| Vol-2148 urn:nbn:de:0074-2148-8 Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# KDH@IJCAI-ECAI 2018
The 3rd International Workshop on Knowledge Discovery in Healthcare Data

### Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data
co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018)

### Stockholm, Schweden, July 13, 2018.

Edited by

### Kerstin Bach *
Razvan Bunescu **
Oladimeji Farri ***
Aili Guo ****
Sadid Hasan ***
Zina M. Ibrahim *****,******
Cindy Marling **
Jesse Raffa *******
Jonathan Rubin ***
Honghan Wu ********

* Norwegian University of Science and Technology, Department of Computer Science, Sem Sælandsvei 9, NO-7491 Trondheim, Norway
** Ohio University, School of Electrical Engineering and Computer Science, Russ College of Engineering and Technology, Athens, OH 45701
*** Philips Research Americas, 2 Canal Park, 3rd Floor, Cambridge, MA 02141, USA
**** Ohio University, The Diabetes Institute, Athens, OH 45701, USA
***** King's College London, Department of Biostatistics and Health Informatics, Denmark Hill, London, United Kingdom
****** University College London, The Farr Institute of Health Informatics Research, 222 Euston Road, London, United Kingdom
******* Massachusetts Institute of Technology, Laboratory for Computational Physiology MIT, E25-505, 77 Massachusetts Ave., Cambridge, MA 02139
******** University of Edinburgh, Centre for Medical Informatics, Usher Institute, Edinburgh, United Kingdom

## Table of Contents

### Front Matter

- Cover Page
- Preface & Programme Committee
- Table of Contents

### Main Content

- Compositional Data Analysis of Type 1 Diabetes Data 8-12
  Lyvia Biagi, Josep Antoni Martin-Fernandex, Josep Vehi
- Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The Wild 13-20
  Mike Holmes, Hao Song, Emma Tonkin Miquel Perello Nieto, Sabrina Grant, Peter Flach
- Detecting Behaviour Changes in Accelerometer Data 21-26
  Claudio Diazand, Kalina Yacef
- Cassification of Movement Quality in A Weight-shifting Exercise 27-32
  Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Jan Harald Nilsen, Kerstin Bach
- Monitoring Health In Smart Homes Using Simple Sensors 33-37
  Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton
- Using Features From Pre-trained TimeNET For Clinical Predictions 38-44
  Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
- Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification 45-52
  Viraj Adduru, Sadid A. Hasan, Joey Liu, Yuan Ling, Vivek V Datla, Ashequl Qadir, Oladimeji Farri
- Automatic Nursing Care Trainer Based on Machine Learning 53-59
  Ankita Agrawal, Wolfgang Erte
- The OhioT1DM Dataset For Blood Glucose Level Prediction 60-63
  Cindy Marling, Razvan Bunescu
- Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks 64-68
  John Martinsson, Alexander Schliep, Bjorn Eliasson, Christian Meijner, Simon Persson, Olof Mogren
- Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration 69-73
  Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou
- A Deep Learning Algorithm for Personalized Blood Glucose Prediction 64-78
  Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou
- Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost 79-84
  Cooper Midroni, Peter Leimbigler, Gaurav Baruah, Maheedhar Kolla, Alfred Whitehead, Yan Fossat
- Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks 85-90
  Arthur Bertachi, Lyvia Biagi, Ivan ́Contreras, Ningsu Luo, Josep Vehi
- Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models 91-96
  Ivan Contreras, Arthur Bertachi, Lyvia Biagi, Josep Vehi, Silvia Oviedo
- Benchmark Machine Learning Approaches with Classical Time Series Approaches on the Blood Glucose Level Prediction Challenge 97-102
  Jinyu Xie, Qian Wang

2018-07-25: submitted by Zina M. Ibrahim, metadata incl. bibliographic data published under Creative Commons CC0
2018-07-25: published on CEUR-WS.org |valid HTML5|