AIMC Topic: Machine Learning

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Extracting Dependence Relations from Unstructured Medical Text.

Studies in health technology and informatics
Dependence relations among disease and risk factors are a key ingredient in risk modeling and decision support models. Currently such information is either provided by experts (costly and time consuming) or extracted from data (if available). The pub...

Development and evaluation of task-specific NLP framework in China.

Studies in health technology and informatics
Natural language processing (NLP) has been designed to convert narrative text into structured data. Although some general NLP architectures have been developed, a task-specific NLP framework to facilitate the effective use of data is still a challeng...

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...

Ontology-Driven Semantic Search for Brazilian Portuguese Clinical Notes.

Studies in health technology and informatics
The emerging penetration of Health IT in Latin America (especially in Brazil) has exacerbated the ever-increasing amount of Electronic Health Record (EHR) clinical free text documents.This imposes a workflow efficiency challenge on clinicians who nee...

Proposal of Local Automatic Weighing Attribute in CBIR.

Studies in health technology and informatics
Lung cancer is the most common malignant lesion and the principal cause of cancer-related death worldwide. This problem encourages researchers to build computer-aided solutions to help diagnose lung cancer. Content-based image retrieval (CBIR) system...

A Development of Automatic Audit System for Written Informed Consent using Machine Learning.

Studies in health technology and informatics
In Japan, most of all the university and advanced hospitals have implemented both electronic order entry systems and electronic charting. In addition, all medical records are subjected to inspector audit for quality assurance. The record of informed ...

Identifying Clinical Study Types from PubMed Metadata: The Active (Machine) Learning Approach.

Studies in health technology and informatics
We examined a process for automating the classification of articles in MEDLINE aimed at minimising manual effort without sacrificing accuracy. From 22,808 articles pertaining to 19 antidepressants, 1000 were randomly selected and manually labelled ac...

Harmonizing Nursing Terminologies.

Studies in health technology and informatics
In this paper, the authors report on a study aimed at harmonising two nursing terminologies, the Clinical Care Classification (CCC) and the International Classification for Nursing Practice (ICNP®). As the electronic health record evolves and the nee...