Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease
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| Title: | Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease |
|---|---|
| Description: | Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students. |
| Authors: | Manikant Roy, Lovi Raj Gupta |
| Resource Type: | eBook. |
| Subjects: | Epidemics--Mathematical models, Epidemiology--Data processing, Artificial intelligence--Medical applications, Machine learning |
| Categories: | COMPUTERS / Database Administration & Management, MEDICAL / Diagnosis, MEDICAL / Informatics |
| 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: Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease – Name: Abstract Label: Description Group: Ab Data: Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Manikant+Roy%22">Manikant Roy</searchLink><br /><searchLink fieldCode="AR" term="%22Lovi+Raj+Gupta%22">Lovi Raj Gupta</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Epidemics--Mathematical+models%22">Epidemics--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology--Data+processing%22">Epidemiology--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Database+Administration+%26+Management%22">COMPUTERS / Database Administration & Management</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Diagnosis%22">MEDICAL / Diagnosis</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Informatics%22">MEDICAL / Informatics</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 614.40285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Epidemics--Mathematical models Type: general – SubjectFull: Epidemiology--Data processing Type: general – SubjectFull: Artificial intelligence--Medical applications Type: general – SubjectFull: Machine learning Type: general Titles: – TitleFull: Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Manikant Roy – PersonEntity: Name: NameFull: Lovi Raj Gupta – PersonEntity: Name: NameFull: Manikant Roy – PersonEntity: Name: NameFull: Lovi Raj Gupta IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 14 M: 08 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9781799871880 – Type: isbn-electronic Value: 9781799871903 – Type: isbn-electronic Value: 9781799871910 Titles: – TitleFull: Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease Type: main |
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