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A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text.

Journal of healthcare engineering
Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English. However, much less work has been done on nonstructural texts that...

Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets.

PloS one
Falls are a major cause of injuries and deaths in older adults. Even when no injury occurs, about half of all older adults who fall are unable to get up without assistance. The extended period of lying on the floor often leads to medical complication...
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Using a social robot to teach gestural recognition and production in children with autism spectrum disorders.

Disability and rehabilitation. Assistive technology
While it has been argued that children with autism spectrum disorders are responsive to robot-like toys, very little research has examined the impact of robot-based intervention on gesture use. These children have delayed gestural development. We use...

Usability testing of a developed assistive robotic system with virtual assistance for individuals with cerebral palsy: a case study.

Disability and rehabilitation. Assistive technology
This paper presents a novel application of an assistive robotic system with virtual assistance to enhance manual performance of individuals with cerebral palsy. Cerebral palsy affects one's voluntary motor movements resulting in limited opportunities...

Prediction of cause of death from forensic autopsy reports using text classification techniques: A comparative study.

Journal of forensic and legal medicine
OBJECTIVES: Automatic text classification techniques are useful for classifying plaintext medical documents. This study aims to automatically predict the cause of death from free text forensic autopsy reports by comparing various schemes for feature ...

Learning from Ambiguously Labeled Face Images.

IEEE transactions on pattern analysis and machine intelligence
Learning a classifier from ambiguously labeled face images is challenging since training images are not always explicitly-labeled. For instance, face images of two persons in a news photo are not explicitly labeled by their names in the caption. We p...

Automated Classification and Removal of EEG Artifacts With SVM and Wavelet-ICA.

IEEE journal of biomedical and health informatics
Brain electrical activity recordings by electroencephalography (EEG) are often contaminated with signal artifacts. Procedures for automated removal of EEG artifacts are frequently sought for clinical diagnostics and brain-computer interface applicati...

A statistical framework for biomedical literature mining.

Statistics in medicine
In systems biology, it is of great interest to identify new genes that were not previously reported to be associated with biological pathways related to various functions and diseases. Identification of these new pathway-modulating genes does not onl...

Leveraging syntax to better capture the semantics of elliptical coordinated compound noun phrases.

Journal of biomedical informatics
Full-text scientific articles are increasingly available, but capturing the meaning conveyed within an article automatically remains a bottleneck for semantic search and reasoning systems. In this paper we consider elliptical coordinated compound nou...

Prescription extraction using CRFs and word embeddings.

Journal of biomedical informatics
In medical practices, doctors detail patients' care plan via discharge summaries written in the form of unstructured free texts, which among the others contain medication names and prescription information. Extracting prescriptions from discharge sum...