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Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?

, , , , , , , , , and . J. Heal. Informatics Res., 7 (1): 42-58 (March 2023)

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ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI., , , , , , , , , and 3 other author(s). CoRR, (2022)Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs., , , , , , , , , and 11 other author(s). Neuroinformatics, 19 (4): 597-618 (2021)Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity., , , , , , , , , and 25 other author(s). Int. J. Biomed. Imaging, (2022)Nonnegative matrix factorization and sparse representation for the automated detection of periodic limb movements in sleep., , , , , , , and . Medical Biol. Eng. Comput., 54 (11): 1641-1654 (2016)ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRI., , , , , , , , , and 3 other author(s). NeuroImage, (September 2023)Can Patients with Dementia Be Identified in Primary Care Electronic Medical Records Using Natural Language Processing?, , , , , , , , , and . J. Heal. Informatics Res., 7 (1): 42-58 (March 2023)