Workshop Program

This year's workshop will be held on Friday July 13, 2018. The workshop will be held in room B5 in the conference center.

8.30 - 10.00: Session I - Invited Talk and Technical Papers (Chair: Jonathan Rubin)

• Invited Talk: The Global Open Source Severity of Illness Scale (GOSSIS): Opportunities and Challenges by Jesse D. Raffa, MIT Critical Data, Cambridge, MA
• Identification of Serious Illness Conversations in Unstructured Clinical Notes using Deep Neural Networks by Isabel Chien, Alvin Shi, Alex Chan and Charlotta Lindvall.
• Compositional Data Analysis of Type 1 Diabetes Data by Lyvia Biagi, Arthur Bertachi, Josep Antoni Martín-Fernández and Josep Vehí

10.00 - 10.30: Coffee Break

10.30 - 12.30: Session II - BGLP Challenge (Chair: Cindy Marling)

• Welcome, Introduction, and BGLP Challenge Results
• Automatic Blood Glucose Prediction with Confidence using Recurrent Neural Networks by John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson and Olof Mogren
• Dilated Recurrent Neural Network for Short-Time Prediction of Glucose Concentration by Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu and Pantelis Georgiou
• A Deep Learning Algorithm For Personalized Blood Glucose Prediction by Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen and Pantelis Georgiou
• Predicting Glycemia in Type 1 Diabetes patients: Experiments with XGBoost by Cooper Midroni, Peter Leimbigler, Gaurav Baruah, Maheedhar Kolla, Alfred Whitehead and Yan Fossat
• Prediction of Blood Glucose Levels and Nocturnal Hypoglycemia using Physiological Models and Artificial Neural Networks by Arthur Bertachi, Lyvia Biagi, Iván Contreras, Ningsu Luo and Josep Vehí
• Using Grammatical Evolution to Generate Short-Term Blood Glucose Prediction Models by Ivan Contreras, Arthur Bertachi, Lyvia Biagi, Josep Vehi and Silvia Oviedo

12.30 - 14.00: Lunch Break

14.00 - 15.30: Session III - Technical Papers (Chair: Zina Ibrahim)

• Analysis of patient Domestic Activity in Recovery from Hip or Knee Replacement Surgery: Modelling Wrist-Worn Wearable RSSI and Accelerometer Data in the Wild by Mike Holmes, Hao Song, Emma Tonkin, Miquel Perello Nieto, Sabrina Grant and Peter Flach
• Detecting Behaviour Changes in Accelerometer Data by Claudio Diaz and Kalina Yacef
• Classification of Movement Quality in a Weight-Shifting Exercise by Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Jan Harald Nilsen and Kerstin Bach
• Monitoring Health in Smart Homes Using Simple Sensors by Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser and Graeme Hamilton

15.30 - 16.00: Coffee Break

16.00 - 17.00: Session IV - Technical Papers (Chair: Kerstin Bach)

• Using Features from Pre-trained TimeNet for Clinical Predictions by Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig and Gautam Shroff.
• Towards Dataset Creation and Establishing Baselines for Sentence-Level Neural Clinical Paraphrase Generation and Simplification by Viraj Adduru, Sadid A. Hasan, Joey Liu, Yuan Ling, Vivek V Datla, Kathy Lee, Ashequl Qadir and Oladimeji Farri.
• Automatic Nursing Care Trainer Based on Machine Learning by Ankita Agrawal and Wolfgang Ertel

17.00 - 18.00: Session V - Community Discussion (Chair: Razvan Bunescu)

• Open Datasets, Transparency, and Reproducibility of Results