Usefulness of the calcium score in the diagnosis of obstructive coronary diseaseVladimir MendozaRodríguez ILuis R. Llerena RojasSerguei TorresEddy W. Olivares AquilesJulio O. Cabrera RegoFernández HerreraRomualdo Linares Machado1999, Editorial Ciencias Médicas...
physicians could change the diagnosis name associated with a code when the name was inappropriate. That this option was used shows the advantage of being able to change diagnoses.
The model performance on the validation dataset was evaluated using receiver operating characteristic (ROC) curve and f1-score as a measure of accuracy. The area under the ROC curve (AUC) results are considered excellent for AUC values between 0.9 and 1.0, good for AUC values between 0.8 and ...
The approach to treatment can be challenging owing to a limited number of approved treatments (calcium, magnesium, potassium, and sodium oxybates) in idiopathic hypersomnia. However, consideration of therapies shown to improve excessive daytime sleepiness in other disorders is frequently employed. ...
A sum score (2 *Q Oscill +r2 id +DeltaT2) allowed diagnosing CRPS with a specificity of 67 % versus patients with other painful diseases and 79 % versus healthy controls (sensitivity: 73 %, and 94 %, respectively) and reflected the severity of the dysfunction in CRPS better than the ...
(95% CI 0.977–0.990) and anF1score of 0.962 (95% CI 0.953–0.972) for cardiac anomaly screening. The sensitivity of 0.946 (95% CI 0.930–0.964) was achieved by the screening model for cardiac anomaly detection with specificity at 90%. The screening model performance is detailed in ...
Several score-based algorithms and one machine learning model for predicting the subtype diagnosis of PA have been developed. However, all were based on confirmatory test data, computed tomography (CT) findings, or both26,27,28,29,30,31,32,33. The previously reported machine learning model was...
New image-guided therapy system is a complete interventional solution for confident diagnosis, image guidance, and therapy assessment of patients with stroke or other neurovascular diseasesFebruary 28, 2024 — Royal Philips, a global leader in health technology, announced major enhancements...
For both conditions, small rotations and translations were used as data augmentation. Hyperparameter values were empirically optimised for the CNN models and replicated for all the others. Final models were selected based on the F1 score (Eq. 5) in the validation set. $$\begin{aligned} \text...
Performance of the predictive model can be evaluated using sensitivity, specificity, accuracy, positive predictive value, negative predictive value, F1 score, a receiver operating characteristic (ROC) curve, or a combination thereof. A method and system for diagnosing myalgic encephalomyelitis/chronic fati...