| Vol-2429 urn:nbn:de:0074-2429-8 Copyright © 2019 for the individual papers by the papers' authors. Copyright © 2019 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# KDH 2019
International Workshop on Knowledge Discovery in Healthcare Data

### Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data
co-located with the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)

### Macao, China, August 10th, 2019.

Edited by

### Nirmalie Wiratunga *
Frans Coenen **
Sadiq Sani ***

* Robert Gordon University, School of Computing Science and Digital Media, Aberdeen, United Kingdom
** University of Liverpool, Department of Computer Science, Liverpool, United Kingdom
*** BT Applied Research Lab, Adastral Park, Ipswich, United Kingdom

## Table of Contents

- Preface

### Frameworks and Repositories

- Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based Medicine 1-5
  Micheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd
- Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK Biobank 6-14
  Spiros Denaxas, Helen Parkinson, Natalie Fitzpatrick, Cathie Sudlow, Harry Hemingway

### Machine Learning and Classification

- Explaining Deep Classification of Time-Series Data with Learned Prototypes 15-22
  Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar
- Feature Visualisation of Classification of Diabetic Retinopathy Using a Convolutional Neural Network 23-29
  Harry Pratt, Frans Coenen, Simon P. Harding, Deborah M. Broadbent, Yalin Zheng
- Tick Parasitism Classification from Noisy Medical Records 30-34
  James O ' Neill, Danushka Bollegala, Peter Noble, Alan Radford
- Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data 35-42
  Jackson A. Killian, Kevin M. Passino, Arnab Nandi, Danielle R. Madden, John Clapp

### Applications

- Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials 43-49
  Hossein Aboutalebi, Doina Precup, Tibor Schuster
- Extracting Supporting Evidence from Medical Negligence Claim Texts 50-54
  Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson
- Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical Knowledge 55-59
  Lujing Xiao, Chuanpan Zheng, Xiaoliang Fan, Yi Xie, Rongshan Yu

### Position Papers

- Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention 60-67
  Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Kay Cooper, Zina Ibrahim, Oya Celikutan, Richard Dobson, Stephen McKenna, Jacqui Morris, Annalu Waller, Raed Abd-Alhammed, Rami Qahwaji, Ray Chaudhuri

2019-08-07: submitted by Sadiq Sani, metadata incl. bibliographic data published under Creative Commons CC0
2019-08-21: published on CEUR-WS.org |valid HTML5|