Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery

B Saravi; A Zink; S Ulkumen; S Couillard-Despres; F Hassel; G Lang

doi:10.3390/jcm11144050

Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery

B Saravi
, A Zink
, S Ulkumen
, S Couillard-Despres (Co-Autor/-in)
, F Hassel
, G Lang

Universitätsinstitut für Experimentelle Neuroregeneration

Publikation: Beitrag in Fachzeitschrift › Originalarbeit › Begutachtung

25 Quellenangaben (Web of Science)

Originalsprache	Englisch
Seiten (von - bis)	4050
Fachzeitschrift	Journal of Clinical Medicine
Jahrgang	11
Ausgabenummer	14
DOIs	https://doi.org/10.3390/jcm11144050
Publikationsstatus	Veröffentlicht - 2022

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10.3390/jcm11144050

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title = "Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery",

keywords = "C-REACTIVE PROTEIN, HEALTH-CARE EXPENDITURES, BACK-PAIN, SPINAL STENOSIS, UNITED-STATES, RISK-FACTOR, TRENDS, COMPLICATIONS, DISEASE, FUSION",

author = "B Saravi and A Zink and S Ulkumen and S Couillard-Despres and F Hassel and G Lang",

note = "Saravi, Couillard-Despres: Institute of Experimental Neuroregeneration, Spinal Cord Injury and Tissue Regeneration Center Salzburg (SCI-TReCS), Paracelsus Medical University, 5020 Salzburg, Austria",

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AU - Saravi, B

AU - Zink, A

AU - Ulkumen, S

AU - Couillard-Despres, S

AU - Hassel, F

AU - Lang, G

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PY - 2022

Y1 - 2022

KW - C-REACTIVE PROTEIN

KW - HEALTH-CARE EXPENDITURES

KW - BACK-PAIN

KW - SPINAL STENOSIS

KW - UNITED-STATES

KW - RISK-FACTOR

KW - TRENDS

KW - COMPLICATIONS

KW - DISEASE

KW - FUSION

U2 - 10.3390/jcm11144050

DO - 10.3390/jcm11144050

M3 - Original Article

C2 - 35887814

SN - 2077-0383

VL - 11

SP - 4050

JO - Journal of Clinical Medicine

JF - Journal of Clinical Medicine

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