Download or read book A Novel Method for Heart Disease Prediction Using Feature Selection Method and Classification Algorithms written by C. Sowmiya and published by Independent Author. This book was released on 2023-02-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: a book by C. Sowmya that suggests a new approach to predicting cardiac disease using feature selection and classification algorithms.
Download or read book A Novel Cluster And Rank Based Method For Prediction Of Heart Diseases written by K. Aravinthan and published by Ary Publisher. This book was released on 2023-03-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heart disease is a leading cause of death worldwide, and early prediction is crucial for effective prevention and management. A novel cluster and rank-based method for prediction of heart disease involves using machine learning algorithms to cluster patients based on similar risk factors and rank them based on their likelihood of developing cardiovascular disease. This method utilizes feature selection techniques to identify the most important risk factors and uses a classification model to predict the risk of heart disease based on these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC. This approach has several advantages, including improved accuracy in predicting heart disease risk, the ability to identify subgroups of patients with similar risk profiles, and the potential to integrate data from electronic health records and other sources.
Download or read book A Novel Ensemble Technique for the Prediction of Heart Disease Using Feature Selection Methods written by N. Jagadeesan and published by . This book was released on 2024-01-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining is the process of analysing large sets of data in order to discover meaningful patterns and relationships. It involves using a combination of statistical analysis, machine learning algorithms, and data visualization techniques to uncover hidden insights that can inform business decisions or provide new insights into a particular field. One of the key benefits of data mining is its ability to extract valuable insights from vast amounts of data that might be difficult or impossible to analyse manually. For example, data mining can help businesses understand customer behaviour and preferences, identify potential risks or opportunities, and improve operational efficiency. Data mining is used in a variety of fields, including finance, healthcare, marketing, and science. It can be used to detect fraud in financial transactions, predict disease outbreaks in healthcare, target marketing campaigns more effectively, and identify new scientific discoveries. However, data mining also raises important ethical and privacy concerns. The use of personal data without individuals' consent or knowledge can lead to potential violations of privacy and discrimination. Therefore, it is essential to use data mining in a responsible and ethical manner, while maintaining transparency and accountability.
Download or read book Proceedings of the International Conference on Computer Information Technology and Intelligent Computing CITIC 2022 written by Su-Cheng Haw and published by Springer Nature. This book was released on 2023-02-10 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book.The 2nd International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022) will be held on 25-27 July 2022 virtually. This conference is being co-organized by Faculty of Computing & Informatics (FCI) and Faculty of Information Science Technology (FIST), Multimedia University. CITIC 2022 aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Frontiers in Computer, Information Technology and Intelligent Computing. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computer, Information Technology and Intelligent Computing. This is an open access book.
Download or read book Communication and Intelligent Systems written by Harish Sharma and published by Springer Nature. This book was released on with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book International Conference on Innovative Computing and Communications written by Ashish Khanna and published by Springer Nature. This book was released on 2021-08-28 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the Fourth International Conference on Innovative Computing and Communication (ICICC 2021), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 20–21, 2021. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Download or read book Fundamentals and Methods of Machine and Deep Learning written by Pradeep Singh and published by John Wiley & Sons. This book was released on 2022-02-01 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field. The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation. Audience Researchers and engineers in artificial intelligence, computer scientists as well as software developers.
Download or read book Advanced Computing written by Deepak Garg and published by Springer Nature. This book was released on 2023-07-13 with total page 534 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes reviewed and selected papers from the 12th International Advanced Computing Conference, IACC 2022, held in Hyderabad, India, in December 2022. The 72 full papers and 6 short papers presented in the volume were thorougly reviewed and selected from 415 submissions. The papers are organized in the following topical sections: AI in industrial applications; application of AI for disease classification and trend analysis; design of agricultural applications using AI; disease classification using CNN; innovations in AI; system security and communication using AI; use of AI in human psychology; use of AI in music and video industries.
Download or read book Making heart diseases detectable The invention of an algorithm for systematically predictions written by Daniyal Baig and published by GRIN Verlag. This book was released on 2020-11-17 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (postgraduate) from the year 2020 in the subject Computer Science - Programming, grade: 3, , course: Machine learning, language: English, abstract: In this research paper it will be conducted and experimentally analysed to seek an improved method to predict heart disease in the upcoming years. So efficient steps can be taken in order to predict and treat the avoidable fatal heart problem. This work will be creating an efficient algorithm which will detect the disease on the basis of some parameters and give as much accurate information as possible. By using this method one can systematically predict the risk of suffering from this disease. The main feature utilized in the detection will include age, gender, max heart rate, exercise induced angina etc. In today’s world the heart disease is increasing. Hence a lot of data related to the heart disease is being collected by using data mining. This important can be evaluated and used to predict and detect the coronary artery disease and heart related problem before the occurrence of the fatal experience. Many different types of life threating diseases are amongst people but heart disease has been studied the most in medical research. Early diagnosis of the disease is a very difficult task. We want to introduce an automated way of prediction of heart disease in individuals. This solution is not one and all solution but it will serve as a complementary diagnosis in the field of medical research. The main task in heart disease is to detect the disease early and treat it efficiently before any fatal experience occurs.
Download or read book Fourth Congress on Intelligent Systems written by Sandeep Kumar and published by Springer Nature. This book was released on with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Revolutionizing Cardiac Muscle Detection Harnessing the Power of Machine Learning written by Yenni Rajasekhar and published by GRIN Verlag. This book was released on 2024-01-10 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bachelor Thesis from the year 2023 in the subject Medicine - Biomedical Engineering, , language: English, abstract: This analysis explores advanced deep-learning techniques for stock price prediction, assessing transfer learning-based DTRSI, CNNs, and collaborative networks with sentiment analysis. DTRSI effectively addresses overfitting, outperforming traditional models. CNNs excel in predicting stock trends across time frames, while collaborative networks combining sentiment analysis and candlestick data show promise, particularly for specific stocks over longer periods. The study investigates the relevance of sentiment analysis from platforms like Twitter and StockTwits in predicting market movements. It introduces an innovative active deep learning approach for stock price forecasting, considering data size and sector impact. Emphasizing LSTM-based models, it highlights their potential to enhance stock price forecasting, offering insights for traders and investors by consolidating diverse prediction methods. This research lays the groundwork for future studies optimizing trading systems via data integration and advanced neural network architectures.
Download or read book International Conference on IoT Intelligent Computing and Security written by Rajeev Agrawal and published by Springer Nature. This book was released on 2023-04-01 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises select peer-reviewed papers from the International Conference on IoT, Intelligent Computing and Security, IICS 2021. The contents focus on the latest research in artificial intelligence, IoT, intelligent computing, and leading technological convergence security challenges. The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.
Download or read book Applying Supervised Learning Algorithms and a New Feature Selection Method to Predict Coronary Artery Disease written by Haoyang Duan and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: From a fresh data science perspective, this thesis discusses the prediction of coronary artery disease based on Single-Nucleotide Polymorphisms (SNPs) from the Ontario Heart Genomics Study (OHGS). First, the thesis explains the k-Nearest Neighbour (k-NN) and Random Forest learning algorithms, and includes a complete proof that k-NN is universally consistent in finite dimensional normed vector spaces. Second, the thesis introduces two dimensionality reduction techniques: Random Projections and a new method termed Mass Transportation Distance (MTD) Feature Selection. Then, this thesis compares the performance of Random Projections with k-NN against MTD Feature Selection and Random Forest for predicting artery disease. Results demonstrate that MTD Feature Selection with Random Forest is superior to Random Projections and k-NN. Random Forest is able to obtain an accuracy of 0.6660 and an area under the ROC curve of 0.8562 on the OHGS dataset, when 3335 SNPs are selected by MTD Feature Selection for classification. This area is considerably better than the previous high score of 0.608 obtained by Davies et al. in 2010 on the same dataset.
Download or read book Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning written by Rani, Geeta and published by IGI Global. This book was released on 2020-10-16 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.
Download or read book ICCCE 2021 written by Amit Kumar and published by Springer Nature. This book was released on 2022-05-15 with total page 1229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of research articles presented at the 4th International Conference on Communications and Cyber-Physical Engineering (ICCCE 2021), held on April 9 and 10, 2021, at CMR Engineering College, Hyderabad, India. ICCCE is one of the most prestigious conferences conceptualized in the field of networking and communication technology offering in-depth information on the latest developments in voice, data, image, and multimedia. Discussing the latest developments in voice and data communication engineering, cyber-physical systems, network science, communication software, image, and multimedia processing research and applications, as well as communication technologies and other related technologies, it includes contributions from both academia and industry. This book is a valuable resource for scientists, research scholars, and PG students working to formulate their research ideas and find the future directions in these areas. Further, it may serve as a reference work to understand the latest engineering and technologies used by practicing engineers in the field of communication engineering.
Download or read book Intelligent Systems in Healthcare and Disease Identification using Data Science written by Gururaj H L and published by CRC Press. This book was released on 2023-10-10 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The health technology has become a hot topic in academic research. It employs the theory of social networks into the different levels of the prediction and analysis and has brought new possibilities for the development of technology. This book is a descriptive summary of challenges and methods using disease identification with various case studies from diverse authors across the globe. One of the new buzzwords in healthcare sector that has become popular over years is health informatics. Healthcare professionals must deal with an increasing number of computers and computer programs in their daily work. With rapid growth of digital data, the role of analytics in healthcare has created a significant impact on healthcare professional’s life. Improvements in storage data, computational power and paral- lelization has also contributed to uptake this technology. This book is intended for use by researchers, health informatics professionals, academicians and undergraduate and postgraduate students interested in knowing more about health informatics. It aims to provide a brief overview about informatics, its history and area of practice, laws in health informatics, challenges and technologies in health informatics, applica- tion of informatics in various sectors and so on. Finally, the research avenues in health informatics along with some case studies are discussed.
Download or read book Applications of Optimization and Machine Learning in Image Processing and IoT written by Nidhi Gupta and published by CRC Press. This book was released on 2023-12-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and machine learning in image processing and IoT. Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of machine learning, IoT and image processing. KEY FEATURES: • Includes fundamental concepts towards advanced applications in machine learning and IoT. • Discusses potential and challenges of machine learning for IoT and optimization • Reviews recent advancements in diverse researches on computer vision, networking and optimization field. • Presents latest technologies such as machine learning in image processing and IoT This book has been written for readers in academia, engineering, IT specialists, researchers, industrial professionals and students, and is a great reference for those just starting out in the field as well as those at an advanced level.
