AIMC Topic: Decision Support Systems, Clinical

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Utility of Arden Syntax for Representation of Fuzzy Logic in Clinical Quality Measures.

Studies in health technology and informatics
BACKGROUND: Prior work has established that fuzzy logic is prevalent in clinical practice guidelines and that Arden Syntax is suitable for representing clinical quality measures (CQMs). Approved since then, Arden Syntax v2.9 (2012) has formal constru...

Development of an Ontology to Recommend Exercises from Conceptual Maps.

Studies in health technology and informatics
The recommendation of exercise plans requires several variables to be considered (e.g., patient's conditions and preferences) and are normally complex to analyze. To facilitate this analysis we proposed the creation of an ontology to assist professio...

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...

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...

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...

Follow-up Recommendation Detection on Radiology Reports with Incidental Pulmonary Nodules.

Studies in health technology and informatics
The management of follow-up recommendations is fundamental for the appropriate care of patients with incidental pulmonary findings. The lack of communication of these important findings can result in important actionable information being lost in hea...

Identification of Incidental Pulmonary Nodules in Free-text Radiology Reports: An Initial Investigation.

Studies in health technology and informatics
Advances in image quality produced by computed tomography (CT) and the growth in the number of image studies currently performed has made the management of incidental pulmonary nodules (IPNs) a challenging task. This research aims to identify IPNs in...