AIMC Topic:
Databases, Factual
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Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.
Artificial intelligence in medicine
Mar 22, 2017
Finding new uses for existing drugs has become a new strategy for decades to treat more patients. Few traditional approaches consider the tissue specificities of diseases. Moreover, disease genes, drug targets and protein interaction (PPI) networks r...
User recommendation in healthcare social media by assessing user similarity in heterogeneous network.
Artificial intelligence in medicine
Mar 18, 2017
OBJECTIVE: The rapid growth of online health social websites has captured a vast amount of healthcare information and made the information easy to access for health consumers. E-patients often use these social websites for informational and emotional...
Artificial intelligence (AI) systems for interpreting complex medical datasets.
Clinical pharmacology and therapeutics
Mar 17, 2017
Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. How...
Beta Hebbian Learning as a New Method for Exploratory Projection Pursuit.
International journal of neural systems
Mar 16, 2017
In this research, a novel family of learning rules called Beta Hebbian Learning (BHL) is thoroughly investigated to extract information from high-dimensional datasets by projecting the data onto low-dimensional (typically two dimensional) subspaces, ...
CATTLE (CAncer treatment treasury with linked evidence): An integrated knowledge base for personalized oncology research and practice.
CPT: pharmacometrics & systems pharmacology
Mar 13, 2017
Despite the existence of various databases cataloging cancer drugs, there is an emerging need to support the development and application of personalized therapies, where an integrated understanding of the clinical factors and drug mechanism of action...
Mobile Stride Length Estimation With Deep Convolutional Neural Networks.
IEEE journal of biomedical and health informatics
Mar 9, 2017
OBJECTIVE: Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of state-of-the...
Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes.
BMC bioinformatics
Mar 1, 2017
BACKGROUND: Investigating and understanding drug-drug interactions (DDIs) is important in improving the effectiveness of clinical care. DDIs can occur when two or more drugs are administered together. Experimentally based DDI detection methods requir...
A doubly robust approach for cost-effectiveness estimation from observational data.
Statistical methods in medical research
Feb 27, 2017
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by the need to account for informative censoring and inherent skewness of the data. In addition, since t...
A study of EMR-based medical knowledge network and its applications.
Computer methods and programs in biomedicine
Feb 23, 2017
BACKGROUND AND OBJECTIVE: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support. We attempt to integrate this medical knowledge into a complex network, and then implement a diagnosis ...
A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and -Nearest Neighbor Graph.
Computational intelligence and neuroscience
Feb 20, 2017
Semisupervised Discriminant Analysis (SDA) is a semisupervised dimensionality reduction algorithm, which can easily resolve the out-of-sample problem. Relative works usually focus on the geometric relationships of data points, which are not obvious, ...
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