KDH@ECAI

Keyphrases

Publications

2020

Giacomo Cappon, Lorenzo Meneghetti, Francesco Prendin, Jacopo Pavan, Giovanni Sparacino, Simone Del Favero, Andrea Facchinetti
A Personalized and Interpretable Deep Learning Based Approach to Predict Blood Glucose Concentration in Type 1 Diabetes. KDH@ECAI (2020)
Ning Ma, Yuhang Zhao, Shuang Wen, Tao Yang, Ruikun Wu, Rui Tao, Xia Yu, Hongru Li
Online Blood Glucose Prediction Using Autoregressive Moving Average Model with Residual Compensation Network. KDH@ECAI (2020)
Tao Yang, Ruikun Wu, Rui Tao, Shuang Wen, Ning Ma, Yuhang Zhao, Xia Yu, Hongru Li
Multi-Scale Long Short-Term Memory Network with Multi-Lag Structure for Blood Glucose Prediction. KDH@ECAI (2020)
Michael Mayo, Tomas Koutny
Neural Multi-class Classification Approach to Blood Glucose Level Forecasting with Prediction Uncertainty Visualisation. KDH@ECAI (2020)
Hoda Nemat, Heydar Khadem, Jackie Elliott, Mohammed Benaissa
Data Fusion of Activity and CGM for Predicting Blood Glucose Levels. KDH@ECAI (2020)
Richard McShinsky, Brandon Marshall
Comparison of Forecasting Algorithms for Type 1 Diabetic Glucose Prediction on 30 and 60-Minute Prediction Horizons. KDH@ECAI (2020)
Xiaoyu Sun, Mudassir M. Rashid, Mert Sevil, Nicole Hobbs, Rachel Brandt, Mohammad-Reza Askari, Andrew Shahidehpour, Ali Cinar
Prediction of Blood Glucose Levels for People with Type 1 Diabetes using Latent-Variable-based Model. KDH@ECAI (2020)
Yunjie Lisa Lu, Abigail Koay, Michael Mayo
In Silico Comparison of Continuous Glucose Monitor Failure Mode Strategies for an Artificial Pancreas. KDH@ECAI (2020)
John Daniels, Pau Herrero, Pantelis Georgiou
Personalised Glucose Prediction via Deep Multitask Networks. KDH@ECAI (2020)
Jeremy Beauchamp, Razvan C. Bunescu, Cindy Marling
A General Neural Architecture for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management. KDH@ECAI (2020)
Jonas Freiburghaus, Aïcha Rizzotti-Kaddouri, Fabrizio Albertetti
A Deep Learning Approach for Blood Glucose Prediction and Monitoring of Type 1 Diabetes Patients. KDH@ECAI (2020)
Cindy Marling, Razvan C. Bunescu
The OhioT1DM Dataset for Blood Glucose Level Prediction: Update 2020. KDH@ECAI (2020)
Harry Rubin-Falcone, Ian Fox, Jenna Wiens
Deep Residual Time-Series Forecasting: Application to Blood Glucose Prediction. KDH@ECAI (2020)
Yumin Liu, Claire Zhao, Jonathan Rubin
Uncertainty Quantification in Chest X-Ray Image Classification using Bayesian Deep Neural Networks. KDH@ECAI (2020)
Heydar Khadem, Hoda Nemat, Jackie Elliott, Mohammed Benaissa
Multi-lag Stacking for Blood Glucose Level Prediction. KDH@ECAI (2020)
Taiyu Zhu, Xi Yao, Kezhi Li, Pau Herrero, Pantelis Georgiou
Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks. KDH@ECAI (2020)
Alfonso Emilio Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina
Prognosis Prediction in Covid-19 Patients from Lab Tests and X-ray Data through Randomized Decision Trees. KDH@ECAI (2020)
Ananth Reddy Bhimireddy, Priyanshu Sinha, Bolu Oluwalade, Judy Wawira Gichoya, Saptarshi Purkayastha
Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks. KDH@ECAI (2020)
Jacopo Pavan, Francesco Prendin, Lorenzo Meneghetti, Giacomo Cappon, Giovanni Sparacino, Andrea Facchinetti, Simone Del Favero
Personalized Machine Learning Algorithm based on Shallow Network and Error Imputation Module for an Improved Blood Glucose Prediction. KDH@ECAI (2020)
David Joedicke, Gabriel Kronberger, José Manuel Colmenar, Stephan M. Winkler, José Manuel Velasco, Sergio Contador, José Ignacio Hidalgo
Analysis of the performance of Genetic Programming on the Blood Glucose Level Prediction Challenge 2020. KDH@ECAI (2020)
Hadia Hameed, Samantha Kleinberg
Investigating Potentials and Pitfalls of Knowledge Distillation Across Datasets for Blood Glucose Forecasting. KDH@ECAI (2020)
Mohammad Hesam Hesamian, Wenjing Jia, Sean He, Paul J. Kennedy
Region Proposal Network for Lung Nodule Detection and Segmentation. KDH@ECAI (2020)
Robert Bevan, Frans Coenen
Experiments in Non-Personalized Future Blood Glucose Level Prediction. KDH@ECAI (2020)
Diana Cristea, Christian Sacarea, Diana-Florina Sotropa
Knowledge Discovery and Visualization in Healthcare Datasets using Formal Concept Analysis and Graph Databases. KDH@ECAI (2020)
Meike Nauta, Michel van Putten, Marleen C. Tjepkema-Cloostermans, Jeroen Bos, Maurice van Keulen, Christin Seifert
Interactive Explanations of Internal Representations of Neural Network Layers: An Exploratory Study on Outcome Prediction of Comatose Patients. KDH@ECAI (2020)
Eva Blomqvist, Marjan Alirezaie, Marina Santini
Towards Causal Knowledge Graphs - Position Paper. KDH@ECAI (2020)
Carlos Francisco Moreno-García, Truong Dang, Kyle Martin, Manish Patel, Andrew Thompson, Lesley Leishman, Nirmalie Wiratunga
Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection. KDH@ECAI (2020)

volume 2675, 2020

Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, KDH@ECAI 2020, Santiago de Compostela, Spain & Virtually, August 29-30, 2020. KDH@ECAI 2675 (2020)