Posters First Session:

SVM Approach to the Cry-based Diagnosis of Birth Asphyxia
Smart-Homes for eHealth: Uncertainty Management and Calibration
Tracking Parkinson’s Disease with Big Data Analytics
Taxonomizing Data Quality Errors For ICU Data: A Case Study
A Shapley Value Solution to Game Theoretic-based Feature Reduction in False Alarm Detection
Early Detection of Hepatorenal Syndrome with Cirrhosis Patient Medical Records
Treatment Allocation as Contextual Bandit
Predicting Postoperative Delirium Using Anchors
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection
Learning with Imbalanced Data by Optimal Binary Classifier for Matthews Correlation Coefficient
Prediction of Surgical Complications Using Heterogenous Clinical Data and Kernel Methods
Integration of Genomic Data for Personalized Medicine by Weighted Kernel Regression
Leveraging Deep Neural Networks as Kernels for Survival Analysis
Can Pretrained Neural Networks Detect Anatomy?
Scalable Latent Tree Model and its Application to Health Analytics
Vision-Based Hand Hygiene Monitoring in Hospitals
Leveraging Feature Hierarchy and Bootstrap Lasso to Reduce Dimensionality and Improve Interpretability
Proximity Score Matching: Using the Random Forest Proximity Matrix for Matching in Causal Inference
Correlation Between Severity of ALS and EEG Functional Connectivity during Motor Execution
Probabilistic Causality for Exploration in Biomedical Heterogeneous Data
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks
Analysis of Data-Driven Event Prediction based on Sublinear Time Retrieval of Physiological Waveforms
Learning Interpretable Clinical Prediction Rules using Threshold Group Testing
Integrating Genomic Data in a Community-based Multi-modal Viral Transmission Model for Network Inference
Integrating Antimicrobial Resistance Classification and Feature Selection on an Online Bioinformatics Platform
Early Identification of Tissue at Risk of Infarction
Classifying Clinical Trial Eligibility Criteria using Convolutional Neural Networks
Detection of hyperacusis condition in tinnitus patients based on PLSC features that link audiogram and fMRI tonotopy responses
Representation Learning for Electronic Health Record Sequences Modeling
Topic Modeling to Discover Genetically Driven Image Biomarkers
Superresolution based Medical Image Compression for Mobile Platforms
Extracting Detailed Regimen Information from Medication Order Text
Supervised Learning Methods based on Finite-State Transducers to Classify Physiological Data
Bayesian Poisson Factorization for Genetic Associations with Clinical Features in Cancer
Automated Detection of Noninvasive Imaging of Basal Cell Carcinoma by Convolutional Neural Network
Personalized Diversified Tensor Factorization for Phenotyping
Uncovering Voice Misuse Using Symbolic Mismatch
A Multi-Correlation Analysis of Cognitive Functions and Regional Cortical Morphometries on Adolescents with at Risk Addictive Behaviors

Posters Second Session:

A Data-Driven Technique for Identifying Disease-
Causing Genes in Patients with Retinal Dystrophy
Fully Bayesian Unsupervised Disease Progression Modeling
A Dynamic Ensemble Approach to Missing Data
Knowledge Transfer with Medical Language Embeddings
Transferability of 3D CNN features for Organ Detection
Predicting Extubation Readiness in Extreme Preterm Infants Using Mutual Information and SMOTE (moved to morning session)
High Expenditure Patient Prediction Using Bag-Of-Concepts Representation
Anchored Factor Analysis of Electronic Health Records
Probabilistic Disease Progression Models For Retrospective Analysis Of Cancer Health Records
Deep Temporal Generative Models of EHR Data
The Unreasonable Effectiveness of Tree-based Ensemble Classifiers in Disease Prediction
Bayesian Matrix Completion for EMR Data
Understanding Clinical Similarity through Word Embeddings
Detecting artifacts in clinical alerts from vital signs
Predicting Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test
Interactive Anomaly Detection for Pediatric Ventilator Management
A Framework for Individualized Prognosis of Disease Trajectories in Complex, Chronic Diseases: Application to Scleroderma, an Autoimmune Disease
Interpretable deep belief nets for administrative claims data
Expanding epidemiological methods to detect drug-disease associations in large populations
Classification in the Presence of Hidden Clusters with an Application in Hospitalization Prediction
Finding Sparse Features in Strongly Confounded Medical Binary Data
Computational Phenotyping via Scalable Bayesian Tensor Factorization
Discrete Switching-State Systems for ICU Vasopressor Intervention and Weaning Predictions
Hierarchical Nested CRFs for Segmentation and Labeling of Physiological Time Series
Distributed Ensemble Learning for Analyzing Nationwide Health-Insurance Databases
Uncertainty in Dynamic Matching with Application to Organ Exchange
Calibrated Confidence Measures With Guarantees
Patient Treatment Pathways Clustering
Learning Linguistic Biomarkers for Predicting Mild Cognitive Impairment using Compound Skip-grams
gLOP: A Penalized Regression Framework with Applications in Exploratory and Predictive Healthcare Data Analysis
A phenotypic model for evaluating patient drug response
HIV Therapy Selection with Incomplete Data
Bayesian Neighbourhood Estimation
Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program
Predicting Disease Progression in Chronic Hepatitis C
Distilling Knowledge from Deep Networks with Applications to Phenotype Discovery
Using Bag-of-Clinical-Events Model for Predicting Mortality in the ICU