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 Healthcare3026328UNINA03471oam 22004334a 450 991079397120332120191121114110.00-8143-4152-7(CKB)4100000009751503(MiAaPQ)EBC5968076(OCoLC)1126213061(MdBmJHUP)muse74666(EXLCZ)99410000000975150320190528d2019 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierTremeJaimey FisherDetroit :Wayne State University Press,[2019]Baltimore, Md. :Project MUSE, 2019©[2019]1 online resource (x, 142 pages) illustrationsTv milestones series0-8143-4151-9 Includes bibliographical references (pages 121-128) and index."In Treme, Jaimey Fisher analyzes how the HBO television series Treme (2010-13) treads new ground by engaging with historical events and their traumatic aftermaths, in particular with Hurricane Katrina in 2005 and subsequent flooding in New Orleans. Instead of building up to a devastating occurrence, David Simon's much anticipated follow-up to The Wire (2002-08) unfolds with characters coping in the wake of catastrophe, in a mode that Fisher explores as "afterness." Treme charts these changes while also memorializing the number of New Orleans cultures that were immediately endangered. David Simon's and Eric Overmyer's Treme attempts something unprecedented for a multi-season series. Although the show follows, in some ways, in the celebrated footsteps of The Wire-for example, in its elegiac tracking of the historical struggles of an American city-Fisher investigates how Treme varies from The Wire's work with genre and what replaces it: The Wire is a careful, even baroque variation on the police drama, while Treme dispenses with genre altogether. This poses considerable challenges for popular television, which Simon and Overmyer address in several ways, including by offering a carefully montaged map of New Orleans and foregrounding the distance witnessing of watershed events there. Another way in which Treme sets itself apart is its memorialization of the city's inestimable contributions to American music, especially to jazz, soul, rhythm and blues, rap, rock, and funk. Treme gives such music and its many makers unprecedented attention, both in terms of screen time for music and narrative exposition around musicians. A key element of the volume is its look at the show's themes of race, crime, and civil rights as well as the corporate versus community recovery and remaking of the city. Treme's synthesizing melange of the arts in their specific geographical context, coupled with political and socio-economic analysis of the city, highlights the show's unique approach. Fans of the works of Simon and Overmyer, as well as television studies students and scholars, will enjoy this keen-eyed approach to a beloved show"--Provided by publisher.Contemporary approaches to film and television series.TV milestones.New Orleans (La.)On televisionElectronic books. 791.45/72Fisher Jaimey1534817MdBmJHUPMdBmJHUPBOOK9910793971203321Treme3865658UNINA