دورية أكاديمية
Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning
العنوان: | Predicting Length of Stay of Coronary Artery Bypass Grafting Patients Using Machine Learning |
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المؤلفون: | Triana, Austin J., Vyas, Rushikesh, Shah, Ashish S., Tiwari, Vikram |
المساهمون: | Vanderbilt University School of Medicine |
المصدر: | Journal of Surgical Research ; volume 264, page 68-75 ; ISSN 0022-4804 |
بيانات النشر: | Elsevier BV |
سنة النشر: | 2021 |
المجموعة: | ScienceDirect (Elsevier - Open Access Articles via Crossref) |
مصطلحات موضوعية: | Surgery |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
DOI: | 10.1016/j.jss.2021.02.003 |
الإتاحة: | https://doi.org/10.1016/j.jss.2021.02.003Test https://api.elsevier.com/content/article/PII:S0022480421000883?httpAccept=text/xmlTest https://api.elsevier.com/content/article/PII:S0022480421000883?httpAccept=text/plainTest |
حقوق: | https://www.elsevier.com/tdm/userlicense/1.0Test/ ; https://doi.org/10.15223/policy-017Test ; https://doi.org/10.15223/policy-037Test ; https://doi.org/10.15223/policy-012Test ; https://doi.org/10.15223/policy-029Test ; https://doi.org/10.15223/policy-004Test |
رقم الانضمام: | edsbas.8271D592 |
قاعدة البيانات: | BASE |
DOI: | 10.1016/j.jss.2021.02.003 |
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