ARIAL@ICDM22 will be held in Orlando, FL, USA. In this workshop, we invite previously unpublished and novel submissions in the following areas (pertaining to aging and rehabilitation), but not limited to:
Methods, protocols and challenges for multimodal data collection, data annotation, and data labeling with older adult populations.
Development and deployment of long-term sensor-based monitoring systems.
Methodologies for big data, large-scale data mining, including cloud and edge computing.
Data cleaning, curation, sharing and harmonization.
Data analytics and visualization techniques for healthcare data of older adults.
Data mining challenges such as handling missing data, dealing with mixed, imbalanced, poorly labeled and noisy data.
Techniques for tele-rehabilitation/virtual rehabilitation, telemedicine and remote monitoring.
Audio/video, multimodal interaction for patient engagement, exercise monitoring and successful delivery of rehabilitation.
Addressing privacy concerns of patient data, e.g., privacy-protecting sensing modalities, federated learning and differential privacy.
Machine learning and Deep Learning algorithms to identify harmful, life-threatening, abnormal behaviors in older care settings.
AI approaches for continuous streaming, monitoring and analysis of health, activity, contextual, and online data for older adults.
Techniques for handling data biases, and other biases related to sex, gender, ethnicity and age (e.g., fair machine learning strategies).
Data mining methods for measuring health indicators, progression of physical and cognitive health, e.g., frailty, dementia, social isolation, mobility, mental health, gait stability.
AI approaches for data fusion from multi-modal sensor interaction and ensemble algorithm development (e.g., multi-view learning approaches).