AIMC Topic:
Data Mining

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Conceptual Knowledge Discovery in Databases for Drug Combinations Predictions in Malignant Melanoma.

Studies in health technology and informatics
The worldwide incidence of melanoma is rising faster than any other cancer, and prognosis for patients with metastatic disease is poor. Current targeted therapies are limited in their durability and/or effect size in certain patient populations due t...

Automated Learning of Temporal Expressions.

Studies in health technology and informatics
Clinical notes contain important temporal information that are critical for making clinical diagnosis and treatment as well as for retrospective analyses. Manually created regular expressions are commonly used for the extraction of temporal informati...

An Approach for Automatic Classification of Radiology Reports in Spanish.

Studies in health technology and informatics
Automatic detection of relevant terms in medical reports is useful for educational purposes and for clinical research. Natural language processing (NLP) techniques can be applied in order to identify them. In this work we present an approach to class...

Identifying Patients with Depression Using Free-text Clinical Documents.

Studies in health technology and informatics
About 1 in 10 adults are reported to exhibit clinical depression and the associated personal, societal, and economic costs are significant. In this study, we applied the MTERMS NLP system and machine learning classification algorithms to identify pat...

Named Entity Recognition in Chinese Clinical Text Using Deep Neural Network.

Studies in health technology and informatics
Rapid growth in electronic health records (EHRs) use has led to an unprecedented expansion of available clinical data in electronic formats. However, much of the important healthcare information is locked in the narrative documents. Therefore Natural...

Automatically Expanding the Synonym Set of SNOMED CT using Wikipedia.

Studies in health technology and informatics
Clinical terminologies and ontologies are often used in natural language processing/understanding tasks as a method for semantically tagging text. One ontology commonly used for this task is SNOMED CT. Natural language is rich and varied: many differ...

Classifying the Indication for Colonoscopy Procedures: A Comparison of NLP Approaches in a Diverse National Healthcare System.

Studies in health technology and informatics
In order to measure the level of utilization of colonoscopy procedures, identifying the primary indication for the procedure is required. Colonoscopies may be utilized not only for screening, but also for diagnostic or therapeutic purposes. To determ...

Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments.

Studies in health technology and informatics
Knowledge of the left ventricular ejection fraction is critical for the optimal care of patients with heart failure. When a document contains multiple ejection fraction assessments, accurate classification of their contextual use is necessary to filt...

Identifying Repetitive Institutional Review Board Stipulations by Natural Language Processing and Network Analysis.

Studies in health technology and informatics
The corrections ("stipulations") to a proposed research study protocol produced by an institutional review board (IRB) can often be repetitive across many studies; however, there is no standard set of stipulations that could be used, for example, by ...

A Baseline Patient Model to Support Testing of Medical Cyber-Physical Systems.

Studies in health technology and informatics
Medical Cyber-Physical Systems (MCPS) are currently a trending topic of research. The main challenges are related to the integration and interoperability of connected medical devices, patient safety, physiologic closed-loop control, and the verificat...