adr-prediction statistics

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Associated diseases

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adr-prediction specifications

Information


Unique identifier OMICS_20398
Name adr-prediction
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Medium
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Emir Munoz <>
  • person_outline Emir Munoz <>

Publication for adr-prediction

adr-prediction in publications

 (9)
PMCID: 5703951
PMID: 29180758
DOI: 10.1038/s41598-017-16674-x

[…] correct prediction of edges in category 2 does not directly contribute to patient care, but as these databases are widely used for research purposes it is valuable to detect missing information., adr prediction has been the subject of numerous previous publications, which have been reviewed thoroughly,. existing approaches can be subdivided into two key objectives. firstly, to predict adrs […]

PMCID: 5635478
PMID: 29090077
DOI: 10.1155/2017/7575280

[…] postmarketing surveillance with a large amount of population is necessary for remaining adr monitoring. to this end, there are two multidisciplinary tasks of adr surveillance: adr identification and adr prediction. the former task targets on retrieval of unrecognized adr that may exist in data but not explicitly described as knowledge, while the latter one aims to construct a model […]

PMCID: 5429831
PMID: 28408735
DOI: 10.1038/s41598-017-00908-z

[…] properties with their target profiles. zhang et al. used ensemble methods and devised feature selection based multi-label k-nearest neighbour method (fs-mlknn) using which essential features for adr prediction can be predicted. huang et al. integrated drug information (drug target data and clinical observation data) with network information (protein-protein interaction networks and gene […]

PMCID: 5087856
PMID: 27798708
DOI: 10.1371/journal.pone.0165757

[…] strongest predictor of an adr followed by presence of dementia, renal failure, drug changes in the preceding 3 months and use of anticholinergic medications; these variables were used to derive the adr prediction score. the predictive ability of the score, assessed from calculation of the area under the receiver operator characteristic (roc) curve, was 0.70 (95% confidence interval (ci) […]

PMCID: 4859526
PMID: 27194906
DOI: 10.2147/CIA.S99097

[…] multiple risk factors for adrs, ideally, the gps should be able to predict those older adults who have a severe risk of adrs that may lead to emergency hospital admissions. the development of an adr prediction tool in community settings would facilitate this. the design of such a tool would require identification of a comprehensive list of possible predictive factors contributing […]


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adr-prediction institution(s)
Fujitsu Ireland Ltd., Insight Building, IDA Business Park, Lower Dangan, Newcastle, Galway, Ireland
adr-prediction funding source(s)
Supported by the TOMOE project funded by Fujitsu Laboratories Ltd., Japan and Insight Centre for Data Analytics at National University of Ireland Galway (supported by the Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/ 2289).

adr-prediction review

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Daniel Renz

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The linked repository contains only description of the data, but no code/program