Data Science in Healthcare
Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances...
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Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 electronic resource (212 p.) |
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Hulsen, Tim edt Data Science in Healthcare Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (212 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management. English Medicine bicssc Pharmacology bicssc data sharing data management data science big data healthcare depression psychological treatment task sharing primary care pilot study non-specialist health worker training digital technology mental health COVID-19 SARS-CoV-2 pneumonia computed tomography case fatality rate social distancing smoking metabolically healthy obese phenotype metabolic syndrome obesity coronavirus machine learning social media apache spark Arabic language distributed computing smart cities smart healthcare smart governance Triple Bottom Line (TBL) thoracic pain tree classification cross-validation hand-foot-and-mouth disease early-warning model neural network genetic algorithm sentinel surveillance system outbreak prediction artificial intelligence vascular access surveillance arteriovenous fistula end stage kidney disease dialysis kidney failure chronic kidney disease (CKD) end-stage kidney disease (ESKD) kidney replacement therapy (KRT) risk prediction naïve Bayes classifiers precision medicine machine learning models data exploratory techniques breast cancer diagnosis tumors classification 3-0365-3983-2 3-0365-3984-0 Hulsen, Tim oth |
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English |
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Hulsen, Tim |
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Hulsen, Tim |
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Data Science in Healthcare |
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Data Science in Healthcare |
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Data Science in Healthcare |
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Data Science in Healthcare |
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Data Science in Healthcare |
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Data Science in Healthcare |
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Data Science in Healthcare |
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data science in healthcare |
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MDPI - Multidisciplinary Digital Publishing Institute |
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2022 |
physical |
1 electronic resource (212 p.) |
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3-0365-3983-2 3-0365-3984-0 |
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AT hulsentim datascienceinhealthcare |
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(CKB)5720000000008323 (oapen)https://directory.doabooks.org/handle/20.500.12854/84486 (EXLCZ)995720000000008323 |
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