Tài liệu "Hướng dẫn chẩn đoán và điều trị các bệnh về dị ứng – miễn dịch lâm sàng: Chẩn đoán và xử trí cơn hen phế quản cấp (Diagnosis and Management of Acute Asthma)" cung cấp cho học viên nội dung về: đại cương, biểu hiện lâm sàng của bệnh, chẩn đoán, điều trị cơn hen phế quản cấp, tiên lượng - biến chứng và tiến triển bệnh, một số biện pháp phòng bệnh. Mời các bạn cùng tham khảo!

Tài liệu "Hướng dẫn chẩn đoán và điều trị các bệnh về dị ứng – miễn dịch lâm sàng: Chẩn đoán và điều trị dự phòng hen phế quản (Diagnosis and Long-term Management of Asthma)" cung cấp cho học viên nội dung về: đại cương, biểu hiện lâm sàng của bệnh, chẩn đoán, điều trị chẩn đoán và điều trị dự phòng hen phế quản, tiên lượng - biến chứng và tiến triển bệnh, một số biện pháp phòng bệnh. Mời các bạn cùng tham khảo!

This study aimed to validate the diagnostic utility of the Rajavithi-Ovarian Cancer Predictive Score (R-OPS) in preoperative ovarian cancer diagnosis and compare its efficacy with that of the Risk of Ovarian Malignancy Algorithm (ROMA).

The chosen algorithm for this project is the MLP (Multi-layer Perceptron) classifier, which has seen significant development in recent years and has widespread applications in various Al domains. This is why it has been selected as the foundation for the system in this project. The research topic aims to utilize this algorithm to construct a system that rapidly predicts whether a mushroom is edible or poisonous, facilitating practical applications.

The research is focused on exploring the applications of Artificial Intelligence algorithms in handling diagnostic wine quality data. The article discusses the successful implementation of the Decision Tree algorithm for this purpose. This drives the main research goal, which revolves around integrating the Decision Tree with flexible sliding window techniques that can continuously adapt and update over time.

In recent years, the incidence and mortality rates due to cardiovascular diseases have been on the rise globally. This is the primary reason why the main objective of this topic is to investigate techniques aimed at solving the problem of heart disease diagnosis.

To investigate the characteristics of heart patterns according to traditional medicine and to examine the relationship between pro-BNP, EF indices, and the occurrence of these syndromes in patients with cardiovascular disease.

This study compared results of online circular contrast perimetry (OCCP) versus standard automated perimetry (SAP) in clinic, as well as clinic OCCP versus home OCCP in a normal Asian population. Healthy participants underwent a comprehensive ocular examination, retinal nerve fiber layer optical coherence tomography scan, and visual field tests performed in clinic, using OCCP and SAP.

This paper presents initial experiments on using deep learning to identify pulmonary diseases through X-ray image recognition. In experiments, there were three pulmonary diseases: aortic enlargement, lung opacity, and another lesion.

The consequences of tuberculosis on human society are immense. Tuberculosis remains a major cause of morbidity and mortality in many countries and a significant public health problem worldwide. Active tuberculosis is diagnosed by detecting Mycobacterium tuberculosis complex bacilli in specimens from the respiratory tract (pulmonary TB) or in specimens from other bodily sites (extra pulmonary TB).

InfluenzaA (H1N1) 2009 virus caused the pandemic worldwide and in Vietnam, the outbreak occurred after a case imported from the U.S. Our study provided the data on viral diagnosis and molecular epidemiology of influenza H1N1 2009 virus isolated in Thua Thien Hue, central of Vietnam.

IHC has became an indispensable tool adjunct to the conventional pathology in daily practice. This technique is called immunohistochemistry because it was combined by two aspects including immunology and histochemistry applied directly on the tissue (taken from the patient lesion) section embedded in paraffin.

To evaluate the efficacy of endoscopy ultrasound for diagnosis of the diseases of pancreatico-biliary system. Patients and methods: A cross - sectional study was conducted on 78 patients undergoing endoscopy ultrasound to diagnose pancreatico-biliary diseases.

Esophageal variceal bleeding is a severe complication in cirrhosis, so assessing the risk factors for rebleeding play an important role in treating and predicting for cirrhotic patients.

This study was aimed at: (1) To describe the characteristics of the pancreatic tumor by endoscopic ultrasound; (2) To evaluate the efficacy and safety of endoscopic ultrasound fine needle aspiration in the diagnosis of pancreatic tumors.

The aim of this study is to (1) Describe the ultrasound characteristics of ovarian tumors according to the O-RADS classification. (2) Investigate the signs predicting malignancy in the O-RADS 3, 4, and 5 categories.

Bacterial meningitis is an acute central nervous infection with high mortality or permanent neurological sequelae if remained undiagnosed. The present study will therefore aim to set up in-house PCR assays for diagnosis of six pathogens causing the disease including H. influenzae type b, S. pneumoniae, N. meningitidis, S. suis serotype 2, E. coli and S. aureus.

Among mandibular fractures, condyle fractures are common injuries which directly affect the occlusal function and aesthetics of the patients. Accurate diagnosis based on clinical and radiographic features helps to choose the appropriate treatment. This study aims to evaluate clinical features, morphologies on CT Scan of mandibular condyle fractures and analyze the relationship between these characteristics.

Accurate diagnosis and effective management of acute toothache is one of the important aspects of dental care. To compare the results of endodontic treatment of acute periodontitis by immediate endodontic debridement and open tooth methods.

Artificial neural networks, which are an essential tool in Machine Learning, are used to solve many types of problems in different fields. This article will introduce an application of the artificial neural network model in the diagnosis of heart disease based on the heart.csv data file.