Bioinformatics and Biomedical Engineering

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Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Bioinformatics for Healthcare and Diseases -- Developing a DEVS-JAVA Model to Simulate and Pre-test Changes to Emergency Care Delivery in a Safe and Efficient Manner -- Abstract -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Modeling and Simulation Goals -- 2 Materials and Methods -- 2.1 Models Developed -- 3 Results -- 4 Discussion and Conclusions -- Acknowledgments -- Appendix - Selected Pseudo Code Segments -- References -- Concept Bag: A New Method for Computing Concept Similarity in Biomedical Data -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 DE Alignment Measurement -- 3 Results and Discussion -- 4 Conclusions -- Acknowledgements -- References -- A Reliable Method to Remove Batch Effects Maintaining Group Differences in Lymphoma Methylation Case Study -- 1 Introduction -- 2 Case Study -- 3 Remby: Batch Effects Removal Preserving Group Differences in Methylation Lymphoma Data -- 4 Results -- 5 Conclusion -- References -- Predict Breast Tumor Response to Chemotherapy Using a 3D Deep Learning Architecture Applied to DCE-MRI Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Method and Material -- 3.1 Data -- 3.2 Data Preprocessing -- 3.3 CNN Architecture and Training -- 3.4 Data Augmentation and Model Evaluation -- 4 Results -- 5 Discussion and Conclusion -- Acknowledgments -- References -- Data Fusion for Improving Sleep Apnoea Detection from Single-Lead ECG Derived Respiration -- Abstract -- 1 Introduction -- 2 Techniques for EDR Extraction -- 2.1 QRS Complex Estimation -- 2.2 EDR Estimation -- 3 Algorithms for Identifying Sleep Apnoea -- 4 Results of the Algorithms Based on EDR Signal -- 5 Fusion of the CSA Detection Algorithm Results -- 6 Conclusions -- Acknowledgment -- References

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