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Unsupervised learning technique identifies bronchiectasis phenotypes with distinct clinical characteristics.
The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
Mar 1, 2016
BACKGROUND: Unsupervised learning technique allows researchers to identify different phenotypes of diseases with complex manifestations.
Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.
Journal of digital imaging
Feb 1, 2016
Radiology report narrative contains a large amount of information about the patient's health and the radiologist's interpretation of medical findings. Most of this critical information is entered in free text format, even when structured radiology re...
Ontology-Based Prediction and Prioritization of Gene Functional Annotations.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2016
Genes and their protein products are essential molecular units of a living organism. The knowledge of their functions is key for the understanding of physiological and pathological biological processes, as well as in the development of new drugs and ...
Colorectal Cancer Staging Using Three Clustering Methods Based on Preoperative Clinical Findings.
Asian Pacific journal of cancer prevention : APJCP
Jan 1, 2016
Determination of the colorectal cancer stage is possible only after surgery based on pathology results. However, sometimes this may prove impossible. The aim of the present study was to determine colorectal cancer stage using three clustering methods...
INSIGHTS FROM MACHINE-LEARNED DIET SUCCESS PREDICTION.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2016
To support people trying to lose weight and stay healthy, more and more fitness apps have sprung up including the ability to track both calories intake and expenditure. Users of such apps are part of a wider "quantified self" movement and many opt-in...
Using Semantic Similarities and csbl.go for Analyzing Microarray Data.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2016
Cellular phenotypes result from the combined effect of multiple genes, and high-throughput techniques such as DNA microarrays and deep sequencing allow monitoring this genomic complexity. The large scale of the resulting data, however, creates challe...
Classification of collective behavior: a comparison of tracking and machine learning methods to study the effect of ambient light on fish shoaling.
Behavior research methods
Dec 1, 2015
Traditional approaches for the analysis of collective behavior entail digitizing the position of each individual, followed by evaluation of pertinent group observables, such as cohesion and polarization. Machine learning may enable considerable advan...
Feature selection using feature dissimilarity measure and density-based clustering: application to biological data.
Journal of biosciences
Oct 1, 2015
Reduction of dimensionality has emerged as a routine process in modelling complex biological systems. A large number of feature selection techniques have been reported in the literature to improve model performance in terms of accuracy and speed. In ...
[Study on UPLC Fingerprint of Corydalis bungeana].
Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials
Aug 1, 2015
OBJECTIVE: To establish an Ultra Performance Liquid Chromatography fingerprint of Corydalis bungeana from different habitats.
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