Erratum: Personalized glucose forecasting for type 2 diabetes using data assimilation (PLoS Comput Biol 13: 4 (E1005232) DOI: 10.1371/journal.pcbi.1005232);Personalized glucose forecasting for type 2 diabetes using data assimilation

PLoS Computational Biology

Volumn 13, Issue 4, 2017, Pages

  Albers, David J ^a   Levine, Matthew ^a   Gluckman, Bruce ^b   Ginsberg, Henry ^a   Hripcsak, George ^a   Mamykina, Lena ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

^b The Pennsylvania State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; DECISION SUPPORT SYSTEMS; ENGINES; GEOPHYSICS; GLUCOSE; WEATHER FORECASTING;

DATA ASSIMILATION; GLUCOSE FORECASTING; GLUCOSE MEASUREMENTS; GLYCEMIC CONTROL; MANAGEMENT IS; MECHANISTIC MODELS; MODEL SELECTION; PREMATURE DEATH; QUALITY OF LIFE; TYPE-2 DIABETES;

NUTRITION;

HEMOGLOBIN A1C; INSULIN; GLUCOSE BLOOD LEVEL;

ARTICLE; BAYES THEOREM; CLINICAL ARTICLE; DIAGNOSTIC ACCURACY; EXERCISE; FEMALE; GLUCOSE BLOOD LEVEL; GLYCEMIC CONTROL; HUMAN; MALE; MATHEMATICAL ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; NUTRITION; QUALITY OF LIFE; ADULT; ALGORITHM; ANALYSIS; BIOLOGICAL MODEL; BIOLOGY; METABOLISM; PROCEDURES;

ADULT; ALGORITHMS; BLOOD GLUCOSE; COMPUTATIONAL BIOLOGY; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; INSULIN; MALE; PATIENT-SPECIFIC MODELING;

EID: 85018307645     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1009325     Document Type: Erratum

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