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Found 7 papers, 2 papers with code
Tensor Decomposition of Large-scale Clinical EEGs Reveals Interpretable Patterns of Brain Physiology
The current clinical EEG review process relies heavily on expert visual review, which is unscalable and error-prone.
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts
The recent availability of large datasets in bio-medicine has inspired the development of representation learning methods for multiple healthcare applications.
SCORE-IT: A Machine Learning-based Tool for Automatic Standardization of EEG Reports
Machine learning (ML)-based analysis of electroencephalograms (EEGs) is playing an important role in advancing neurological care.
Multi-Perspective Semantic Information Retrieval
Information Retrieval (IR) is the task of obtaining pieces of data (such as documents or snippets of text) that are relevant to a particular query or need from a large repository of information.
Multi-Perspective Semantic Information Retrieval in the Biomedical Domain
Information Retrieval (IR) is the task of obtaining pieces of data (such as documents) that are relevant to a particular query or need from a large repository of information.
Identification of Adverse Drug Reaction Mentions in Tweets -- SMM4H Shared Task 2019
Analyzing social media posts can offer insights into a wide range of topics that are commonly discussed online, providing valuable information for studying various health-related phenomena reported online.
Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes
To help automate the process, National NLP Clinical Challenges (N2C2) conducted a shared challenge by defining 13 criteria for clinical trial cohort selection and by providing training and test datasets.
