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Clinical prediction model by machine learning to determine the results of maternal dietary avoidance in food protein-induced allergic proctocolitis infants.

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Title: Clinical prediction model by machine learning to determine the results of maternal dietary avoidance in food protein-induced allergic proctocolitis infants.
Authors: Li J; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Zhou MY; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Li Y; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Wu X; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Li X; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Xie XL; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China., Xiong LJ; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Source: Frontiers in pediatrics [Front Pediatr] 2025 May 16; Vol. 13, pp. 1612076. Date of Electronic Publication: 2025 May 16 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101615492 Publication Model: eCollection Cited Medium: Print ISSN: 2296-2360 (Print) Linking ISSN: 22962360 NLM ISO Abbreviation: Front Pediatr Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Clinical prediction model by machine learning to determine the results of maternal dietary avoidance in food protein-induced allergic proctocolitis infants.
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  Data: <searchLink fieldCode="AU" term="%22Li+J%22">Li J</searchLink>; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Zhou+MY%22">Zhou MY</searchLink>; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Wu+X%22">Wu X</searchLink>; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Xie+XL%22">Xie XL</searchLink>; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.<br /><searchLink fieldCode="AU" term="%22Xiong+LJ%22">Xiong LJ</searchLink>; Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
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  Data: <searchLink fieldCode="JN" term="%22101615492%22">Frontiers in pediatrics</searchLink> [Front Pediatr] 2025 May 16; Vol. 13, pp. 1612076. <i>Date of Electronic Publication: </i>2025 May 16 (<i>Print Publication: </i>2025).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101615492 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-2360 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222962360%22">22962360 </searchLink><i>NLM ISO Abbreviation: </i>Front Pediatr <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3389/fped.2025.1612076
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              Text: 2025 May 16
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