Poster Sessions

POSTER SESSION 1 (10:30 - 11:00)

 

Predicting Patient Outcomes using Learning Edit Costs based on Stochastics Finite-State Transducers.

Abiel Roche-Lima, Nelson Schwarz, Adnel Figueroa-Jiménez, Leonardo Garcia-Lebron and Patricia Ordóñez

 

Predicting Patient State-of-Health using Sliding Window and Recurrent Classifiers

Adam McCarthy and Chris Williams

 

A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data

Ahmed Alaa, Jinsung Yoon, Scott Hu and Mihaela Van Der Schaar

 

Probabilistic intensity normalization of PET/SPECT images using Variational mixture of Gamma distributions.

Alberto Llera, Ismael Huertas, Pablo Mir and Christian Beckmann

 

Large scale modeling of antimicrobial resistance with interpretable classifiers

Alexandre Drouin, Frédéric Raymond, Gaël Letarte St-Pierre, Mario Marchand, Jacques Corbeil and François Laviolette

 

Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation

An Qu, Cheng Zhang, Paul Ackermann and Hedvig Kjellström

 

Walking That Extra Mile: Robust Classification of Cardiac Condition with Semi-supervised Denoising from Heart Sound Recordings.

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal and Debayan Mukherjee

 

A Fully Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes.

Assaf Hoogi, John  Lambert, Yefeng Zheng, Dorin Comaniciu and Daniel Rubin

 

Fusion of Transferred Convolutional Neural Network Features and Radiomic Features for Breast Cancer Diagnosis.

Benjamin Huynh and Maryellen Giger

 

Semi-Supervised Sequence Learning for Continuous Digital Biomarkers.

Brandon Ballinger, Johnson Hsieh, Nimit Sohoni, Greg Marcus, Jose Sanchez, Geoff Tison and Jeff Olgin

 

Stratified Locality-Sensitive Hashing for Sublinear Time Critical Event Prediction.

Bryce Kim, Erik Hemberg and Una-May O'Reilly

  

Multi-stage clustering of Breast Cancer for Precision Medicine

Chenzhe Qian

 

Survival Prediction with Limited Features: a Top Performing Approach from the DREAM ALS Stratification Prize4Life Challenge

Christoph Kurz

 

A simple squared-error reformulation for ordinal classification

Christopher Beckham and Christopher Pal

 

Canoni calcorrelation analysis for analyzing sequences of medical billing codes

Corinne Jones, Sham Kakade, Lucas Thornblade, David Flum and Abraham Flaxman

 

Generative Adversarial Networks for Medical Decision Modelling.

Cristóbal Esteban and Volker Tresp

 

Deep Learning for Suicidal Ideation Prediction.

Cristóbal Esteban, Antonio Artés and Volker Tresp

 

Control Matching via Discharge Code Sequences

Dang Nguyen, Wei Luo, Dinh Phung and Svetha Venkatesh

 

Breast Mass Classification from Mammograms using Deep Convolutional Neural Networks.

Daniel Lévy and Arzav Jain

 

Bayesian latent variable modelling to accelerate endotype discovery in asthma and allergic diseases.

Danielle Belgrave, Raquel Granell, John Guiver, Christopher Bishop, Iain Buchan,

Angela Simpson, John Henderson and Adnan Custovic

 

A Bayesian Approach to Predicting Disengaged Youth

David Kohn, Sally Cripps, Nick Glozier and Hugh Durrant-Whyte

 

Machine Learning in Textual Data of Cardiovascular Disease via Phrase Mining and Network Embedding.

David Liem, Doris Xin, Vincent Kyi, Quan Cao, Leah Briscoe, Fangbo Tao, Karol Watson, Jiawei Han and Peipei Ping

 

Understanding Anatomy Classification Through Visualization

Devinder Kumar and Vlado Menkovski

 

A deep learning framework to predict survival from medical images of lung cancer patients.

Edward Lee, Mu Zhou, Olya Grove, Yoganand Balagurunathan, Sebastian Echegaray, Robert Robert Gillies, Noah Gamboa, Boris Murmann, Sandy Napel, Simon Wong and Olivier Gevaert

 

Transfer Learning via Latent Factor Modeling to Improve Prediction of Surgical Complications.  Elizabeth Lorenzi, Zhifei Sun, Erich Huang, Ricardo Henao and Katherine Heller

 

A new pediatric early warning score: predicting rare events using medical record data in real time.

Erika Strandberg, Catherine Ross, Natalie Pageler and Mohsen Bayati

 

Demographical Priors for Health Conditions Diagnosis Using Medicare Data

Fahad Alhasoun, May Alhazzani and Marta Gonzalez

   

Challenges and preliminary outcomes of real world data analytics based on the national e-prescription of Greece: The use case of Diabetes Mellitus.

George Dafoulas, Stavros Liatis, Petros Sfikakis and Konstantinos Makrilakis

 

Time-series clustering for discovering trajectories of physiological deterioration in post-operative care.

Hamish Tomlinson, Marco Pimentel, Peter Watkinson and Lionel Tarassenko

 

The Use of Autoencoders for Discovering Patient Phenotypes.

Harini Suresh and Marzyeh Ghassemi

 

Estimation of Basic Reproduction Number R0 using a Recurrent Neural Network.

Heidi Tessmer and Ryosuke Omori

 

  

POSTER SESSION 2 (3:00 - 3:30)

 

Learning Cost-Effective and Interpretable Treatment Regimes

Himabindu Lakkaraju and Cynthia Rudin

 

Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment

Imon Banerjee, Lewis Hahn, Geoffrey Sonn, Richard Fan and Daniel Rubin

 

Using Deep Learning to Estimate Systolic and Diastolic volumes from CMR-images

Jeroen Burms, Jonas Degrave, Iryna Korshunova and Joni Dambre

 

Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks

Jessa Bekker, Arjen Hommersom, Martijn Lappenschaar and Jesse Davis

 

An Adaptive filtering Testing Procedure for Repeated Effects

Jingshu Wang, Art Owen and Chiara Sabatti

 

Stratification of patient trajectories using covariate latent variable models

Kieran Campbell and Christopher Yau

 

Ranking Biomarkers Through Mutual Information

Konstantinos Sechidis, Emily Turner, Paul Metcalfe, James Weatherall and Gavin Brown

 

The Opioid Atlas

Kris Sankaran, Suzanne Tamang and Ami Bhatt

 

Modeling trajectories of mental health: challenges and opportunities

Lauren Erdman, Ekansh  Sharma, Eva Unternaehrer, Shantala H Dass, Anna Goldenberg, Michael Meaney, Michael Kobor, Sara Mostafavi, Helene Gaudreau and Rachel Edgar

 

Positive blood culture detection in time series data using a BiLSTM network

Leen De Baets, Joeri Ruyssinck, Thomas Peiffer, Johan Decruyenaere, Filip De Turck, Femke Ongenae and Tom Dhaene

 

Sparse Multivariate Gaussian Processes for Medical Time-Series Prediction

Li-Fang Cheng, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li and Barbara Engelhardt

 

Phenotyping immune responses in asthma and respiratory infections -- A systems approach

Lijing Lin, Danielle Belgrave, Adnan Custovic and Magnus Rattray

 

Partially blind domain adaptation for age prediction from DNA methylation data

Lisa Handl, Adrin Jalali, Michael Scherer and Nico Pfeifer

 

Data driven techniques to optimise the management of septic shock

Matthieu Komorowski

 

A Markov Decision Process to suggest optimal treatment of severe

infections in intensive care

Matthieu Komorowski, Anthony Gordon, Leo Anthony Celi and Aldo Faisal

 

Supervised topic models for clinical interpretability

Michael Hughes, Melih Elibol, Thomas McCoy, Roy Perlis and Finale Doshi-Velez

 

Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data

Michal Ozery-Flato, Chen Yanover, Assaf Gottlieb, Omer Weissbrod, Naama Parush Shear-Yashuv and Yaara Goldschmidt

 

On the Challenges of using Propensity Score Matching to study ICU patients

Miguel Paredes, Una-May O'Reilly and Erik Hemberg

 

Multi-task Learning in the Computerized Diagnosis of Breast Cancer on DCE-MRIs

Natalia Antropova, Benjamin Huynh and Maryellen Giger

 

Multi-task Learning for Predicting Health, Stress, and Happiness

Natasha Jaques, Sara Taylor, Ehimwenma Nosakhare, Akane Sano and Rosalind Picard

 

Deep Recurrent Models for Prediction of ICU Mortality and Sepsis

Nathan Hunt and Marzyeh Ghassemi

 

Compliance-AwareBandits

Nicolas Della Penna, Mark Reid and David Balduzzi

 

Towards multiple kernel principal component analysis for

integrative analysis of tumor samples.

Nora  Speicher and Nico Pfeifer

 

Neural Document Embeddings for Intensive Care Patient Mortality Prediction.

Paulina Grnarova, Florian Schmidt, Stephanie Hyland and Carsten Eickhoff

 

Learning what to look in chest X-rays with a recurrent visual attention model.

Petros-Pavlos Ypsilantis and Giovanni Montana

 

Identifying and Categorizing Anomalies in Retinal Imaging Data

Philipp Seeböck, Sebastian Waldstein, Sophie Klimscha, Bianca Gerendas, René Donner, Thomas Schlegl, Ursula Schmidt-Erfurth and Georg Langs

 

Learning from an expert in anesthesia.

Pierre Humbert, Julien Audiffren, Clément Dubost and Laurent Oudre

 

A Novel Classification Framework for Characterization of

Dysmorphologic Syndromes Using 3D Facial Topography.

Poay Hoon Lim, Jordan Bannister, Francois Bernier, Richard Spritz, Ophir Klein, Nick Mahasuwan, Sheri Riccardi, Jacinda Larson, David Aponte, Benedikt Hallgrimsson and Nils Forkert

 

Filter sharing: Efficient learning of parameters for volumetric convolutions.

Rahul Venkataramani, Sudhakar Prasad, Sheshadri Thiruvenkadam, Hariharan Ravishankar and Vivek Vaidya

 

MusculoSkeletal Modeling Using Kinect Data For Telerehabilitation

Rajat Das, Soumya Ranjan Tripathy, Kingshuk Chakravarty, Debatri Chatterjee, Aniruddha Sinha and Rupam Chaudhury


Diagnostic Prediction Using Discomfort Drawings

Cheng Zhang, Hedvig Kjellstrom and Bo C Bertilson

 

POSTER SESSION 3 (5:00 - 5:30)

 

Bayesian clustering identifies allergic response patterns

that are predictive of clinical outcomes

Rebecca Howard, Magnus Rattray and Panagiotis Papastamoulis

 

Multi-study factor model in dietary pattern analysis

Roberta de Vito

 

Sub-linear Privacy-preserving Search with Unsecured Server and Semi-honest Parties

Sadegh Riazi, Beidi Chen, Anshumali Shrivastava, Dan Wallach and Farinaz Koushanfar

 

A temporal model for multiple sclerosis course evolution

Samuele Fiorini, Andrea Tacchino, Giampaolo Brichetto, Alessandro Verri and Annalisa Barla

 

Variational Adversarial Deep Domain Adaptation for Health Care Time Series Analysis

Sanjay Purushotham, Wilka Carvalho and Yan Liu

 

Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging andneurodegenerative disease modeling

Santi Puch, Asier Aduriz, Adrià Casamitjana, Veronica Vilaplana, Paula Petrone, Grégory Operto, Raffaele Cacciaglia, Stavros Skouras, Carles Falcon, Jose Luis Molinuevo and Juan Domingo Gispert

 

Clustering of Longitudinal Urine Toxicology Data  extended abstract

Sean Luo, Galen Xing, Jeff Goldsmith and Edward Nunes

 

EHR-based predictive models for adverse outcomes on the wards using partial least squares classification model.

Shirin Shahriari, André Gomes, José Almeida and Ana Azevedo

 

HealthAdvisor:Recommendation System for Wearable Technologies enabling Proactive HealthMonitoring

Shubhi Asthana, Ray Strong and Aly Megahed

 

Towards Wide Learning: Experiments in Healthcare.

Snehasis Banerjee, Tanushyam Chattopadhyay, Swagata Biswas, Rohan Banerjee, Anirban Dutta Choudhury, Arpan Pal and Utpal Garain

 

Combining Kernel and Model Based Learning for HIV Therapy Selection.

Sonali Parbhoo, Volker Roth and Finale Doshi-Velez

 

Multi-Organ Cancer Classification and Survival Analysis

Stefan Bauer, Nicolas Carion, Peter Schüffler, Joachim M  Buhmann, Peter Wild and Thomas Fuchs

 

Predicting Changes in Affective States using Neural Networks

Stina Lyck Cartsensen, Jens Madsen and Jan Larsen

 

Deep neural heart rate variability analysis

Tamas Madl

 

Learning Biomarkers for Alzheimer’s Disease from Shape Attributes of Brain Structures.

Tanya Glozman, Justin Solomon, Franco Pestilli and Leonidas Guibas

 

Transfer Learning Across Patient Variations with Hidden Parameter Markov Decision Processes.

Taylor Killian, Finale Doshi-Velez and George Konidaris

 

Generating Clinical Text from Dialogue.

Teppei Nakano

 

Quantifying Dose Response Relationships Between Physical Activity and Health Using Propensity Scores.

Tim Althoff, Rok Sosic, Jen Hicks, Abby King, Scott Delp and Jure Leskovec

 

Intra-day Activity Better Predicts Chronic Conditions

Tom Quisel, Luca Foschini and David Kale

 

A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction.

Turki Turki and Zhi Wei

 

A Machine-Compiled Database of Genome-Wide Association Studies.

Volodymyr Kuleshov. Braden Hancock, Alexander Ratner, Christopher Re, Serafim Batzoglou and Michael Snyder

 

Diet2Vec:Multi-scale analysis of massive dietary data.

Wesley Tansey, Edward W Lowe and James Scott

 

Toward the Creation a Large Corpus of Synthetically-Identified Clinical Notes.

Willie Boag, Tristan Naumann and Peter Szolovits

 

Meta-regression trees: a tool to identify effective combinations of intervention components in meta-analysis.

Xinru Li, Elise Dusseldorp and Jacqueline Meulman

 

Learning to count and classify mosquitoes for the Sterile Insect Technique.

Yaniv Ovadia, Yoni Halpern, Dilip Krishnan, Josh Livni, Daniel Newburger, Ryan Poplin, Tiantian Zha and D. Sculley

 

Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding.

Yinchong Yang, Peter Fasching and Volker Tresp

 

Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning

Yunzhu Li, Andre Esteva, Brett Kuprel, Rob Novoa, Justin Ko and Sebastian Thrun

 

Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.

Zeshan Hussain, Francisco Gimenez, Darvin Yi and Daniel Rubin

 

Exploiting Convolutional Neural Network for Risk Prediction with Medical Feature Embedding.

Zhengping Che, Yu Cheng, Zhaonan Sun and Yan Liu 


Improving Hemoglobin A1c Prediction by Leveraging Participant Similarity 

Chia-Ying Lee, Amy McKenzie and David Bill


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