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 |
|---|---|
| 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) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Geeta+Rani%22">Geeta Rani</searchLink><br /><searchLink fieldCode="AR" term="%22Pradeep+Kumar+Tiwari%22">Pradeep Kumar Tiwari</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+informatics%22">Medical informatics</searchLink><br /><searchLink fieldCode="DE" term="%22Medicine--Data+processing%22">Medicine--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Medicine--Research--Statistical+methods%22">Medicine--Research--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis--Data+processing%22">Diagnosis--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Diseases%22">MEDICAL / Diseases</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Machine+Theory%22">COMPUTERS / Machine Theory</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Data+Visualization%22">COMPUTERS / Data Science / Data Visualization</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 616.00727 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Machine learning Type: general – SubjectFull: Medical informatics Type: general – SubjectFull: Medicine--Data processing Type: general – SubjectFull: Medicine--Research--Statistical methods Type: general – SubjectFull: Diagnosis--Data processing Type: general Titles: – TitleFull: Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Geeta Rani – PersonEntity: Name: NameFull: Pradeep Kumar Tiwari – PersonEntity: Name: NameFull: Geeta Rani – PersonEntity: Name: NameFull: Pradeep Kumar Tiwari IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 01 M: 10 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781799827429 – Type: isbn-electronic Value: 9781799827436 – Type: isbn-electronic Value: 9781799827443 Titles: – TitleFull: Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning Type: main |
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