☆ 3.8 Proceedings Paper

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition

MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2022 (2022)

Detecting Alzheimer's Disease Using Natural Language Processing of Referential Communication Task Transcripts

Ziming Liu et al.

Summary: This study used natural language processing and machine learning algorithms to evaluate the effectiveness of referential communication tasks in distinguishing between Alzheimer's disease patients and cognitively healthy older adults. The results demonstrate that this task may serve as a diagnostic tool for Alzheimer's disease and can be simplified for practical use. These findings also highlight the potential of referential communication tasks as a tool for better understanding cognitive deficits in Alzheimer's disease patients from the perspective of discourse production.

JOURNAL OF ALZHEIMERS DISEASE (2022)

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Article Biochemical Research Methods

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Jinhyuk Lee et al.

BIOINFORMATICS (2020)

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Article Computer Science, Theory & Methods

Generalizing from a Few Examples: A Survey on Few-shot Learning

Yaqing Wang et al.

ACM COMPUTING SURVEYS (2020)

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Review Computer Science, Information Systems

A systematic literature review of automatic Alzheimer's disease detection from speech and language

Ulla Petti et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2020)

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Proceedings Paper Computer Science, Interdisciplinary Applications

Few-shot classification in Named Entity Recognition Task

Alexander Fritzler et al.

SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING (2019)

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Article Radiology, Nuclear Medicine & Medical Imaging

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

James H. Thrall et al.

JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2018)

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ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition

相关参考文献

Detecting Alzheimer's Disease Using Natural Language Processing of Referential Communication Task Transcripts

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Generalizing from a Few Examples: A Survey on Few-shot Learning

A systematic literature review of automatic Alzheimer's disease detection from speech and language

Few-shot classification in Named Entity Recognition Task

Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

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