TY - BOOK ID - 146209444 TI - Data Science in Healthcare PY - 2022 PB - Basel MDPI - Multidisciplinary Digital Publishing Institute DB - UniCat KW - Medicine KW - Pharmacology KW - data sharing KW - data management KW - data science KW - big data KW - healthcare KW - depression KW - psychological treatment KW - task sharing KW - primary care KW - pilot study KW - non-specialist health worker KW - training KW - digital technology KW - mental health KW - COVID-19 KW - SARS-CoV-2 KW - pneumonia KW - computed tomography KW - case fatality rate KW - social distancing KW - smoking KW - metabolically healthy obese phenotype KW - metabolic syndrome KW - obesity KW - coronavirus KW - machine learning KW - social media KW - apache spark KW - Twitter KW - Arabic language KW - distributed computing KW - smart cities KW - smart healthcare KW - smart governance KW - Triple Bottom Line (TBL) KW - thoracic pain KW - tree classification KW - cross-validation KW - hand-foot-and-mouth disease KW - early-warning model KW - neural network KW - genetic algorithm KW - sentinel surveillance system KW - outbreak prediction KW - artificial intelligence KW - vascular access surveillance KW - arteriovenous fistula KW - end stage kidney disease KW - dialysis KW - kidney failure KW - chronic kidney disease (CKD) KW - end-stage kidney disease (ESKD) KW - kidney replacement therapy (KRT) KW - risk prediction KW - naïve Bayes classifiers KW - precision medicine KW - machine learning models KW - data exploratory techniques KW - breast cancer diagnosis KW - tumors classification KW - data sharing KW - data management KW - data science KW - big data KW - healthcare KW - depression KW - psychological treatment KW - task sharing KW - primary care KW - pilot study KW - non-specialist health worker KW - training KW - digital technology KW - mental health KW - COVID-19 KW - SARS-CoV-2 KW - pneumonia KW - computed tomography KW - case fatality rate KW - social distancing KW - smoking KW - metabolically healthy obese phenotype KW - metabolic syndrome KW - obesity KW - coronavirus KW - machine learning KW - social media KW - apache spark KW - Twitter KW - Arabic language KW - distributed computing KW - smart cities KW - smart healthcare KW - smart governance KW - Triple Bottom Line (TBL) KW - thoracic pain KW - tree classification KW - cross-validation KW - hand-foot-and-mouth disease KW - early-warning model KW - neural network KW - genetic algorithm KW - sentinel surveillance system KW - outbreak prediction KW - artificial intelligence KW - vascular access surveillance KW - arteriovenous fistula KW - end stage kidney disease KW - dialysis KW - kidney failure KW - chronic kidney disease (CKD) KW - end-stage kidney disease (ESKD) KW - kidney replacement therapy (KRT) KW - risk prediction KW - naïve Bayes classifiers KW - precision medicine KW - machine learning models KW - data exploratory techniques KW - breast cancer diagnosis KW - tumors classification UR - https://www.unicat.be/uniCat?func=search&query=sysid:146209444 AB - 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. ER -