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Combining elemental analysis of toenails and machine learning techniques as a non-invasive diagnostic tool for the robust classification of type-2 diabetes

Article ID Journal Published Year Pages File Type
6854651 Expert Systems with Applications 2019 48 Pages PDF
Keywords
MIP OESTrace elemental analysisDiabetes diagnosisICP-MSChemometricsMachine learning
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Preview
Combining elemental analysis of toenails and machine learning techniques as a non-invasive diagnostic tool for the robust classification of type-2 diabetes
Authors
Jake A. Carter, Christina S. Long, Beth P. Smith, Thomas L. Smith, George L. Donati,
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Journal
Expert Systems with Applications
Journal: Expert Systems with Applications
Related Categories
MIP OES
Trace elemental analysis
Diabetes diagnosis
ICP-MS
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Computer Science Applications
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