Abstract
Objective: To explore the role of artificial intelligence in the model construction for elderly intertrochanteric fracture after hidden blood loss during treatment.Methods:120 senior people with femoral intertrochanteric fracture were diagnosed with PFNA. They were divided into the group with hemorrhage (n = 35 cases) and non-blood loss group (n = 85 cases) according to whether hidden blood loss occurred after surgery. Single factor and multi-factor logistic analysis were conducted by reference to the medical records of the two groups. Artificial intelligence R software was used to establish the nomogram model for the elderly with latent hemorrhage after femoral intertrochanteric fracture. ROC curve was drawn to analyze the predictive efficacy of the model for the latent hemorrhage after intertrochanteric fracture for senior people. Results: Univariate and multivariate Logistic analysis demonstrated that the occurence of occult blood after operation in senior people with intertrochanteric fracture was statistically significant with fracture type, internal fixation method, methods in anesthesia and administration of anticoagulant drug (P < 0.05).The results of the model showed that the score for fracture type was 63 points. The score for anesthesia method was 37.6 points. The score for internal fixation was 71.5 points. The results of ROC curve showed that the C-index of the histogram model for predicting latent hemorrhage after intertrochanteric fracture was 0.816, which showed good differentiation. The area under the curve was 0.832, and the 95%CI was 0.757–0.899, which showed good prediction efficiency. Conclusion: There are many influencing factors for latent hemorrhage after intertrochanteric fracture for the senior. The prediction model of hidden blood loss based on artificial intelligence has good diagnostic sensitivity and is worthy of popularization and application.
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Acknowledgement
Special gratitude goes the research on the clinical study of tranexamic acid in reducing blood loss in senile intertrochanteric fracture with PFNA in perioperative period (Project Number: 2017AB003513) for the support of this study.
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Liu, Y., Ke, D. (2021). Discussion on Application of Artificial Intelligence in the Construction of the Model for Senile Intertrochanteric Fracture After Hidden Hemorrhage During Treatment. In: Abawajy, J., Xu, Z., Atiquzzaman, M., Zhang, X. (eds) 2021 International Conference on Applications and Techniques in Cyber Intelligence. ATCI 2021. Advances in Intelligent Systems and Computing, vol 1398. Springer, Cham. https://doi.org/10.1007/978-3-030-79200-8_86
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DOI: https://doi.org/10.1007/978-3-030-79200-8_86
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