AIMC Topic:
Data Mining

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Development of an Adolescent Depression Ontology for Analyzing Social Data.

Studies in health technology and informatics
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social medi...

Constructing a Graph Database for Semantic Literature-Based Discovery.

Studies in health technology and informatics
Literature-based discovery (LBD) generates discoveries, or hypotheses, by combining what is already known in the literature. Potential discoveries have the form of relations between biomedical concepts; for example, a drug may be determined to treat ...

A Statistical Analysis of Term Occurrences in Radiology Reporting.

Studies in health technology and informatics
To compare term occurrences in free-text radiology reports and RSNA reporting templates, we selected five templates from an RSNA reporting template library and their corresponding free-text reports as a test set, and employed the Wilcoxon signed-rank...

Cohort Discovery Query Optimization via Computable Controlled Vocabulary Versioning.

Studies in health technology and informatics
Self-service cohort discovery tools strive to provide intuitive interfaces to large Clinical Data Warehouses that contain extensive historic information. In those tools, controlled vocabulary (e.g., ICD-9-CM, CPT) coded clinical information is often ...

Interpreting Medical Information Using Machine Learning and Individual Conditional Expectation.

Studies in health technology and informatics
Recently, machine-learning techniques have spread many fields. However, machine-learning is still not popular in medical research field due to difficulty of interpreting. In this paper, we introduce a method of interpreting medical information using ...

Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches.

Studies in health technology and informatics
Automated detection methods can address delays and incompleteness in cancer case reporting. Existing automated efforts are largely dependent on complex dictionaries and coded data. Using a gold standard of manually reviewed pathology reports, we eval...

Annotation methods to develop and evaluate an expert system based on natural language processing in electronic medical records.

Studies in health technology and informatics
The objective of the SYNODOS collaborative project was to develop a generic IT solution, combining a medical terminology server, a semantic analyser and a knowledge base. The goal of the project was to generate meaningful epidemiological data for var...

Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing.

Studies in health technology and informatics
There remain significant difficulties selecting probable candidate drugs from existing databases. We describe an ontology-oriented approach to represent the nexus between genes, drugs, phenotypes, symptoms, and diseases from multiple information sour...

Automated Classification of Pathology Reports.

Studies in health technology and informatics
This work develops an automated classifier of pathology reports which infers the topography and the morphology classes of a tumor using codes from the International Classification of Diseases for Oncology (ICD-O). Data from 94,980 patients of the A.C...

Translating ICD-11 into French using lexical-based approach: a preliminary study.

Studies in health technology and informatics
To translate the 11th edition of the International Classification of Diseases (ICD-11) into French, we proposed a lexical approach using Natural Language Processing techniques. This method relies on the 56 biomedical terminologies and ontologies incl...