04196nam 2201069z- 450 991057688510332120231214133036.0(CKB)5720000000008323(oapen)https://directory.doabooks.org/handle/20.500.12854/84486(EXLCZ)99572000000000832320202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierData Science in HealthcareBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (212 p.)3-0365-3983-2 3-0365-3984-0 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.MedicinebicsscPharmacologybicsscdata sharingdata managementdata sciencebig datahealthcaredepressionpsychological treatmenttask sharingprimary carepilot studynon-specialist health workertrainingdigital technologymental healthCOVID-19SARS-CoV-2pneumoniacomputed tomographycase fatality ratesocial distancingsmokingmetabolically healthy obese phenotypemetabolic syndromeobesitycoronavirusmachine learningsocial mediaapache sparkTwitterArabic languagedistributed computingsmart citiessmart healthcaresmart governanceTriple Bottom Line (TBL)thoracic paintree classificationcross-validationhand-foot-and-mouth diseaseearly-warning modelneural networkgenetic algorithmsentinel surveillance systemoutbreak predictionartificial intelligencevascular access surveillancearteriovenous fistulaend stage kidney diseasedialysiskidney failurechronic kidney disease (CKD)end-stage kidney disease (ESKD)kidney replacement therapy (KRT)risk predictionnaïve Bayes classifiersprecision medicinemachine learning modelsdata exploratory techniquesbreast cancer diagnosistumors classificationMedicinePharmacologyHulsen Timedt1302275Hulsen TimothBOOK9910576885103321Data Science in Healthcare3026328UNINA