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1.
Diagnostics (Basel) ; 13(17)2023 Aug 31.
Artigo em Inglês | MEDLINE | ID: mdl-37685365

RESUMO

Parkinson's disease (PD) is a chronic and progressive neurological disease that mostly shakes and compromises the motor system of the human brain. Patients with PD can face resting tremors, loss of balance, bradykinesia, and rigidity problems. Complex patterns of PD, i.e., with relevance to other neurological diseases and minor changes in brain structure, make the diagnosis of this disease a challenge and cause inaccuracy of about 25% in the diagnostics. The research community utilizes different machine learning techniques for diagnosis using handcrafted features. This paper proposes a computer-aided diagnostic system using a convolutional neural network (CNN) to diagnose PD. CNN is one of the most suitable models to extract and learn the essential features of a problem. The dataset is obtained from Parkinson's Progression Markers Initiative (PPMI), which provides different datasets (benchmarks), such as T2-weighted MRI for PD and other healthy controls (HC). The mid slices are collected from each MRI. Further, these slices are registered for alignment. Since the PD can be found in substantia nigra (i.e., the midbrain), the midbrain region of the registered T2-weighted MRI slice is selected using the freehand region of interest technique with a 33 × 33 sized window. Several experiments have been carried out to ensure the validity of the CNN. The standard measures, such as accuracy, sensitivity, specificity, and area under the curve, are used to evaluate the proposed system. The evaluation results show that CNN provides better accuracy than machine learning techniques, such as naive Bayes, decision tree, support vector machine, and artificial neural network.

2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-468770

RESUMO

Objective To evaluate the efficacy and safety of desloratadine citrate disodium versus epinastine for the treatment of chronic urticaria (CU).Methods A randomized,double-blind,double-dummy controlled clinical trial was conducted.Patients with CU were divided into test group and control group to be treated by oral desloratadine citrate disodium (8.8 mg/d) and epinastine (10 mg/d) respectively once a day for 28 days.All the patients were followed up after starting treatment.Therapeutic effect was evaluated,and adverse reactions were observed.Results One hundred and fifty-seven patients were enrolled in this study,and 142 patients were valid for evaluation of efficacy and safety at the end of study.After treatment for 28 days,there was no significant difference between the test group and control group in response rate (81.16 % vs.78.08 %,P > 0.05) or incidence rate of adverse reactions (13.89 % vs.12.16 %,P> 0.05).Conclusion Desloratadine citrate disodium is effective and safe for the treatment of CU.

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