A Review on Logistic Regression in Medical Research

dc.contributor.authorPanda, NR.en_US
dc.date.accessioned2023-06-27T06:30:25Z
dc.date.available2023-06-27T06:30:25Z
dc.date.issued2022-04
dc.description.abstractIn today抯 scenarios many healthcare decisions are being taken by predictive modeling and machine learning techniques. With this review, we focused on logistic regression model, a kind of predictive modeling used in machine learning, and how healthcare researchers take decisions by the help of predictive modeling. For a better data analysis in healthcare, we need to understand the concept of logistic regression as well as others terms, which are linked with it. so that we can clearly understand the concept behind it and implement in medical research. In this review we worked on an example and illustrated how to perform logistic regression using R programming language. The aim of this paper is to understand logistic regression in healthcare and implement it for decision making.en_US
dc.identifier.affiliationsIMS & SUM Hospital, SOA deemed to be University, Bhubaneswar, Odishaen_US
dc.identifier.affiliationsCV Raman global university, Bhubaneswaren_US
dc.identifier.affiliationsIMS & SUM Hospital, SOA deemed to be University, Bhubaneswar, Odishaen_US
dc.identifier.affiliationsIMS & SUM Hospital, SOA deemed to be University, Bhubaneswar, Odishaen_US
dc.identifier.citationPanda NR.. A Review on Logistic Regression in Medical Research . National Journal of Community Medicine. 2022 Apr; 13(4): 265-270en_US
dc.identifier.issn2229-6816
dc.identifier.issn0976-3325
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/217257
dc.languageenen_US
dc.publisherMedsci Publicationsen_US
dc.relation.issuenumber4en_US
dc.relation.volume13en_US
dc.source.urihttps://doi.org/10.55489/njcm.134202222en_US
dc.subjectLogistic regressionen_US
dc.subjectOdds ratioen_US
dc.subjectR programmingen_US
dc.titleA Review on Logistic Regression in Medical Researchen_US
dc.typeJournal Articleen_US
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