Alexander Bonde
Copenhagen, Denmark
Last Updated: 09/26/2026
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Found 25 publications
Validation of natural language processing for surgical complication surveillance: detecting 11 postoperative complications from electronic health records.
Journal: BMJ connections surgery
Published: January 07, 2026
Towards an AI-driven registry for postoperative complications: a proof-of-concept study evaluating the opportunities and challenges of AI models.
Journal: BMJ health & care informatics
Published: May 02, 2025
Genomic analysis of surgical patients to identify patients at risk for postoperative sepsis and surgical site infection.
Journal: The journal of trauma and acute care surgery
Published: January 06, 2025
Assessing the accuracy gap in early postoperative complication surveillance: ICD-10 codes versus manual curation-clinical and economic implications.
Journal: Scandinavian journal of surgery : SJS : official organ for the Finnish Surgical Society and the Scandinavian Surgical Society
Published: November 25, 2024
Assessing the utility of deep neural networks in detecting superficial surgical site infections from free text electronic health record data.
Journal: Frontiers in digital health
Published: June 29, 2023
Assessing optimal methods for transferring machine learning models to low-volume and imbalanced clinical datasets: experiences from predicting outcomes of Danish trauma patients.
Journal: Frontiers in digital health
Published: June 28, 2023
Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients.
Journal: Scientific reports
Published: September 12, 2022
Genetic risk factors for postoperative atrial fibrillation-a nationwide genome-wide association study (GWAS).
Journal: Frontiers in cardiovascular medicine
Published: September 09, 2022
An assessment of the effect of the genotype on postoperative venous thromboembolism risk in 140,831 surgical patients.
Journal: Annals of medicine and surgery (2012)
Published: October 08, 2021
Last Updated: 09/26/2026