Abstract is missing.
- Correcting Crowdsourced Annotations to Improve Detection of Outcome Types in Evidence Based MedicineMicheal Abaho, Danushka Bollegala, Paula Williamson, Susanna Dodd. 1-5 [doi]
- Analysing the Heterogeneity of Rule-Based EHR Phenotyping Algorithms in CALIBER and the UK BiobankSpiros Denaxas, Helen Parkinson, Natalie Fitzpatrick, Cathie Sudlow, Harry Hemingway. 6-14 [doi]
- Explaining Deep Classification of Time-Series Data with Learned PrototypesAlan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar. 15-22 [doi]
- Feature Visualisation of Classification of Diabetic Retinopathy Using a Convolutional Neural NetworkHarry Pratt, Frans Coenen, Yalin Zheng. 23-29 [doi]
- Tick Parasitism Classification from Noisy Medical RecordsJames O'Neill, Danushka Bollegala, Peter-J. Noble, Alan Radford. 30-34 [doi]
- Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer DataJackson A. Killian, Kevin M. Passino, Arnab Nandi, Danielle R. Madden, John D. Clapp. 35-42 [doi]
- Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical TrialsHossein Aboutalebi, Doina Precup, Tibor Schuster. 43-49 [doi]
- Extracting Supporting Evidence from Medical Negligence Claim TextsRobert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson. 50-54 [doi]
- Predicting ICU Mortality from Heterogeneous Clinical Events with Prior Medical KnowledgeLujing Xiao, Chuanpan Zheng, Xiaoliang Fan, FYi Xie, Rongshan Yu. 55-59 [doi]
- Learning to Self-Manage by Intelligent Monitoring, Prediction and InterventionNirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon, Eyad Elyan, Zina M. Ibrahim, Oya Celikutan, Richard J. B. Dobson, Stephen McKenna, Jacqui Morris, Annalu Waller, Raed A. Abd-Alhammed, Rami Qahwaji, Ray-Chaudhuri. 60-67 [doi]