Response to "Integrating predictive analytics and digital health innovations to reduce postoperative emergency department admissions in bariatric surgery"

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dc.contributor.authorToprak, Şükrü Salih
dc.contributor.authorToprak, Hatice
dc.date.accessioned2025-03-20T07:44:58Z
dc.date.available2025-03-20T07:44:58Z
dc.date.issued2025
dc.departmentKMÜ, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümü
dc.description.abstractWe thank Qiuwen Mi et al. for their valuable comments and suggestions. They suggested that it may be useful to perform individual risk analyses with artificial intelligence tools in the preoperative period for emergency department (ED) visits after metabolic and bariatric surgery (MBS) [1]. Their other suggestion was for the use of individual techno-follow-up tools in the postoperative period.
dc.identifier.citationToprak, Ş.S., Toprak, H. (2025). Response to "Integrating predictive analytics and digital health innovations to reduce postoperative emergency department admissions in bariatric surgery”. Obesity Surgery. https://doi.org/10.1007/s11695-025-07790-z
dc.identifier.doi10.1007/s11695-025-07790-z
dc.identifier.issn0960-8923
dc.identifier.issn1708-0428
dc.identifier.pmid40069370
dc.identifier.urihttps://doi.org/10.1007/s11695-025-07790-z
dc.identifier.urihttps://hdl.handle.net/11492/10686
dc.identifier.wosWOS:001441607000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubmed
dc.institutionauthorToprak, Şükrü Salih
dc.institutionauthorToprak, Hatice
dc.institutionauthoridToprak, Şükrü Salih/0000-0002-9695-1841
dc.institutionauthoridToprak, Hatice/0000-0001-6890-3474
dc.publisherSpringer
dc.relation.ispartofObesity Surgery
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleResponse to "Integrating predictive analytics and digital health innovations to reduce postoperative emergency department admissions in bariatric surgery"
dc.typeLetter

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