A review of the applications of data mining and machine learning for the prediction of biomedical properties of nanoparticles

Highlights • Nanomedicine, which focuses on the use of nanoparticles and nanotechnology in the bio-medical domain, is increasingly becoming a very active field of research. • Informatics support for nanomedicine is less developed and there is a substantial lack of authoritative sources of informatio...

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Bibliographic Details
Published inComputer methods and programs in biomedicine Vol. 132; pp. 93 - 103
Main Authors Jones, David E, Ghandehari, Hamidreza, Facelli, Julio C
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.08.2016
Subjects
Animals
Biological properties
Biomedical materials
Cell Line
Data Mining
Design engineering
Heterogeneity
Humans
Internal Medicine
Machine Learning
Nanoinformatics
Nanomedicine
Nanoparticles
Other
Uptakes
Data Mining
Nanoinformatics
Nanomedicine
Machine Learning
Data mining
Machine learning
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Summary:Highlights • Nanomedicine, which focuses on the use of nanoparticles and nanotechnology in the bio-medical domain, is increasingly becoming a very active field of research. • Informatics support for nanomedicine is less developed and there is a substantial lack of authoritative sources of information accessible to non–informatics specialists. • This review are to: (1) review research involving the use of data mining and machine learning in the field of nanomedicine and (2) examine the progress and challenges that this relatively new field of nanoinformatics faces to become a major contributor toward the development of effective nanomedicines.
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ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2016.04.025