Matches in SemOpenAlex for { <https://semopenalex.org/work/W3200726711> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W3200726711 endingPage "285" @default.
- W3200726711 startingPage "273" @default.
- W3200726711 abstract "Information technology is advancing day by day and it is used in almost every domain to transform it into a digital form. Big data management is a recent advancement to facilitate the management of a massive volume of structured, semi-structured, and unstructured data. The healthcare sectors are also producing a large volume of clinical data (e.g., medical reports, patient history files, and prescriptions) daily. This massive repository of data can be used to develop a predictive model to assist the healthcare experts to diagnose the diseases and suggest the proper medication to the patients. Though there are some serious concerns—legal and ethical—related to access healthcare data. This chapter focuses on providing a solution to find the hidden patterns from the clinical data by using state-of-art methods such as big data analytics, machine learning, and deep learning. The chapter will also discuss the various constraints for adopting predictive analytics in healthcare sectors." @default.
- W3200726711 created "2021-09-27" @default.
- W3200726711 creator A5013177045 @default.
- W3200726711 creator A5015577615 @default.
- W3200726711 creator A5016135074 @default.
- W3200726711 creator A5019167254 @default.
- W3200726711 creator A5039543580 @default.
- W3200726711 creator A5088241244 @default.
- W3200726711 date "2021-09-12" @default.
- W3200726711 modified "2023-10-12" @default.
- W3200726711 title "Healthcare Transformation With Clinical Big Data Predictive Analytics" @default.
- W3200726711 cites W2005991660 @default.
- W3200726711 cites W2053381312 @default.
- W3200726711 cites W2480180468 @default.
- W3200726711 cites W2526956184 @default.
- W3200726711 cites W2534904844 @default.
- W3200726711 cites W2552697641 @default.
- W3200726711 cites W2571067114 @default.
- W3200726711 cites W2883798712 @default.
- W3200726711 cites W2895259418 @default.
- W3200726711 cites W2902123208 @default.
- W3200726711 cites W2904030287 @default.
- W3200726711 cites W2906246062 @default.
- W3200726711 cites W2998328717 @default.
- W3200726711 cites W3003854488 @default.
- W3200726711 cites W3014031346 @default.
- W3200726711 cites W3034560014 @default.
- W3200726711 cites W3036638694 @default.
- W3200726711 cites W3038780514 @default.
- W3200726711 cites W3044806259 @default.
- W3200726711 doi "https://doi.org/10.1002/9781119761655.ch15" @default.
- W3200726711 hasPublicationYear "2021" @default.
- W3200726711 type Work @default.
- W3200726711 sameAs 3200726711 @default.
- W3200726711 citedByCount "0" @default.
- W3200726711 crossrefType "other" @default.
- W3200726711 hasAuthorship W3200726711A5013177045 @default.
- W3200726711 hasAuthorship W3200726711A5015577615 @default.
- W3200726711 hasAuthorship W3200726711A5016135074 @default.
- W3200726711 hasAuthorship W3200726711A5019167254 @default.
- W3200726711 hasAuthorship W3200726711A5039543580 @default.
- W3200726711 hasAuthorship W3200726711A5088241244 @default.
- W3200726711 hasConcept C121332964 @default.
- W3200726711 hasConcept C124101348 @default.
- W3200726711 hasConcept C134306372 @default.
- W3200726711 hasConcept C160735492 @default.
- W3200726711 hasConcept C162324750 @default.
- W3200726711 hasConcept C175801342 @default.
- W3200726711 hasConcept C20556612 @default.
- W3200726711 hasConcept C2522767166 @default.
- W3200726711 hasConcept C33923547 @default.
- W3200726711 hasConcept C36503486 @default.
- W3200726711 hasConcept C41008148 @default.
- W3200726711 hasConcept C50522688 @default.
- W3200726711 hasConcept C62520636 @default.
- W3200726711 hasConcept C75684735 @default.
- W3200726711 hasConcept C79158427 @default.
- W3200726711 hasConcept C83209312 @default.
- W3200726711 hasConceptScore W3200726711C121332964 @default.
- W3200726711 hasConceptScore W3200726711C124101348 @default.
- W3200726711 hasConceptScore W3200726711C134306372 @default.
- W3200726711 hasConceptScore W3200726711C160735492 @default.
- W3200726711 hasConceptScore W3200726711C162324750 @default.
- W3200726711 hasConceptScore W3200726711C175801342 @default.
- W3200726711 hasConceptScore W3200726711C20556612 @default.
- W3200726711 hasConceptScore W3200726711C2522767166 @default.
- W3200726711 hasConceptScore W3200726711C33923547 @default.
- W3200726711 hasConceptScore W3200726711C36503486 @default.
- W3200726711 hasConceptScore W3200726711C41008148 @default.
- W3200726711 hasConceptScore W3200726711C50522688 @default.
- W3200726711 hasConceptScore W3200726711C62520636 @default.
- W3200726711 hasConceptScore W3200726711C75684735 @default.
- W3200726711 hasConceptScore W3200726711C79158427 @default.
- W3200726711 hasConceptScore W3200726711C83209312 @default.
- W3200726711 hasLocation W32007267111 @default.
- W3200726711 hasOpenAccess W3200726711 @default.
- W3200726711 hasPrimaryLocation W32007267111 @default.
- W3200726711 hasRelatedWork W2052370551 @default.
- W3200726711 hasRelatedWork W2206805568 @default.
- W3200726711 hasRelatedWork W2515921780 @default.
- W3200726711 hasRelatedWork W2570647323 @default.
- W3200726711 hasRelatedWork W2805665112 @default.
- W3200726711 hasRelatedWork W2863268765 @default.
- W3200726711 hasRelatedWork W3027285423 @default.
- W3200726711 hasRelatedWork W3098255652 @default.
- W3200726711 hasRelatedWork W4238120086 @default.
- W3200726711 hasRelatedWork W4245701730 @default.
- W3200726711 isParatext "false" @default.
- W3200726711 isRetracted "false" @default.
- W3200726711 magId "3200726711" @default.
- W3200726711 workType "other" @default.