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 - researchr publication

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Kerstin Bach, Razvan C. Bunescu, Oladimeji Farri, Aili Guo, Sadid A. Hasan, Zina M. Ibrahim, Cindy Marling, Jesse Raffa, Jonathan Rubin, Honghan Wu, editors, 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. Volume 2148 of CEUR Workshop Proceedings, CEUR-WS.org, 2018. [doi]

Conference: IJCAI2018

Abstract is missing.

Compositional Data Analysis of Type 1 Diabetes DataLyvia Biagi, Josep Antoni Martin-Fernandex, Josep Vehí. 8-12 [doi]

Analysis of Patient Domestic Activity in Recovery From Hip or Knee RePlacement Surgery: Modelling Wrist-worn Wearable RSSI and Accelerometer Data in The WildMike Holmes, Hao Song, Emma Tonkin, Miquel Perelló-Nieto, Sabrina Grant, Peter A. Flach. 13-20 [doi]

Detecting Behaviour Changes in Accelerometer DataClaudio Diazand, Kalina Yacef. 21-26 [doi]

Cassification of Movement Quality in A Weight-shifting ExerciseElise Klaebo Vonstad, Xiaomeng Su, Beatrix Vereijken, Jan Harald Nilsen, Kerstin Bach. 27-32 [doi]

Monitoring Health In Smart Homes Using Simple SensorsStewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton. 33-37 [doi]

Using Features From Pre-trained TimeNET For Clinical PredictionsPriyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff. 38-44 [doi]

Towards Dataset Creation And Establishing Baselines for Sentence-level Neural Clinical Paraphrase Generation and SimplificationViraj Adduru, Sadid A. Hasan, Joey Liu, Yuan Ling, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri. 45-52 [doi]

Automatic Nursing Care Trainer Based on Machine LearningAnkita Agrawal, Wolfgang Ertel. 53-59 [doi]

The OhioT1DM Dataset For Blood Glucose Level PredictionCindy Marling, Razvan C. Bunescu. 60-63 [doi]

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural NetworksJohn Martinsson, Alexander Schliep, Bjorn Eliasson, Christian Meijner, Simon Persson, Olof Mogren. 64-68 [doi]

A Deep Learning Algorithm for Personalized Blood Glucose PredictionTaiyu Zhu, Kezhi Li, Pau Herrero, Jianwei Chen, Pantelis Georgiou. 64-78 [doi]

Dilated Recurrent Neural Network for Short-time Prediction of Glucose ConcentrationJianwei Chen, Kezhi Li, Pau Herrero, Taiyu Zhu, Pantelis Georgiou. 69-73 [doi]

Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-BoostCooper Midroni, Peter Leimbigler, Gaurav Baruah, Maheedhar Kolla, Alfred Whitehead, Yan Fossat. 79-84 [doi]

Prediction of Blood Glucose Levels And Nocturnal Hypoglycemia Using Physiological Models and Artificial Neural NetworksArthur Bertachi, Lyvia Biagi, Iván Contreras, Ningsu Luo, Josep Vehí. 85-90 [doi]

Using Grammatical Evolution to Generate Short-term Blood Glucose Prediction ModelsIván Contreras, Arthur Bertachi, Lyvia Biagi, Josep Vehí, Silvia Oviedo. 91-96 [doi]

Benchmark Machine Learning Approaches with Classical Time Series Approaches on the Blood Glucose Level Prediction ChallengeJinyu Xie, Qian Wang. 97-102 [doi]

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