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Results 1 - 10
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68,049
Gene selection for cancer classification using support vector machines
- Machine Learning
"... Abstract. DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active, hyperactive or silent in normal or cancerous tissue. Because these new micro-array devices generate bewildering amounts of raw data, new analytical methods must ..."
Abstract
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Cited by 1115 (24 self)
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Abstract. DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active, hyperactive or silent in normal or cancerous tissue. Because these new micro-array devices generate bewildering amounts of raw data, new analytical methods must
Effective Mapping of Biomedical Text to the UMLS Metathesaurus: The MetaMap Program
, 2001
"... The UMLS® Metathesaurus®, the largest thesaurus in
the biomedical domain, provides a representation of
biomedical knowledge consisting of concepts classified
by semantic type and both hierarchical and nonhierarchical
relationships among the concepts. This
knowledge has proved useful for many applica ..."
Abstract
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Cited by 380 (4 self)
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applications
including decision support systems, management of
patient records, information retrieval (IR) and data
mining. Gaining effective access to the knowledge is
critical to the success of these applications. This
paper describes MetaMap, a program developed at
the National Library of Medicine (NLM
Measuring phase-synchrony in brain signals
- Hum. Brain Mapp
, 1999
"... r r Abstract: This article presents, for the first time, a practical method for the direct quantification of frequency-specific synchronization (i.e., transient phase-locking) between two neuroelectric signals. The motivation for its development is to be able to examine the role of neural synchronie ..."
Abstract
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Cited by 346 (6 self)
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coherence, PLS separates the phase and amplitude components and can be directly interpreted in the framework of neural integration. To validate synchrony values against background fluctuations, PLS uses surrogate data and thus makes no a priori assumptions on the nature of the experimental data. We also
A neuropsychological theory of multiple systems in category learning
- PSYCHOLOGICAL REVIEW
, 1998
"... A neuropsychological theory is proposed that assumes category learning is a competition between separate verbal and implicit (i.e., procedural-learning-based) categorization systems. The theory assumes that the caudate nucleus is an important component of the implicit system and that the anterior ci ..."
Abstract
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Cited by 340 (32 self)
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cingulate and prefrontal cortices are critical to the verbal system. In addition to making predictions for normal human adults, the theory makes specific predictions for children, elderly people, and patients suffering from Parkinson's disease, Huntington's disease, major depression, amnesia
Encryption and the loss of patient data
- Journal of Policy Analysis and Management
, 2011
"... Fast-paced IT advances have made it increasingly possible and useful for firms to collect data on their customers on an unprecedented scale. One downside of this is that firms can experience negative publicity and financial damage if their data are breached. This is particularly the case in the medi ..."
Abstract
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Cited by 4 (2 self)
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in the medical sector, where we find empirical evidence that increased digitization of patient data is associated with more data breaches. The encryption of customer data is often presented as a potential solution, because encryp-tion acts as a disincentive for potential malicious hackers, and can minimize
Pragmatics of measuring recognition memory: Applications to dementia and amnesia.
- Journal of Experimental Psychology: General,
, 1988
"... SUMMARY This article has two purposes. The first is to describe four theoretical models of yesno recognition memory and present their associated measures of discrimination and response bias. These models are then applied to a set of data from normal subjects to determine which pairs of discriminati ..."
Abstract
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Cited by 326 (0 self)
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SUMMARY This article has two purposes. The first is to describe four theoretical models of yesno recognition memory and present their associated measures of discrimination and response bias. These models are then applied to a set of data from normal subjects to determine which pairs
Cooperative Mining of Patient Data
"... In this paper, we use machine leaming schemes lR, FOIL, InductH and C5.0 to generate decision trees and rules from the examples in the medical dataset. Furthermore we have used an approach where neural networks generated by genetic algorithms were also used to classify the data. The aim of our study ..."
Abstract
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: brian@daimi.aau.dk Cooperative Mining of Patient Data Junping Du, Brian H. Mayoh, NielsDamgaard Comp...
from individual patient data
"... Background: Population mean changes are difficult to use in clinical practice. Responder analysis may be better, but needs validating for level of response and treatment duration. A consensus group has defined what constitutes minimal, moderate, and substantial benefit based on pain intensity and Pa ..."
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and Patient Global Impression of Change scores. Methods: We obtained individual patient data from four randomised double blind trials of pregabalin in fibromyalgia lasting eight to 14 weeks. We calculated response for all efficacy outcomes using any improvement ( ≥ 0%), minimal improvement ( ≥ 15%), moderate
Use of Patient Data for QualityControlof
, 1969
"... The average.of.normals quality-control method is examined mathematically. Two modifications are proposed. After modification, the essential un-changed feature of the method is the idea of censoring the laboratory test results so that only means of test values inside the normal range are plotted on t ..."
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in the clinical laboratory. Q UALITY CONTROL charts based on control sam-ples have been used routinely in the clinical laboratory for some time (1, 2). More recently, several writers have advocated methods for moni-toring the routine precision of a laboratory test by using results from patient data (3-6). My
Results 1 - 10
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68,049
