Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data and precisely diagnoses ca...Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data and precisely diagnoses cardiovascular disease using machine learning algorithms. Early diagnosis may lead to better outcomes for heart treatment. Then, utilizing machine learning to detect cardiac disease will be easy in a couple of seconds. This study proposes an automatic way for detecting cardiovascular diseases such as heart disease using machine learning. A physician’s accurate and thorough evaluation of a patient’s cardiovascular risk plays a critical role in lowering the incidence and severity of heart attacks and strokes as well as improving cardiovascular protection. To develop technology for the early detection of cardiovascular disease, the Kaggle dataset was gathered. Certain preprocessing techniques were used to improve accuracy and outcomes. Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random forest yielded the highest accuracy of 96%, making them useful for obtaining high-quality results with greater precision.展开更多
Information Technology or AI, a combination of computer science, logic, biology, psychology, and philosophy, is set to dominate our future, revolutionizing social progress, labor productivity, and cost reduction. It i...Information Technology or AI, a combination of computer science, logic, biology, psychology, and philosophy, is set to dominate our future, revolutionizing social progress, labor productivity, and cost reduction. It is essential for AI database integration and the next generation of computing, supporting Intelligent Information Systems and distributed cooperative labor. AI and IT integration are enhancing efficiency, creativity, and digital capabilities, with applications in customer service, healthcare, personalized medicine, and driverless cars. The paper tends to review the developments and trends in information technology using artificial intelligence (AI) as weapons to re-build the future world. With qualitative analysis of previous research studies, the paper tries to explain the role of AI in present information flow as well as for future. And after studying the selective papers it efficiently explains the advantage of AI in both human and environmental way. AI has the potential to significantly impact our lives, but fundamental questions remain unanswered about its extent, scope, and timeline. Current tools are insufficient to predict future AI achievements or fully comprehend its capabilities. To determine the readiness level for different technologies with AI, criteria are defined based on historical evolution. AI has revolutionized the IT industry, improving efficiency, productivity, and quality. However, concerns arise about the potential impact on the workforce, with concerns about job redundancy and potential unjust outcomes in critical areas like employment, finance, and law enforcement.展开更多
文摘Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data and precisely diagnoses cardiovascular disease using machine learning algorithms. Early diagnosis may lead to better outcomes for heart treatment. Then, utilizing machine learning to detect cardiac disease will be easy in a couple of seconds. This study proposes an automatic way for detecting cardiovascular diseases such as heart disease using machine learning. A physician’s accurate and thorough evaluation of a patient’s cardiovascular risk plays a critical role in lowering the incidence and severity of heart attacks and strokes as well as improving cardiovascular protection. To develop technology for the early detection of cardiovascular disease, the Kaggle dataset was gathered. Certain preprocessing techniques were used to improve accuracy and outcomes. Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random forest yielded the highest accuracy of 96%, making them useful for obtaining high-quality results with greater precision.
文摘Information Technology or AI, a combination of computer science, logic, biology, psychology, and philosophy, is set to dominate our future, revolutionizing social progress, labor productivity, and cost reduction. It is essential for AI database integration and the next generation of computing, supporting Intelligent Information Systems and distributed cooperative labor. AI and IT integration are enhancing efficiency, creativity, and digital capabilities, with applications in customer service, healthcare, personalized medicine, and driverless cars. The paper tends to review the developments and trends in information technology using artificial intelligence (AI) as weapons to re-build the future world. With qualitative analysis of previous research studies, the paper tries to explain the role of AI in present information flow as well as for future. And after studying the selective papers it efficiently explains the advantage of AI in both human and environmental way. AI has the potential to significantly impact our lives, but fundamental questions remain unanswered about its extent, scope, and timeline. Current tools are insufficient to predict future AI achievements or fully comprehend its capabilities. To determine the readiness level for different technologies with AI, criteria are defined based on historical evolution. AI has revolutionized the IT industry, improving efficiency, productivity, and quality. However, concerns arise about the potential impact on the workforce, with concerns about job redundancy and potential unjust outcomes in critical areas like employment, finance, and law enforcement.
