias após a sua edição
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1. Telemedicine (e-Health, m-Health): Requirements, Challenges and Applications.
2. Future Risk Analysis of the Health Public Sector During COVID-19 Period (2020 to March 2021).
3. Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare.
4. Emerging Disruptive Technologies and Their Impact on Health Informatics.
5. Scaling Up Telemedicine in India: Moving Towards Intelligent Healthcare via Disruptions.
6. A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics.
7. Recent Trends in Wearable Technologies, Challenges and Opportunities.
8. Intelligent Depression Detection System Using Effective Hyper-Scanning Techniques.
9. Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm.
10. Blockchain for the Healthcare Sector: Application and Challenges.
11. Blockchain-Enabled Secured Medical Supply Chain Management.
12. Big Data in Healthcare: Technological Implications and Challenges.
13. An Efficient System for Predictive Analysis on Brain Cancer Using Machine Learning and Deep Learning Techniques.
14. A Review Study on Different Machine Learning Algorithms Used for COVID Outbreak Prediction.
15. Designing a Rough-PSO-Based COVID-19 Prediction Model.
16. Transitions in Machine Learning Approaches for Healthcare-Sector Applications.
2. Future Risk Analysis of the Health Public Sector During COVID-19 Period (2020 to March 2021).
3. Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare.
4. Emerging Disruptive Technologies and Their Impact on Health Informatics.
5. Scaling Up Telemedicine in India: Moving Towards Intelligent Healthcare via Disruptions.
6. A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics.
7. Recent Trends in Wearable Technologies, Challenges and Opportunities.
8. Intelligent Depression Detection System Using Effective Hyper-Scanning Techniques.
9. Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm.
10. Blockchain for the Healthcare Sector: Application and Challenges.
11. Blockchain-Enabled Secured Medical Supply Chain Management.
12. Big Data in Healthcare: Technological Implications and Challenges.
13. An Efficient System for Predictive Analysis on Brain Cancer Using Machine Learning and Deep Learning Techniques.
14. A Review Study on Different Machine Learning Algorithms Used for COVID Outbreak Prediction.
15. Designing a Rough-PSO-Based COVID-19 Prediction Model.
16. Transitions in Machine Learning Approaches for Healthcare-Sector Applications.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data;Knowledge Discovery;Machine Learning;Predictive Analytics;Computational Intelligence;Artificial Intelligence;Health Informatics;Blockchain Technology;Wearable Devices;Support Vector Machine;Semi-supervised Learning;Feature Subset;Rough Set Theory;Ml Technique;Deep Learning Algorithm;Cfs;Augmented Reality;Con;Machine Learning Algorithms;Depression Detection;Medical Supply Chain;PSO Algorithm;Healthcare Industry;Classification Accuracy;Original Feature Set;POS;Wearable Gadgets;Gait Analysis;Indian Healthcare System;Diabetes Prediction
1. Telemedicine (e-Health, m-Health): Requirements, Challenges and Applications.
2. Future Risk Analysis of the Health Public Sector During COVID-19 Period (2020 to March 2021).
3. Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare.
4. Emerging Disruptive Technologies and Their Impact on Health Informatics.
5. Scaling Up Telemedicine in India: Moving Towards Intelligent Healthcare via Disruptions.
6. A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics.
7. Recent Trends in Wearable Technologies, Challenges and Opportunities.
8. Intelligent Depression Detection System Using Effective Hyper-Scanning Techniques.
9. Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm.
10. Blockchain for the Healthcare Sector: Application and Challenges.
11. Blockchain-Enabled Secured Medical Supply Chain Management.
12. Big Data in Healthcare: Technological Implications and Challenges.
13. An Efficient System for Predictive Analysis on Brain Cancer Using Machine Learning and Deep Learning Techniques.
14. A Review Study on Different Machine Learning Algorithms Used for COVID Outbreak Prediction.
15. Designing a Rough-PSO-Based COVID-19 Prediction Model.
16. Transitions in Machine Learning Approaches for Healthcare-Sector Applications.
2. Future Risk Analysis of the Health Public Sector During COVID-19 Period (2020 to March 2021).
3. Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare.
4. Emerging Disruptive Technologies and Their Impact on Health Informatics.
5. Scaling Up Telemedicine in India: Moving Towards Intelligent Healthcare via Disruptions.
6. A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics.
7. Recent Trends in Wearable Technologies, Challenges and Opportunities.
8. Intelligent Depression Detection System Using Effective Hyper-Scanning Techniques.
9. Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm.
10. Blockchain for the Healthcare Sector: Application and Challenges.
11. Blockchain-Enabled Secured Medical Supply Chain Management.
12. Big Data in Healthcare: Technological Implications and Challenges.
13. An Efficient System for Predictive Analysis on Brain Cancer Using Machine Learning and Deep Learning Techniques.
14. A Review Study on Different Machine Learning Algorithms Used for COVID Outbreak Prediction.
15. Designing a Rough-PSO-Based COVID-19 Prediction Model.
16. Transitions in Machine Learning Approaches for Healthcare-Sector Applications.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Big Data;Knowledge Discovery;Machine Learning;Predictive Analytics;Computational Intelligence;Artificial Intelligence;Health Informatics;Blockchain Technology;Wearable Devices;Support Vector Machine;Semi-supervised Learning;Feature Subset;Rough Set Theory;Ml Technique;Deep Learning Algorithm;Cfs;Augmented Reality;Con;Machine Learning Algorithms;Depression Detection;Medical Supply Chain;PSO Algorithm;Healthcare Industry;Classification Accuracy;Original Feature Set;POS;Wearable Gadgets;Gait Analysis;Indian Healthcare System;Diabetes Prediction
