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Found 8 papers, 3 papers with code
Assertion Detection in Clinical Notes: Medical Language Models to the Rescue?
In order to provide high-quality care, health professionals must efficiently identify the presence, possibility, or absence of symptoms, treatments and other relevant entities in free-text clinical notes.
An Annotated Corpus of Textual Explanations for Clinical Decision Support
In recent years, machine learning for clinical decision support has gained more and more attention.
Explainable Artificial Intelligence (XAI)
Feature Importance
A Medical Information Extraction Workbench to Process German Clinical Text
However, in the context of clinical text processing the number of accessible datasets is scarce -- and so is the number of existing tools.
When Performance is not Enough -- A Multidisciplinary View on Clinical Decision Support
Scientific publications about machine learning in healthcare are often about implementing novel methods and boosting the performance - at least from a computer science perspective.
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Outcome prediction from clinical text can prevent doctors from overlooking possible risks and help hospitals to plan capacities.
Ranked #1 on
Length-of-Stay prediction
on Clinical Admission Notes from MIMIC-III
(using extra training data)
A fine-grained corpus annotation schema of German nephrology records
In this work we present a fine-grained annotation schema to detect named entities in German clinical data of chronically ill patients with kidney diseases.
Negation Detection in Clinical Reports Written in German
This work presents a system for detecting mentions of clinical findings that are negated or just speculated.
Towards a New Science of a Clinical Data Intelligence
We argue that a science of a Clinical Data Intelligence is sensible in the context of a Big Data analysis, i. e., with data from many patients and with complete patient information.
