An explainable supervised machine learning predictor of acute kidney injury after adult deceased donor liver transplantation
2021 · Journal of Translational Medicine · 83 citations
https://doi.org/10.1186/s12967-021-02990-4
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Chaojin Chen
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Chaojin Chen is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Cardiac, Anesthesia and Surgical Outcomes & Organ Transplantation Techniques and Outcomes & Airway Management and Intubation Techniques. The author has an h-index of 26, co-authored 101 publications.
ORCID: 0000-0001-5101-4101Papers by this author
worksAsymmetric dimethylarginine and all-cause mortality: a systematic review and meta-analysis
2017 · Scientific Reports · 61 citations
https://doi.org/10.1038/srep44692
Development and performance assessment of novel machine learning models to predict pneumonia after liver transplantation
2021 · Respiratory Research · 49 citations
https://doi.org/10.1186/s12931-021-01690-3
Inhibition of gap junction composed of Cx43 prevents against acute kidney injury following liver transplantation
2019 · Cell Death and Disease · 43 citations
https://doi.org/10.1038/s41419-019-1998-y
A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study
2025 · Journal of Medical Internet Research · 34 citations
https://doi.org/10.2196/55046
Cellular senescence in ischemia/reperfusion injury
2022 · Cell Death Discovery · 25 citations
https://doi.org/10.1038/s41420-022-01205-z
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