Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
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| Title: | Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning |
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| Description: | 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. |
| Authors: | Geeta Rani, Pradeep Kumar Tiwari |
| Resource Type: | eBook. |
| Subjects: | Machine learning, Medical informatics, Medicine--Data processing, Medicine--Research--Statistical methods, Diagnosis--Data processing |
| Categories: | MEDICAL / Diseases, COMPUTERS / Machine Theory, COMPUTERS / Data Science / Data Visualization |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | 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. |
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| ISBN: | 9781799827429 9781799827436 9781799827443 |
