The automated malnutrition assessment
- Author
- DAVID, Gil1 ; BERNSTEIN, Larry Howard2 ; COIFMAN, Ronald R3
[1] Program in Applied Mathematics, Department of Mathematics, Yale University, New Haven, Connecticut, United States
[2] New York Methodist Hospital Cornell-Weill, New York, New York, United States
[3] Department of Mathematics, Yale University, New Haven, Connecticut, United States - Source
Nutrition (Burbank, Los Angeles County, Calif.). 2013, Vol 29, Num 1, pp 113-121, 9 p ; ref : 39 ref
- CODEN
- NUTRER
- ISSN
- 0899-9007
- Scientific domain
- Nutrition, obesity, metabolic disorders
- Publisher
- Elsevier, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- Characteristic metric Characteristic profile Data characterization Malnutrition risk Malnutrition screening Network algorithm Non-linear differential diagnosis Protein-energy malnutrition Unsupervised classification
- Keyword (fr)
- Caractérisation Diagnostic Dépistage Facteur risque Malnutrition protéino-énergétique
- Keyword (en)
- Characterization Diagnosis Medical screening Risk factor Proteino-energetique malnutrition
- Keyword (es)
- Caracterización Diagnóstico Descubrimiento Factor riesgo Malutrición proteíno energética
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A16 Vertebrates: anatomy and physiology, studies on body, several organs or systems / 002A16E Feeding. Feeding behavior
- Discipline
- Vertebrates : anatomy and physiology, studies on body, several organs or systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27105293
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.nut.2012.04.017 
https://dx.doi.org/10.1016/j.nut.2012.04.017
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