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1.
Accurately predicting the risk of unfavorable outcomes after endovascular coil therapy in patients with aneurysmal subarachnoid hemorrhage: an interpretable machine learning model.
Neurol Sci
; 45(2): 679-691, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-37624541
2.
Development and validation of a novel nomogram model to assess the risk of gastric contents in outpatients undergoing elective sedative gastrointestinal endoscopy procedures.
Clin Res Hepatol Gastroenterol
; 48(2): 102277, 2024 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-38159677
3.
A machine learning stacking model accurately estimating gastric fluid volume in patients undergoing elective sedated gastrointestinal endoscopy.
Postgrad Med
; 136(3): 302-311, 2024 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-38517301
4.
A convenient machine learning model to predict full stomach and evaluate the safety and comfort improvements of preoperative oral carbohydrate in patients undergoing elective painless gastrointestinal endoscopy.
Ann Med
; 55(2): 2292778, 2023.
Artículo
en Inglés
| MEDLINE | ID: mdl-38109932
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