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Data science has the potential to influence and improve fundamental services like the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare. Every human body produces 2 terabytes of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, like data science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients. The book focuses on the potential and the tools of data science to identify illness signs at an extremely early stage.…mehr
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Data science has the potential to influence and improve fundamental services like the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare. Every human body produces 2 terabytes of data each day. This information covers brain activity, stress level, heart rate, blood sugar level, and many other things. More sophisticated technology, like data science, allows clinicians and researchers to handle such a massive volume of data to track the health of patients. The book focuses on the potential and the tools of data science to identify illness signs at an extremely early stage.
Produktdetails
- Produktdetails
- Verlag: Elsevier Science
- Seitenzahl: 255
- Erscheinungstermin: 1. Oktober 2024
- Englisch
- ISBN-13: 9780443240287
- ISBN-10: 0443240280
- Artikelnr.: 70357882
- Verlag: Elsevier Science
- Seitenzahl: 255
- Erscheinungstermin: 1. Oktober 2024
- Englisch
- ISBN-13: 9780443240287
- ISBN-10: 0443240280
- Artikelnr.: 70357882
Dr Seifedine Kadry has a Bachelor degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.
1. PPH 4.0: A privacy-preserving Health 4.0 framework with ML and CA 2. An
Automatic Detection and Severity Levels of Covid-19 Using CNN Models 3.
Biosensors and Disease Diagnostics in Medical Field 4. Brain Tumor
Recognition and Classification Techniques 5. Identifying the Features and
Attributes of various AI-based Healthcare Models 6. Classification in
Medical Applications Data Set Using Optimization Techniques 7. A Knowledge
Discovery framework for Coronavirus Disease 2019 (COVID -19) disease from
PubMed Abstract using Association Rule Hypergraph (AR-Hypergraph) 8.
Predictive Analysis in Healthcare Using Data Science: Leveraging Big Data
for Improved Patient Care 9. Data Science in Medical Field: Advantages,
Challenges and Opportunities 10. Decentralizing Healthcare Through Parallel
Blockchain Architecture: Transmitting IoMT Data Through Smart Contracts in
Telecare Medical Information Systems 11. Machine Learning in Heart Disease
Prediction 12. Au-Net Based Approaches for Brain Tumor Segmentation 13.
Explainable Image Recognition Models for Aiding Radiologists in Clinical
Decision-Making 14. Prediction of heart failure disease using
classification algorithms along with performance parameters 15. Cancer
Survival Prediction Using Artificial Intelligence: Current Status and
Future Prospects 16. Heart Disease Prediction in Pregnant Women with
Diabetes Using Machine Learning 17. Health Care Using Image Recognition
Technology 18. Integration of Deep Learning and Blockchain Technology for a
Smart Healthcare Record Management System 19. IoT-Based Smart Health and
Attendance Monitoring System in an Institution for Covid-19 20. Medical
Diagnosis Using Image Processing Techniques 21. Harnessing the Potential of
Predictive Analytics and Machine Learning in Healthcare: Empowering
Clinical Research and Patient Care 22. Predictive analysis in healthcare
using Data Science 23. Recommender Systems in Health Care- An Emerging
Technology 24. Robotics: Challenges and Opportunities in Healthcare 25. A
new era of the healthcare industry using IoT: Internet of Medical Things
(IoMT) 26. Single Cell Genomics Unleashed: Exploring the Landscape of
Endometriosis with Machine Learning, Gene Expression Profiling, and
Therapeutic Target Discovery 27. Analyzing the Success of the Thriving
Machine Prediction Model (TMPM) for Parkinson’s Disease Prognosis: A
Comprehensive Review
Automatic Detection and Severity Levels of Covid-19 Using CNN Models 3.
Biosensors and Disease Diagnostics in Medical Field 4. Brain Tumor
Recognition and Classification Techniques 5. Identifying the Features and
Attributes of various AI-based Healthcare Models 6. Classification in
Medical Applications Data Set Using Optimization Techniques 7. A Knowledge
Discovery framework for Coronavirus Disease 2019 (COVID -19) disease from
PubMed Abstract using Association Rule Hypergraph (AR-Hypergraph) 8.
Predictive Analysis in Healthcare Using Data Science: Leveraging Big Data
for Improved Patient Care 9. Data Science in Medical Field: Advantages,
Challenges and Opportunities 10. Decentralizing Healthcare Through Parallel
Blockchain Architecture: Transmitting IoMT Data Through Smart Contracts in
Telecare Medical Information Systems 11. Machine Learning in Heart Disease
Prediction 12. Au-Net Based Approaches for Brain Tumor Segmentation 13.
Explainable Image Recognition Models for Aiding Radiologists in Clinical
Decision-Making 14. Prediction of heart failure disease using
classification algorithms along with performance parameters 15. Cancer
Survival Prediction Using Artificial Intelligence: Current Status and
Future Prospects 16. Heart Disease Prediction in Pregnant Women with
Diabetes Using Machine Learning 17. Health Care Using Image Recognition
Technology 18. Integration of Deep Learning and Blockchain Technology for a
Smart Healthcare Record Management System 19. IoT-Based Smart Health and
Attendance Monitoring System in an Institution for Covid-19 20. Medical
Diagnosis Using Image Processing Techniques 21. Harnessing the Potential of
Predictive Analytics and Machine Learning in Healthcare: Empowering
Clinical Research and Patient Care 22. Predictive analysis in healthcare
using Data Science 23. Recommender Systems in Health Care- An Emerging
Technology 24. Robotics: Challenges and Opportunities in Healthcare 25. A
new era of the healthcare industry using IoT: Internet of Medical Things
(IoMT) 26. Single Cell Genomics Unleashed: Exploring the Landscape of
Endometriosis with Machine Learning, Gene Expression Profiling, and
Therapeutic Target Discovery 27. Analyzing the Success of the Thriving
Machine Prediction Model (TMPM) for Parkinson’s Disease Prognosis: A
Comprehensive Review
1. PPH 4.0: A privacy-preserving Health 4.0 framework with ML and CA 2. An
Automatic Detection and Severity Levels of Covid-19 Using CNN Models 3.
Biosensors and Disease Diagnostics in Medical Field 4. Brain Tumor
Recognition and Classification Techniques 5. Identifying the Features and
Attributes of various AI-based Healthcare Models 6. Classification in
Medical Applications Data Set Using Optimization Techniques 7. A Knowledge
Discovery framework for Coronavirus Disease 2019 (COVID -19) disease from
PubMed Abstract using Association Rule Hypergraph (AR-Hypergraph) 8.
Predictive Analysis in Healthcare Using Data Science: Leveraging Big Data
for Improved Patient Care 9. Data Science in Medical Field: Advantages,
Challenges and Opportunities 10. Decentralizing Healthcare Through Parallel
Blockchain Architecture: Transmitting IoMT Data Through Smart Contracts in
Telecare Medical Information Systems 11. Machine Learning in Heart Disease
Prediction 12. Au-Net Based Approaches for Brain Tumor Segmentation 13.
Explainable Image Recognition Models for Aiding Radiologists in Clinical
Decision-Making 14. Prediction of heart failure disease using
classification algorithms along with performance parameters 15. Cancer
Survival Prediction Using Artificial Intelligence: Current Status and
Future Prospects 16. Heart Disease Prediction in Pregnant Women with
Diabetes Using Machine Learning 17. Health Care Using Image Recognition
Technology 18. Integration of Deep Learning and Blockchain Technology for a
Smart Healthcare Record Management System 19. IoT-Based Smart Health and
Attendance Monitoring System in an Institution for Covid-19 20. Medical
Diagnosis Using Image Processing Techniques 21. Harnessing the Potential of
Predictive Analytics and Machine Learning in Healthcare: Empowering
Clinical Research and Patient Care 22. Predictive analysis in healthcare
using Data Science 23. Recommender Systems in Health Care- An Emerging
Technology 24. Robotics: Challenges and Opportunities in Healthcare 25. A
new era of the healthcare industry using IoT: Internet of Medical Things
(IoMT) 26. Single Cell Genomics Unleashed: Exploring the Landscape of
Endometriosis with Machine Learning, Gene Expression Profiling, and
Therapeutic Target Discovery 27. Analyzing the Success of the Thriving
Machine Prediction Model (TMPM) for Parkinson’s Disease Prognosis: A
Comprehensive Review
Automatic Detection and Severity Levels of Covid-19 Using CNN Models 3.
Biosensors and Disease Diagnostics in Medical Field 4. Brain Tumor
Recognition and Classification Techniques 5. Identifying the Features and
Attributes of various AI-based Healthcare Models 6. Classification in
Medical Applications Data Set Using Optimization Techniques 7. A Knowledge
Discovery framework for Coronavirus Disease 2019 (COVID -19) disease from
PubMed Abstract using Association Rule Hypergraph (AR-Hypergraph) 8.
Predictive Analysis in Healthcare Using Data Science: Leveraging Big Data
for Improved Patient Care 9. Data Science in Medical Field: Advantages,
Challenges and Opportunities 10. Decentralizing Healthcare Through Parallel
Blockchain Architecture: Transmitting IoMT Data Through Smart Contracts in
Telecare Medical Information Systems 11. Machine Learning in Heart Disease
Prediction 12. Au-Net Based Approaches for Brain Tumor Segmentation 13.
Explainable Image Recognition Models for Aiding Radiologists in Clinical
Decision-Making 14. Prediction of heart failure disease using
classification algorithms along with performance parameters 15. Cancer
Survival Prediction Using Artificial Intelligence: Current Status and
Future Prospects 16. Heart Disease Prediction in Pregnant Women with
Diabetes Using Machine Learning 17. Health Care Using Image Recognition
Technology 18. Integration of Deep Learning and Blockchain Technology for a
Smart Healthcare Record Management System 19. IoT-Based Smart Health and
Attendance Monitoring System in an Institution for Covid-19 20. Medical
Diagnosis Using Image Processing Techniques 21. Harnessing the Potential of
Predictive Analytics and Machine Learning in Healthcare: Empowering
Clinical Research and Patient Care 22. Predictive analysis in healthcare
using Data Science 23. Recommender Systems in Health Care- An Emerging
Technology 24. Robotics: Challenges and Opportunities in Healthcare 25. A
new era of the healthcare industry using IoT: Internet of Medical Things
(IoMT) 26. Single Cell Genomics Unleashed: Exploring the Landscape of
Endometriosis with Machine Learning, Gene Expression Profiling, and
Therapeutic Target Discovery 27. Analyzing the Success of the Thriving
Machine Prediction Model (TMPM) for Parkinson’s Disease Prognosis: A
Comprehensive Review