Handbook on Intelligent Healthcare Analytics. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Техническая литература
Год издания: 0
isbn: 9781119792536
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rel="nofollow" href="#ulink_c3f5bb70-277a-5759-8902-8c77cfcf0f0b">9.2 Healthcare Data 9.3 Recent Works in Big Data Analytics in Healthcare Data 9.4 Healthcare Big Data 9.5 Privacy of Healthcare Big Data 9.6 Privacy Right by Country and Organization 9.7 How Blockchain is Big Data Usable for Healthcare 9.8 Blockchain Threats and Medical Strategies Big Data Technology 9.9 Conclusion and Future Research References

      14  10 Predictive and Descriptive Analysis for Healthcare Data 10.1 Introduction 10.2 Motivation 10.3 Conclusion References

      15  11 Machine and Deep Learning Algorithms for Healthcare Applications 11.1 Introduction 11.2 Artificial Intelligence, Machine Learning, and Deep Learning 11.3 Machine Learning 11.4 Advantages of Using Deep Learning on Top of Machine Learning 11.5 Deep Learning Architecture 11.6 Medical Image Analysis using Deep Learning 11.7 Deep Learning in Chest X-Ray Images 11.8 Machine Learning and Deep Learning in Content-Based Medical Image Retrieval 11.9 Image Retrieval Performance Metrics 11.10 Conclusion References

      16  12 Artificial Intelligence in Healthcare Data Science with Knowledge Engineering 12.1 Introduction 12.2 Literature Review 12.3 AI in Healthcare 12.4 Data Science and Knowledge Engineering for COVID-19 12.5 Proposed Architecture and Its Implementation 12.6 Conclusions and Future Work References

      17  13 Knowledge Engineering Challenges in Smart Healthcare Data Analysis System 13.1 Introduction 13.2 Ongoing Research on Intelligent Decision Support System 13.3 Methodology and Architecture of the Intelligent Rule-Based System 13.4 Creating a Rule-Based System using Prolog 13.5 Results and Discussions 13.6 Conclusion 13.7 Acknowledgments References

      18  14 Big Data in Healthcare: Management, Analysis, and Future Prospects 14.1 Introduction 14.2 Breast Cancer: Overview 14.3 State-of-the-Art Technology in Treatment of Cancer 14.4 Early Diagnosis of Breast Cancer: Overview 14.5 Literature Review 14.6 Machine Learning Algorithms 14.7 Result and Discussion 14.8 Experimental Result and Discussion 14.9 Conclusion References

      19  15 Machine Learning for Information Extraction, Data Analysis and Predictions in the Healthcare System 15.1 Introduction 15.2 Machine Learning in Healthcare 15.3 Types of Learnings in Machine Learning 15.4 Types of Machine Learning Algorithms 15.5 Machine Learning for Information Extraction 15.6 Predictive Analysis in Healthcare 15.7 Conclusion References

      20  16 Knowledge Fusion Patterns in Healthcare 16.1 Introduction 16.2 Related Work 16.3 Materials and Methods 16.4 Proposed System 16.5 Results and Discussion 16.6 Conclusion and Future Work References

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