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Prediction of Postoperative Mortality After Fontan Procedure: A Clinical Prediction Model Study Using Deep Learning Artificial Intelligence Techniques.

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Title: Prediction of Postoperative Mortality After Fontan Procedure: A Clinical Prediction Model Study Using Deep Learning Artificial Intelligence Techniques.
Authors: Kolcz J; Department of Pediatric Cardiac Surgery, Collegium Medicum, Jagiellonian University, Wielicka 265 St., 31-007 Krakow, Poland., Budzynska A; Department of Pediatric Cardiac Surgery, Collegium Medicum, Jagiellonian University, Wielicka 265 St., 31-007 Krakow, Poland., Stefaniak J; Department of Bioinformatics and Telemedicine, Collegium Medicum, Jagiellonian University, Medyczna 7 St., 30-688 Krakow, Poland., Szydlak R; Department of Bioinformatics and Telemedicine, Collegium Medicum, Jagiellonian University, Medyczna 7 St., 30-688 Krakow, Poland., Kononowicz AA; Department of Bioinformatics and Telemedicine, Collegium Medicum, Jagiellonian University, Medyczna 7 St., 30-688 Krakow, Poland.
Source: Journal of cardiovascular development and disease [J Cardiovasc Dev Dis] 2025 Oct 23; Vol. 12 (11). Date of Electronic Publication: 2025 Oct 23.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101651414 Publication Model: Electronic Cited Medium: Internet ISSN: 2308-3425 (Electronic) Linking ISSN: 23083425 NLM ISO Abbreviation: J Cardiovasc Dev Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Prediction of Postoperative Mortality After Fontan Procedure: A Clinical Prediction Model Study Using Deep Learning Artificial Intelligence Techniques.
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  Data: <searchLink fieldCode="AU" term="%22Kolcz+J%22">Kolcz J</searchLink>; Department of Pediatric Cardiac Surgery, Collegium Medicum, Jagiellonian University, Wielicka 265 St., 31-007 Krakow, Poland.<br /><searchLink fieldCode="AU" term="%22Budzynska+A%22">Budzynska A</searchLink>; Department of Pediatric Cardiac Surgery, Collegium Medicum, Jagiellonian University, Wielicka 265 St., 31-007 Krakow, Poland.<br /><searchLink fieldCode="AU" term="%22Stefaniak+J%22">Stefaniak J</searchLink>; Department of Bioinformatics and Telemedicine, Collegium Medicum, Jagiellonian University, Medyczna 7 St., 30-688 Krakow, Poland.<br /><searchLink fieldCode="AU" term="%22Szydlak+R%22">Szydlak R</searchLink>; Department of Bioinformatics and Telemedicine, Collegium Medicum, Jagiellonian University, Medyczna 7 St., 30-688 Krakow, Poland.<br /><searchLink fieldCode="AU" term="%22Kononowicz+AA%22">Kononowicz AA</searchLink>; Department of Bioinformatics and Telemedicine, Collegium Medicum, Jagiellonian University, Medyczna 7 St., 30-688 Krakow, Poland.
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  Data: <searchLink fieldCode="JN" term="%22101651414%22">Journal of cardiovascular development and disease</searchLink> [J Cardiovasc Dev Dis] 2025 Oct 23; Vol. 12 (11). <i>Date of Electronic Publication: </i>2025 Oct 23.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101651414 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2308-3425 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223083425%22">23083425 </searchLink><i>NLM ISO Abbreviation: </i>J Cardiovasc Dev Dis <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/jcdd12110420
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        Text: English
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      – TitleFull: Prediction of Postoperative Mortality After Fontan Procedure: A Clinical Prediction Model Study Using Deep Learning Artificial Intelligence Techniques.
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            NameFull: Kolcz J
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            NameFull: Budzynska A
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            – D: 23
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              Text: 2025 Oct 23
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