Classification tree prediction models for dental caries from clinical, microbiological, and interview data.
about
Dental data mining: potential pitfalls and practical issues.Oral health condition and endemic goitre, in an iodine-deficient area in Bali, Indonesia.Dental caries risk studies revisited: causal approaches needed for future inquiriesXerostomia and medications among 32-year-olds.Chi-squared Automatic Interaction Detection Decision Tree Analysis of Risk Factors for Infant Anemia in Beijing, ChinaCaries Risk Assessment Item Importance: Risk Designation and Caries Status in Children under Age 6.Development of the Dundee Caries Risk Assessment Model (DCRAM)--risk model development using a novel application of CHAID analysis.A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality.Caries prediction: a review of the literature.Cariogram--a multifactorial risk assessment model for a multifactorial disease.Dental caries in chronically disabled elders.Determinants of quality in operative dentistry.Decision Tree Approach to the Impact of Parents' Oral Health on Dental Caries Experience in Children: A Cross-Sectional Study.
P2860
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P2860
Classification tree prediction models for dental caries from clinical, microbiological, and interview data.
description
1991 nî lūn-bûn
@nan
1991 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
1991 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
1991年の論文
@ja
1991年論文
@yue
1991年論文
@zh-hant
1991年論文
@zh-hk
1991年論文
@zh-mo
1991年論文
@zh-tw
1991年论文
@wuu
name
Classification tree prediction ...... iological, and interview data.
@ast
Classification tree prediction ...... iological, and interview data.
@en
type
label
Classification tree prediction ...... iological, and interview data.
@ast
Classification tree prediction ...... iological, and interview data.
@en
prefLabel
Classification tree prediction ...... iological, and interview data.
@ast
Classification tree prediction ...... iological, and interview data.
@en
P1476
Classification tree prediction ...... iological, and interview data.
@en
P2093
P W Stewart
P2860
P304
P356
10.1177/00220345910700090301
P407
P577
1991-09-01T00:00:00Z