AIMC Topic: Machine Learning

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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...

Generation of Natural-Language Textual Summaries from Longitudinal Clinical Records.

Studies in health technology and informatics
Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true for chronic-disease domains, but holds also in other clinical domains. We have recently developed a p...

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 ...

Assessing the Need of Discourse-Level Analysis in Identifying Evidence of Drug-Disease Relations in Scientific Literature.

Studies in health technology and informatics
Relation extraction typically involves the extraction of relations between two or more entities occurring within a single or multiple sentences. In this study, we investigated the significance of extracting information from multiple sentences specifi...

Improving Hospital-Wide Early Resource Allocation through Machine Learning.

Studies in health technology and informatics
The objective of this paper is to evaluate the extent to which early determination of diagnosis-related groups (DRGs) can be used for better allocation of scarce hospital resources. When elective patients seek admission, the true DRG, currently deter...

A Decision Fusion Framework for Treatment Recommendation Systems.

Studies in health technology and informatics
Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trai...

Using EHRs and Machine Learning for Heart Failure Survival Analysis.

Studies in health technology and informatics
"Heart failure (HF) is a frequent health problem with high morbidity and mortality, increasing prevalence and escalating healthcare costs" [1]. By calculating a HF survival risk score based on patient-specific characteristics from Electronic Health R...