AIMC Topic: Data Mining

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RLIMS-P 2.0: A Generalizable Rule-Based Information Extraction System for Literature Mining of Protein Phosphorylation Information.

IEEE/ACM transactions on computational biology and bioinformatics
We introduce RLIMS-P version 2.0, an enhanced rule-based information extraction (IE) system for mining kinase, substrate, and phosphorylation site information from scientific literature. Consisting of natural language processing and IE modules, the s...

Named entity recognition and classification in biomedical text using classifier ensemble.

International journal of data mining and bioinformatics
Named Entity Recognition and Classification (NERC) is an important task in information extraction for biomedicine domain. Biomedical Named Entities include mentions of proteins, genes, DNA, RNA, etc. which, in general, have complex structures and are...

Enhancing Patient Safety Event Reporting by K-nearest Neighbor Classifier.

Studies in health technology and informatics
Data quality was placed as a major reason for the low utility of patient safety event reporting systems. A pressing need in improving data quality has advanced recent research focus in data entry associated with human factors. The debate on structure...

Facilitating Full-text Access to Biomedical Literature Using Open Access Resources.

Studies in health technology and informatics
Open access (OA) resources and local libraries often have their own literature databases, especially in the field of biomedicine. We have developed a method of linking a local library to a biomedical OA resource facilitating researchers' full-text ar...

Oncotherapy: A System for Requesting Chemotherapy Protocols.

Studies in health technology and informatics
A clinical decision support system is able to provide oncologists with suitable treatment options at the moment of decision making regarding which chemotherapy protocol is the best to apply to a particular oncological case. The National Cancer Instit...

OntoMama: An Ontology Applied to Breast Cancer.

Studies in health technology and informatics
This article describes the process of building an ontology to assist medical students and professionals specialized in Oncology. The ontology allows the user to obtain knowledge more quickly and thus assist professionals in their decision-making.

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 ...