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. |
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| 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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| ISSN: | 2308-3425 |
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| DOI: | 10.3390/jcdd12110420 |
