Vol-2147⫷ Vol-2148 ⫸Vol-2149
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

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
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