AIMC Topic: Disease
Clear Filters Showing 141 to 147 of 147 articles
Opportunities and obstacles for deep learning in biology and medicine.
Journal of the Royal Society, Interface
Apr 1, 2018
Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine ar...
Machine Learning Methods in Precision Medicine Targeting Epigenetic Diseases.
Current pharmaceutical design
Jan 1, 2018
BACKGROUND: On a tide of big data, machine learning is coming to its day. Referring to huge amounts of epigenetic data coming from biological experiments and clinic, machine learning can help in detecting epigenetic features in genome, finding correl...
Identifying Chemical-Disease Relationship in Biomedical Text Using a Multiple Kernel Learning-Boosting Method.
Studies in health technology and informatics
Jan 1, 2017
Chemical-induced disease relations (CID) are crucial in various biomedical tasks. In the CID task of Biocreative V, no classifiers with multiple kernels have been developed. In this study, a multiple kernel learning-boosting (MKLB) method is proposed...
Chemical-induced disease relation extraction via convolutional neural network.
Database : the journal of biological databases and curation
Jan 1, 2017
UNLABELLED: This article describes our work on the BioCreative-V chemical-disease relation (CDR) extraction task, which employed a maximum entropy (ME) model and a convolutional neural network model for relation extraction at inter- and intra-sentenc...
A New Semantic Functional Similarity over Gene Ontology.
IEEE/ACM transactions on computational biology and bioinformatics
Jan 1, 2015
Identifying functionally similar or closely related genes and gene products has significant impacts on biological and clinical studies as well as drug discovery. In this paper, we propose an effective and practically useful method measuring both gene...
AIDS causes sharp rise in number of Brazilian orphans.
AIDS weekly plus
Oct 28, 1996
An estimated 183,000 Brazilian children are at risk of losing their mothers to AIDS, according to a survey released. The survey, sponsored by UNICEF, was conducted by the John Snow Institute. Survey estimates are that 10,600 Brazilian children younge...
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