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ORCIDKDH@IJCAI 2018: Stockholm, Schweden
- Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu:
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. CEUR Workshop Proceedings 2148, CEUR-WS.org 2018 - Lyvia Biagi, Josep Antoni Martin-Fernandex, Josep Vehí:
Compositional Data Analysis of Type 1 Diabetes Data. 8-12 - Mike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach:
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 - Claudio Díaz, Kalina Yacef:
Detecting Behaviour Changes in Accelerometer Data. 21-26 - Elise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Jan Harald Nilsen, Kerstin Bach:
Cassification of Movement Quality in A Weight-shifting Exercise. 27-32 - Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton:
Monitoring Health In Smart Homes Using Simple Sensors. 33-37 - Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff:
Using Features From Pre-trained TimeNET For Clinical Predictions. 38-44 - Viraj Adduru, Sadid A. Hasan, Joey Liu, Yuan Ling, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and Simplification. 45-52 - Ankita Agrawal, Wolfgang Ertel:
Automatic Nursing Care Trainer Based on Machine Learning. 53-59 - Cindy Marling, Razvan C. Bunescu:
The OhioT1DM Dataset For Blood Glucose Level Prediction. 60-63 - John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren:
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. 64-68 - Jianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou:
Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration. 69-73 - Taiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou:
A Deep Learning Algorithm for Personalized Blood Glucose Prediction. 64-78 - Cooper Midroni, Peter J. Leimbigler, Gaurav Baruah, Maheedhar Kolla, Alfred J. Whitehead, Yan Fossat:
Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost. 79-84 - Arthur Bertachi, Lyvia Biagi, Iván Contreras, Ningsu Luo, Josep Vehí:
Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural Networks. 85-90 - Iván Contreras, Arthur Bertachi, Lyvia Biagi, Josep Vehí, Silvia Oviedo:
Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction Models. 91-96 - Jinyu Xie, Qian Wang:
Benchmark Machine Learning Approaches with Classical Time Series Approaches on the Blood Glucose Level Prediction Challenge. 97-102
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