Response to Letter: Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients
DOI:
https://doi.org/10.2340/17453674.2026.45733Keywords:
Educational, Elderly patients, Fractures, Hip fracture, Machine learning, Shared decision makingDownloads
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Yıldırım E. Letter to the Editor – Comment on: Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients. 2026; 97: 240. doi: 10.2340/17453674.2026.45362 DOI: https://doi.org/10.2340/17453674.2026.45362
Dijkstra H, Parsons C S, van Bremen H-E, Willems H C, De Hond A A H, C Van Munster B, et al. Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases. Acta Orthop 2025; 96: 521-8. doi: 10.2340/17453674.2025.44248 DOI: https://doi.org/10.2340/17453674.2025.44248
Loggers S A I, Willems H C, Van Balen R, Gosens T, Polinder S, Ponsen K J, et al; Group FHS. Evaluation of quality of life after nonoperative or operative management of proximal femoral fractures in frail institutionalized patients: The FRAIL-HIP Study. JAMA Surg 2022; 157(5): 424-44. doi: 10.1001/jamasurg.2022.0089 DOI: https://doi.org/10.1001/jamasurg.2022.0089
Parsons C S, Zuiderwijk A, Orchard N A, Oosterhoff J H F, de Reuver M. Task-technology fit of artificial intelligence-based clinical decision support systems: a review of qualitative studies. BMC Med Inform Decis Mak 2025; 25(1): 397. doi: 10.1186/s12911-025-03237-8 DOI: https://doi.org/10.1186/s12911-025-03237-8
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Copyright (c) 2026 Hidde Dijkstra, Cathleen S Parsons, Hanne-Eva van Bremen, Hanna C Willems, Anne A H de Hond, Barbara C van Munster, Job N Doornberg, Jacobien H. F. Oosterhoff

This work is licensed under a Creative Commons Attribution 4.0 International License.
