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Found 6 papers, 1 papers with code
Unsupervised Abbreviation Detection in Clinical Narratives
The disambiguation of period characters is therefore an important task for sentence and abbreviation detection.
Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification
Shallow machine learning strategies showed lower overall micro F1 scores, but still higher than deep learning strategies and the baseline.
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary
With large parts of clinical documents in free text, NLP is playing a more and more important role in unlocking re-usable and interoperable meaning from medical records.
Secondary Use of Clinical Problem List Entries for Neural Network-Based Disease Code Assignment
Clinical information systems have become large repositories for semi-structured and partly annotated electronic health record data, which have reached a critical mass that makes them interesting for supervised data-driven neural network approaches.
Federated unsupervised random forest for privacy-preserving patient stratification
In the realm of precision medicine, effective patient stratification and disease subtyping demand innovative methodologies tailored for multi-omics data.
