Efficient approach for simultaneous estimation of multiple health-promoting effects of foods

Journal of Agricultural and Food Chemistry

Volumn 59, Issue 16, 2011, Pages 8575-8588

  Nagahama, Kiyoko ^a   Eto, Nozomu ^a,b   Yamamori, Kunihito ^b   Nishiyama, Kazuo ^b   Sakakibara, Yoichi ^a,b   Iwata, Takako ^a,b   Uchida, Asuka ^a,b   Yoshihara, Ikuo ^b   Suiko, Masahito ^a,b  

^a Miyazaki Prefectural Industrial Support Foundation   (Japan)

^b UNIVERSITY OF MIYAZAKI   (Japan)

Author keywords

artificial neural network; food constituents; health promoting effects; linear regression; marker protein

Indexed keywords

ADEQUATE MODELS; ANTIVIRAL ACTIVITIES; ARTIFICIAL NEURAL NETWORK; CANCER CELL GROWTH; DESCRIPTORS; DISEASE PREVENTION; EXPRESSION DATA; FOOD CONSTITUENTS; FOOD SCIENCE; HEALTH PROMOTION; HEALTH-PROMOTING EFFECTS; INFORMATICS; INPUT DATAS; MARKER PROTEINS; MULTIPLE REGRESSIONS; OUTPUT VALUES; PREDICTION PERFORMANCE; SIMULTANEOUS ESTIMATION; STATISTICALLY SIGNIFICANT DIFFERENCE;

ESTIMATION; GROWTH KINETICS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROTEINS;

HEALTH;

ANTINEOPLASTIC AGENT; ANTIOXIDANT; ANTIVIRUS AGENT; BIOLOGICAL MARKER; VEGETABLE PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; FOOD; FOOD ANALYSIS; HEALTH PROMOTION; HUMAN; METHODOLOGY; PROTEIN INTAKE; REGRESSION ANALYSIS; THEORETICAL MODEL; TUMOR CELL LINE;

ANTICARCINOGENIC AGENTS; ANTIOXIDANTS; ANTIVIRAL AGENTS; BIOLOGICAL MARKERS; CELL LINE, TUMOR; DIETARY PROTEINS; FOOD; FOOD ANALYSIS; HEALTH PROMOTION; HUMANS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PLANT PROTEINS; REGRESSION ANALYSIS;

EID: 80051737936     PISSN: 00218561     EISSN: 15205118     Source Type: Journal    
DOI: 10.1021/jf201836g     Document Type: Article

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