AIMC Topic: Pattern Recognition, Automated

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Exploring brand-name drug mentions on Twitter for pharmacovigilance.

Studies in health technology and informatics
Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number...

Automatic extraction of numerical values from unstructured data in EHRs.

Studies in health technology and informatics
Clinical data recorded in modern EHRs are very rich, although their secondary use research and medical decision may be complicated (eg, missing and incorrect data, data spread over several clinical databases, information available only within unstruc...

A connecting system for cardiological lexicons.

Studies in health technology and informatics
The purpose of this paper is to present the approach and the development of a software application ("lexicons connecting" system) to correlate effectively and unambiguously the correspondence between the specialist medical vocabulary and the familiar...

Incidence Rate of Canonical vs. Derived Medical Terminology in Natural Language.

Studies in health technology and informatics
Medical terminology appears in the natural language in multiple forms: canonical, derived or inflected form. This research presents an analysis of the form in which medical terminology appears in Romanian and English language. The sources of medical ...

Artificial neural networks for dihedral angles prediction in enzyme loops: a novel approach.

International journal of bioinformatics research and applications
Structure prediction of proteins is considered a limiting step and determining factor in drug development and in the introduction of new therapies. Since the 3D structures of proteins determine their functionalities, prediction of dihedral angles rem...

Compensating for the effects of site and equipment variation on delphinid species identification from their echolocation clicks.

The Journal of the Acoustical Society of America
A concern for applications of machine learning techniques to bioacoustics is whether or not classifiers learn the categories for which they were trained. Unfortunately, information such as characteristics of specific recording equipment or noise envi...

Multiple hypotheses image segmentation and classification with application to dietary assessment.

IEEE journal of biomedical and health informatics
We propose a method for dietary assessment to automatically identify and locate food in a variety of images captured during controlled and natural eating events. Two concepts are combined to achieve this: a set of segmented objects can be partitioned...

Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Segmentation of brain tumor from Magnetic Resonance Imaging (MRI) becomes very complicated due to the structural complexities of human brain and the presence of intensity inhomogeneities.

Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.

Journal of Alzheimer's disease : JAD
BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a role in the investigation of healthy aging and Alzheimer's disease (AD). The definition of normative rules for brain features is a crucial step to establ...