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pro vyhledávání: '"Fahimeh Farokhnia"'
Machine learning (ML) possesses unique characteristics that render it useful in a variety of applications. Thanks to creative approaches to observing complex clinical data through the lens of mathematical coding, researchers have uncovered a crossroa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e94d1f77f40b7c1e077dea54d09b7aa7
https://doi.org/10.21203/rs.3.rs-2574558/v1
https://doi.org/10.21203/rs.3.rs-2574558/v1
Publikováno v:
Work (Reading, Mass.).
BACKGROUND: The COVID-19 pandemic has struck nations worldwide, pushing worldwide health and socio-economic systems to extreme limits. Upon exposure to an exceeding number of patients and supply shortages, the resilience of healthcare resources has b
Autor:
Maziar Maghsoudloo, Fahimeh Farokhnia, Zahid Hussain Khan, Amir Poya Zanjani, Jalil Makarem, Morteza Fazli
Publikováno v:
Journal of Clinical Anesthesia. 36:84-87
Study objective To compare the characteristics of NMDR induced muscle paralysis in breast cancer patients with and without a history of recent chemotherapy with cyclophosphamide, doxorubicin and 5-fluorouracil (CAF) regimen. Design This is a non-rand