ijcai 2018 论文列表
Proceedings of the First Joint Workshop on AI in Health organized as part of the Federated AI Meeting (FAIM 2018), co-located with AAMAS 2018, ICML 2018, IJCAI 2018 and ICCBR 2018, Stockholm, Sweden, July 13-14, 2018.
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Preserving safety, privacy and mobility of persons living with Dementia by recognising uncharacteristic out-door movement using Recurrent Neural Networks with low computing capacity.
Towards automated pain detection in children using facial and electrodermal activity.
Dr. AI, where did you get your degree?
Active learning experiments for the classification of smoking tweets.
End to end influence maximization for HIV prevention.
Survey of multiagent systems for improving home health care management.
Smart augmented reality mHealth for medication adherence.
Autonomous adaptation of software agents in the support of human activities.
MeSHx-Notes: web-system for clinical notes information extraction.
Identification of serious illness conversations in unstructured clinical notes using deep neural networks.
Interpretation of best medical coding practices by case-based reasoning - A user assistance prototype for data collection for cancer registries.
Generating reward functions using IRL towards individualized cancer screening.
Detecting and tracking ongoing topics in psychotherapeutic conversations.
Towards lifted maximum expected utility.
Predicting circulatory system deterioration in intensive care unit patients.
Simultaneous measurement imputation and outcome prediction for Achilles tendon rupture rehabilitation.
Visualising convolutional neural network decisions in automated sleep scoring.
Predicting observable and occult injuries in trauma patients from sparse measurements.
Matching networks for personalised human activity recognition.
Predicting ICU mortality by supervised bidirectional LSTM networks.
Deep learning architectures for vector representations of patients and exploring predictors of 30-day hospital readmissions in patients with multiple chronic conditions.
The role of usability engineering in the development of an intelligent decision support system.
Case-base maintenance of a personalized insulin dose recommender system for Type 1 Diabetes Mellitus.
Automated pain detection in facial videos of children using human-assisted transfer learning.
Bicluster phenotyping of healthcare providers, procedures, and prescriptions at scale with deep learning.
ConvNet based QRS multilead delineator in electrocardiogram signals.
