Predicting severity of pathological scarring due to burn injuries: a clinical decision making tool using Bayesian networks.
about
Effectiveness of topical silicone gel and pressure garment therapy for burn scar prevention and management in children: study protocol for a randomised controlled trial.A prospective study of time to healing and hypertrophic scarring in paediatric burns: every day counts.The reproducibility and clinical utility of the 3D camera for measuring scar height, with a protocol for administration.Computational analysis identifies putative prognostic biomarkers of pathological scarring in skin wounds.Serum Decorin, Interleukin-1β, and Transforming Growth Factor-β Predict Hypertrophic Scarring Postburn.
P2860
Predicting severity of pathological scarring due to burn injuries: a clinical decision making tool using Bayesian networks.
description
2012 nî lūn-bûn
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2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
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name
Predicting severity of patholo ...... tool using Bayesian networks.
@en
Predicting severity of patholo ...... tool using Bayesian networks.
@nl
type
label
Predicting severity of patholo ...... tool using Bayesian networks.
@en
Predicting severity of patholo ...... tool using Bayesian networks.
@nl
prefLabel
Predicting severity of patholo ...... tool using Bayesian networks.
@en
Predicting severity of patholo ...... tool using Bayesian networks.
@nl
P2093
P2860
P50
P1476
Predicting severity of patholo ...... tool using Bayesian networks.
@en
P2093
Arber Haxhiaj
Francesca Foltran
Fulvio Lazzarato
Maurizio Stella
P2860
P304
P356
10.1111/J.1742-481X.2012.01080.X
P577
2012-09-07T00:00:00Z