Clinical chemistry in higher dimensions: Machine-learning and enhanced prediction from routine clinical chemistry data

Clicks: 360
ID: 114669
2016
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Abstract
Big Data is having an impact on many areas of research, not the least of which is biomedical science. In this review paper, big data and machine learning are defined in terms accessible to the clinical chemistry community. Seven myths associated with machine learning and big data are then presented, …
Reference Key
a2016clinicalclinical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Richardson A;Signor BM;Lidbury BA;Badrick T;;
Journal Clinical biochemistry
Year 2016
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/27452181
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE review pubmed abstract nih national institutes of health national library of medicine statistical machine learning* data interpretation pmid:27452181 doi:10.1016/j.clinbiochem.2016.07.013 alice richardson ben m signor tony badrick clinical chemistry tests*

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