Machine learning applied to chemical analysis: Sensing multiple biomarkers in simulated breath using a temperature-pulsed electronic-nose

Analytical Chemistry

Volumn 84, Issue 22, 2012, Pages 9774-9781

  Rogers, Phillip H ^a   Benkstein, Kurt D ^a   Semancik, Steve ^a  

^a NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL SPECIES; DATA COLLECTION; DIMENSIONAL REDUCTION; EXHALED BREATHS; FILM RESISTANCE; FUNCTIONALIZED; LINEAR DISCRIMINANT ANALYSIS; METAL OXIDE FILM; METAL-OXIDE; MICRO HOTPLATE; QUANTIFYING THE MODELS; RAPID TEMPERATURE; SENSING DATA; SENSING FILMS; TEMPERATURE DEPENDENT; THERMAL CYCLE;

ACETONE; CHEMICAL DETECTION; DIAGNOSIS; LEARNING SYSTEMS; METHANOL; MICROSENSORS; OXIDE FILMS;

LEARNING ALGORITHMS;

BIOLOGICAL MARKER; METAL; OXIDE;

ARTICLE; ARTIFICIAL INTELLIGENCE; BREATH ANALYSIS; CHEMISTRY; DISCRIMINANT ANALYSIS; ELECTRONIC NOSE; METHODOLOGY; MICROTECHNOLOGY; TEMPERATURE;

ARTIFICIAL INTELLIGENCE; BIOLOGICAL MARKERS; BREATH TESTS; DISCRIMINANT ANALYSIS; ELECTRONIC NOSE; METALS; MICROTECHNOLOGY; OXIDES; TEMPERATURE;

EID: 84869383110     PISSN: 00032700     EISSN: 15206882     Source Type: Journal    
DOI: 10.1021/ac301687j     Document Type: Article

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