Biomedical Data Mining for Information Retrieval. Группа авторов

      

Table of Contents

      1  Cover

      2  Title Page

      3  Copyright

      4  Preface Introduction Organization of the Book Concluding Remarks

      5  1 Mortality Prediction of ICU Patients Using Machine Learning Techniques 1.1 Introduction 1.2 Review of Literature 1.3 Materials and Methods 1.4 Result and Discussion 1.5 Conclusion 1.6 Future Work References

      6  2 Artificial Intelligence in Bioinformatics 2.1 Introduction 2.2 Recent Trends in the Field of AI in Bioinformatics 2.3 Data Management and Information Extraction 2.4 Gene Expression Analysis 2.5 Role of Computation in Protein Structure Prediction 2.6 Application in Protein Folding Prediction 2.7 Role of Artificial Intelligence in Computer-Aided Drug Design 2.8 Conclusions References

      7  3 Predictive Analysis in Healthcare Using Feature Selection 3.1 Introduction 3.2 Literature Review 3.3 Dataset Description 3.4 Feature Selection 3.5 Feature Selection Methods 3.6 Methodology 3.7 Experimental Results and Analysis 3.8 Conclusion References

      8  4 Healthcare 4.0: An Insight of Architecture, Security Requirements, Pillars and Applications 4.1 Introduction 4.2 Basic Architecture and Components of e-Health Architecture 4.3 Security Requirements in Healthcare 4.0 4.4 ICT Pillar’s Associated With HC4.0 4.5 Healthcare 4.0’s Applications-Scenarios 4.6 Conclusion References

      9  5 Improved Social Media Data Mining for Analyzing Medical Trends 5.1 Introduction 5.2 Literature Survey 5.3 Basic Data Mining Clustering Technique 5.4 Research Methodology 5.5 Results and Discussion 5.6 Conclusion & Future Scope References

      10  6 Bioinformatics: An Important Tool in Oncology 6.1 Introduction 6.2 Cancer—A Brief Introduction 6.3 Bioinformatics—A Brief Introduction 6.4 Bioinformatics—A Boon for Cancer Research 6.5 Applications of Bioinformatics Approaches in Cancer 6.6 Bioinformatics: A New Hope for Cancer Therapeutics 6.7 Conclusion References

      11  7 Biomedical Big Data Analytics Using IoT in Health Informatics 7.1 Introduction 7.2 Biomedical Big Data 7.3 Healthcare Internet of Things (IoT) 7.4 Studies Related to Big Data Analytics in Healthcare IoT 7.5 Challenges for Medical IoT & Big Data in Healthcare 7.6 Conclusion References

      12  8 Statistical Image Analysis of Drying Bovine Serum Albumin Droplets in Phosphate Buffered Saline 8.1 Introduction