AIMC Topic: Machine Learning

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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 ...

Textual Definitions in the Leukemia Domain: Methodological Guidelines for Biomedical Ontologies.

Studies in health technology and informatics
The goal of our study is to establish methodological guidelines for the formulation of definitions in biomedical ontologies thatare not so common in the field of Library & Information Science.

A Novel Approach to Create a Machine Readable Concept Model for Validating SNOMED CT Concept Post-coordination.

Studies in health technology and informatics
Post-coordination provides the means to achieve an appropriate content coverage, which is critical in successfully adopting clinical reference terminologies, and thus represent clinical information consistently. However, one of the major problems of ...

A Comparative Study of Bayes Net, Naive Bayes and Averaged One-Dependence Estimators for Osteoporosis Analysis.

Studies in health technology and informatics
This paper presents an evaluation of the accuracy of the Bayesian classifiers: Bayes Net, Naive Bayes and Averaged One-Dependence Estimator, to support diagnoses of osteopenia and osteoporosis. All classifiers showed good results, thus, given data, i...

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...

Rule-based Cervical Spine Defect Classification Using Medical Narratives.

Studies in health technology and informatics
Classifying the defects occurring at the cervical spine provides the basis for surgical treatment planning and therapy recommendation. This process requires evidence from patient records. Further, the degree of a defect needs to be encoded in a stand...

Extraction of Vital Signs from Clinical Notes.

Studies in health technology and informatics
Assessment of vital signs is an essential part of surveillance of critically ill patients to detect condition changes and clinical deterioration. While most modern electronic medical records allow for vitals to be recorded in a structured format, the...

A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

Studies in health technology and informatics
In clinical NLP, one major barrier to adopting crowdsourcing for NLP annotation is the issue of confidentiality for protected health information (PHI) in clinical narratives. In this paper, we investigated the use of a frequency-based approach to ext...