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These data are from a study where surgical case durations were predicted by surgeons and animal health technologists
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创建时间:
2018-04-26
相关数据集
Additional file 1 of Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data
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DURATION OF CARDIOPULMONARY BYPASS AND MYOCARDIAL ISCHEMIA AS PREDICTORS OF SEVERE INOTROPIC SUPPORT IN CHILDREN WITH TETRALOGY OF FALLOT AFTER RADICAL CORRECTION
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Table S1 - Forced Expiratory Volume in One Second Predicts Length of Stay and In-Hospital Mortality in Patients Undergoing Cardiac Surgery: A Retrospective Cohort Study
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Structural brain network abnormalities and the probability of seizure recurrence after epilepsy surgery
Supplementary code and data for "Structural brain network abnormalities and the probability of seizure recurrence after epilepsy surgery " https://doi.org/10.1212/WNL.0000000000011315
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