… Diagnosis of COPD at early stages needs additional clinical tests … The lung sounds were
recorded from the clinical auscultation … Deep extreme learning machines classifier (deep ELM), …

… development of deep learning 12,13 endows machine-learning models with … clinical symptoms
in the chief complaint. Next, we used BERT 25 to extract features for all such symptoms, to …

… although most CoVs cause mild clinical symptoms in humans. In … We summarized clinical
phenomes of 3795 patients with … perform deep learning, and carry out the application of clinical …

… These also share clinical symptoms; thus, it is important to diagnose and treat AD at its early
stages. To do this, magnetic resonance imaging (MRI) scans, which can detect changes in …

… Similarly, clinical management of PD and the great majority of clinical research on PD …
clinical use, has the potential to significantly enhance accessibility to and reduce costs of clinical …

… does not consider the clinical meaning of the observed symptoms and it allows individual
variability when reporting different traits or characteristics, in contrast to a clinical interview [73]. …

… Clinical diagnosis reveals a range of motor to non motor symptoms in these patients. … and
Parkinson’s disease subjects using deep learning neural network. The Convolutional Neural …

… datasets: one for statistical analysis of symptoms [13] and the other for … , symptoms, chronic
diseases, etc. The second dataset contains chest X-ray images along with clinical symptoms …

… However, the initial goal was to incorporate a deep learning model in our emergent clinical
setting as a supporting tool. In the near future, we will train our model using CT images from …

… could be assessed by detecting clinical symptoms as well as … In many cases, the patient’s
clinical situation does not allow a … As a result, CXR is considered as the main tool for clinical …