[HTML][HTML] Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures
J Schilcher, A Nilsson, O Andlid, A Eklund - Computers in Biology and …, 2024 - Elsevier
Atypical femur fractures (AFF) represent a very rare type of fracture that can be difficult to
discriminate radiologically from normal femur fractures (NFF). AFFs are associated with …
discriminate radiologically from normal femur fractures (NFF). AFFs are associated with …
The prediction of early mortality following hip fracture surgery in patients aged 90 years and older: the Almelo Hip Fracture Score 90 (AHFS90)
WS Nijmeijer, BJ Voorthuis… - Osteoporosis …, 2023 - Springer
The AHFS90 was developed for the prediction of early mortality in patients≥ 90 years
undergoing hip fracture surgery. The AHFS90 has a good accuracy and in most risk …
undergoing hip fracture surgery. The AHFS90 has a good accuracy and in most risk …
[HTML][HTML] Study and validation of an explainable machine learning-based mortality prediction following emergency surgery in the elderly: a prospective observational …
Introduction The heterogeneity of procedures and the variety of comorbidities of the patients
undergoing surgery in an emergency setting makes perioperative risk stratification …
undergoing surgery in an emergency setting makes perioperative risk stratification …
Feature importance to explain multimodal prediction models. A clinical use case
Surgery to treat elderly hip fracture patients may cause complications that can lead to early
mortality. An early warning system for complications could provoke clinicians to monitor high …
mortality. An early warning system for complications could provoke clinicians to monitor high …
Palliative Non-Operative Management in Geriatric Hip Fracture Patients: When Would Surgeons Abstain from Surgery?
Background: For hip fracture patients with a limited life expectancy, operative and palliative
non-operative management (P-NOM) can yield similar quality of life outcomes. However …
non-operative management (P-NOM) can yield similar quality of life outcomes. However …
Comorbidity identification in clinical documents with medical terminology-based weak supervision.
S Brouwer - 2024 - essay.utwente.nl
Knowledge of patient comorbidities is crucial for effective healthcare decision-making and
predictive modeling. However, data regarding comorbidities is often buried in unstructured …
predictive modeling. However, data regarding comorbidities is often buried in unstructured …
Multimodal 100 day postoperative mortality prediction for geriatric patients with a hip fracture: working towards clinical implementation
N Heijden - 2024 - essay.utwente.nl
Hip fractures are a highly prevalent type of fracture among elderly patients with a high
chance of mortality (13% within a 100 days post surgery), high healthcare costs and a heavy …
chance of mortality (13% within a 100 days post surgery), high healthcare costs and a heavy …
[PDF][PDF] OPTIMAL CARE FOR GERIATRIC HIP FRACTURE PATIENTS
M Bui - 2023 - essay.utwente.nl
Hip fractures are a global health problem [1] with an increasing incidence due to the ageing
population [3, 4]. According to epidemiological projections, 6.26 million individuals will be …
population [3, 4]. According to epidemiological projections, 6.26 million individuals will be …
[PDF][PDF] Optimal care for geriatric hip fracture patients: an interdisciplinary perspective on preoperative decision-making and postoperative rehabilitation
M Bui - 2023 - essay.utwente.nl
Hip fractures are a global health problem [1] with an increasing incidence due to the ageing
population [3, 4]. According to epidemiological projections, 6.26 million individuals will be …
population [3, 4]. According to epidemiological projections, 6.26 million individuals will be …
髋部骨折患者术后 30 天死亡风险预测模型的范围综述
王月, 刘国庆, 牛聪影, 张振伟, 孙建, 褚友艾… - 护理 …, 2025 - manu68.magtech.com.cn
目的对\部骨折患者术后30 d 死亡风险预测模型进行范围综述! 为临床护理实践及研究提供借鉴
% 方法聚焦\部骨折患者术后30 d 死亡风险预测模型! 系统检索PubMed&Embase&Web of …
% 方法聚焦\部骨折患者术后30 d 死亡风险预测模型! 系统检索PubMed&Embase&Web of …