Papers by Chloé Pou-Prom
Learning multiview embeddings for assessing dementia (D18-1)
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| Challenge: | In 2017, 5.7 million Americans were living with Alzheimer's disease (AD), and the disease accounted for $11.4 billion in healthcare costs in the United States. |
| Approach: | They leverage the multiview nature of a small AD dataset to learn an embedding that captures different modes of cognitive impairment. |
| Outcome: | The proposed embeddings achieve an F1 score of 0.82 and a mean absolute error of 3.42 in the classification task and predicting clinical scores. |