|
Volumn 51, Issue 1, 2009, Pages 61-68
|
Construction of a dental caries prediction model by data mining.
a a a a a a a a |
Author keywords
[No Author keywords available]
|
Indexed keywords
ANTICARIES AGENT;
FLUORIDE;
SUCROSE;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BACTERIAL COUNT;
BEVERAGE;
BIOLOGICAL MODEL;
CARBOHYDRATE DIET;
CHILD;
DECISION SUPPORT SYSTEM;
DENTAL CARIES;
FEEDING BEHAVIOR;
FEMALE;
FOLLOW UP;
FORECASTING;
HEALTH SURVEY;
HUMAN;
ISOLATION AND PURIFICATION;
JAPAN;
LACTOBACILLUS;
MALE;
MICROBIOLOGY;
PH;
PHYSIOLOGY;
PRESCHOOL CHILD;
SALIVA;
SECRETION;
SENSITIVITY AND SPECIFICITY;
STATISTICAL ANALYSIS;
STATISTICAL MODEL;
STREPTOCOCCUS MUTANS;
ALGORITHMS;
BEVERAGES;
CARIOSTATIC AGENTS;
CHILD;
CHILD, PRESCHOOL;
COLONY COUNT, MICROBIAL;
DATA INTERPRETATION, STATISTICAL;
DECISION SUPPORT TECHNIQUES;
DENTAL CARIES;
DIETARY CARBOHYDRATES;
DMF INDEX;
FEMALE;
FLUORIDES;
FOLLOW-UP STUDIES;
FOOD HABITS;
FORECASTING;
HUMANS;
HYDROGEN-ION CONCENTRATION;
JAPAN;
LACTOBACILLUS;
LOGISTIC MODELS;
MALE;
MODELS, BIOLOGICAL;
NEURAL NETWORKS (COMPUTER);
SALIVA;
SECRETORY RATE;
SENSITIVITY AND SPECIFICITY;
STREPTOCOCCUS MUTANS;
SUCROSE;
|
EID: 68949085417
PISSN: 13434934
EISSN: None
Source Type: Journal
DOI: 10.2334/josnusd.51.61 Document Type: Article |
Times cited : (28)
|
References (0)
|