In the realm of educational research, a comprehensive analysis of student performance unfolds through the application of diverse machine learning algorithms. These algorithms serve as advanced analytical tools, distil...
详细信息
Kidney diseases (KD) are a global public health concern affecting millions. Early detection and prediction are crucial for effective treatment. Artificial intelligence (AI) techniques have been used in KDP to analyze ...
详细信息
Kidney diseases (KD) are a global public health concern affecting millions. Early detection and prediction are crucial for effective treatment. Artificial intelligence (AI) techniques have been used in KDP to analyze past medical records, applying patients’ Electronic Medical Record (EHR) data. However, conventional statistical analysis methods conflict with fully comprehending the complexity of EHR data. AI algorithms have helped early KDP learn and identify complex data patterns. However, challenges include training heterogeneous historical data, protecting privacy and security, and developing monitoring system regulations. This study addresses the primary challenge of training heterogeneous datasets for real-world evaluation. Early detection and diagnosis of chronic kidney disease (CKD) is crucial for improved outcomes, reduced healthcare costs, and reliable treatment. Early treatments are crucial for CKD, as it often develops without apparent symptoms. Predictive models, particularly those using reinforcement learning (RL), can identify significant trends in complex healthcare information, which standard techniques may struggle with. The study makes KDP more accurate and reliable using RL methods on clinical data. This lets doctors find diseases earlier and treat them better by looking at static and changing health measurements. Machine learning (ML) algorithms can enhance the accuracy of AI systems over time, enhancing their effectiveness in detecting and diagnosing diseases. In the current investigation, the RL-ANN model is implemented for performing enforceable CKD by assessing the outcomes of multiple neural networks, which include FNN, RNN, and CNN, according to parameters such as accuracy, sensitivity, specificity, prediction error, prediction rate, and kidney failure rate (KFR). The recommended RL-ANN method has a lower failure rate of 70% based on the KFR data. Further, the proposed approach earned 95% in PR and 70% in analysis of errors. However, the RL
December 2019 witnessed the outbreak of a novel coronavirus, thought to have started in the Chinese city of Wuhan. The situation worsened owing to its quick spread across the globe, leading to a worldwide pandemic tha...
详细信息
Respiratory diseases pose significant health challenges worldwide, necessitating accurate and timely diagnosis for effective management. This paper proposes an approach for automated respiratory condition detection us...
详细信息
In addressing the limitations of traditional short text similarity calculation methods, this paper presents SMSABLC, a deep learning-based approach that takes into account polysemy, character order, and contextual sem...
详细信息
Human behavior research is becoming more and more important in human-centered software. Today, many public spaces utilize video monitoring because of improvements in technology and decreased costs. However, the majori...
详细信息
Language and organ signs allow humans to convey their feelings. When a large number of people express their emotions about a particular topic, it indicates a point of col-lective assessment, in short people's sent...
详细信息
Breast cancer was diagnosed in 2.3 million individuals worldwide in 2022, and was the cause of 670,000 deaths. It ranks as the second most common cancer overall and the most frequently diagnosed cancer in women. Since...
详细信息
The current technological advancements carry stringent communication requirements. These requirements cannot be achieved by current networks. Therefore, a new paradigm called semantic communication is proposed. Semant...
详细信息
Emotion recognition has become a popular area of research in recent years, as emotions play a significant role in our social lives. There are many internal and external factors that trigger emotional changes, making i...
详细信息
暂无评论