TY - THES
T1 - The secrets of sepsis
T2 - A data-driven approach to improve its diagnostic work-up and treatment
AU - Schinkel, M.
PY - 2023/5/26
Y1 - 2023/5/26
N2 - This thesis investigates sepsis management, focusing on diagnostic work-up, antibiotic treatment, and applying data and machine learning to optimize care. Despite decades of research, effective sepsis-specific therapies have yet to be found, limiting the treatment options to supportive therapy and antimicrobials. By implementing a sepsis response team in our hospital's emergency
AB - This thesis investigates sepsis management, focusing on diagnostic work-up, antibiotic treatment, and applying data and machine learning to optimize care. Despite decades of research, effective sepsis-specific therapies have yet to be found, limiting the treatment options to supportive therapy and antimicrobials. By implementing a sepsis response team in our hospital's emergency
UR - https://pure.uva.nl/ws/files/124673690/Licentieovereenkomst_medeondertekend_.pdf
UR - https://pure.uva.nl/ws/files/124673692/Stellingen.pdf
UR - https://pure.uva.nl/ws/files/124673815/Changes.docx
M3 - Phd-Thesis - Research and graduation internal
SN - 9789493278431
ER -
