11 天前 - … Image-guided SBRT was delivered with a robotic or linear accelerator–based system
in … the ability of machine learning to predict short- and mid-term survival after surgery for …

20 天前 - … mortality associated with ARIs since they make decisions about … Therefore, this
study aimed at predicting absence of … using Python (version 3.9), and machine learning models …

22 天前 - … using a deep learning algorithm (Contour Protégé AI, MIM Software). Metastatic
lesions were segmented using a … may be insufficient to predict dose delivery. Further studies will …

23 天前 - … rates than the predictions made by classical machine learning using the deep
learning model TabNet model and thus to increase the risk prediction rates when performing …

25 天前 - … aim to establish deep learning models to optimize the individualized energy delivery
for … Conclusions: Our study established time-series prediction models for septic patients to …

30 天前 - … care delivery through a patient-centered focus. We sought to investigate whether
deep learning models can be used to predict … in the postoperative period after elective surgery. …

31 天前 - … after caesarean section were analysed. A Chi-square test was used to compare
the count data between groups, and a homogeneity test of variance was used to compare the …

55 天前 - … (operative vaginal delivery or spontaneous delivery). To evaluate the performance
… delivery outcome prediction of our dataset was performed using the same machine learning …

109 天前 - … Therefore, we divided pregnant women into a caesarean section group and a
vaginal delivery group and performed the above machine learning feature selection and model …

144 天前 - … machine learning method (QLattice) to predict successful vaginal birth after cesarean
… Western European population-based prediction model for deliveries at term. BJOG 121:…