Intro
Preface
Organization
Contents
Part III
Biomedical Information
Classification of Neuroblastoma Histopathological Images Using Machine Learning
1 Introduction
2 Methodology
2.1 Dataset
2.2 Experimental Setup
3 Results
4 Discussion
5 Conclusion
References
Data Mining ENCODE Data Predicts a Significant Role of SINA3 in Human Liver Cancer
1 Introduction
2 Methods
3 Results
3.1 Co-location of TFBS Analysis
3.2 HBV-transfection Effect on Histone Modification
4 Discussion
References

Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss
1 Introduction
2 Related Work
3 Methodology
3.1 Proposed Approach
3.2 Dataset
3.3 Data Pre-processing
3.4 Metrics for Performance Evaluation
4 Experimental Results and Discussion
5 Analysis
6 Conclusion
References
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength
1 Introduction
2 Materials and Methods
3 Proposed Enhancer-DSNet Methodology
4 Benchmark Dataset

5 Evaluation Metrics
6 Experimental Setup and Results
6.1 Results
7 Conclusion
References
Machine Learned Pulse Transit Time (MLPTT) Measurements from Photoplethysmography
1 Introduction
2 Design
2.1 Machine Learned Pulse Transit Time
2.2 HeartPy Pulse Transit Time
3 Analysis
3.1 Methods
4 Results
4.1 BIDMC Patient 6 Drilldown
5 Discussion
5.1 Limitations
6 Conclusion
References
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction
1 Introduction
2 Related Work
3 Methodology
3.1 Pre-processing

3.2 Feature Selection
3.3 LAT Prediction
4 Experimental Study
4.1 Dataset and Experiment Configuration
4.2 Evaluation Metrics and Baseline
4.3 Results and Discussion
5 Conclusion and Future Work
References
Neural Data Analysis
Decoding Olfactory Cognition: EEG Functional Modularity Analysis Reveals Differences in Perception of Positively-Valenced Stimuli
1 Introduction
2 Methodology
2.1 Recruitment of Participants
2.2 Experimental Protocol
2.3 EEG Data Acquisition and Preprocessing
2.4 EEG Data Analysis
Community Detection
3 Results

3.1 Partitioning the Functional Connectivity Networks
3.2 Inter-module Metrics
3.3 Intra-module Metrics
4 Discussion
4.1 Alterations in the Inter-module Metrics in the Community Functional Connectivity Organisation
4.2 Variations in the Intra-module Metrics in the Community Functional Connectivity Organisation
5 Conclusions
A Appendix: Anatomical Segregation of ROIs in Communities
References
Identifying Motor Imagery-Related Electroencephalogram Features During Motor Execution
1 Introduction
2 Method
2.1 Experiment and Preprocessing Procedure