Search Results for author: Hiroko H. Dodge

Found 3 papers, 0 papers with code

Detection of Mild Cognitive Impairment Using Facial Features in Video Conversations

no code implementations29 Aug 2023 Muath Alsuhaibani, Hiroko H. Dodge, Mohammad H. Mahoor

Early detection of Mild Cognitive Impairment (MCI) leads to early interventions to slow the progression from MCI into dementia.

MC-ViViT: Multi-branch Classifier-ViViT to detect Mild Cognitive Impairment in older adults using facial videos

no code implementations11 Apr 2023 Jian Sun, Hiroko H. Dodge, Mohammad H. Mahoor

Deep machine learning models including Convolutional Neural Networks (CNN) have been successful in the detection of Mild Cognitive Impairment (MCI) using medical images, questionnaires, and videos.

Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation

no code implementations18 Feb 2018 Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu, Hiroko H. Dodge, Jiayu Zhou

Even though there is mild cognitive decline in MCI patients, they have normal overall cognition and thus is challenging to distinguish from normal aging.

reinforcement-learning Reinforcement Learning (RL)

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