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dc.contributor.authorGencer, Kerem
dc.date.accessioned2025-12-28T16:40:36Z
dc.date.available2025-12-28T16:40:36Z
dc.date.issued2023
dc.identifier.issn1178-203X
dc.identifier.urihttps://doi.org/10.2147/TCRM.S444519
dc.identifier.urihttps://hdl.handle.net/20.500.12933/2641
dc.description.abstractPurpose: This study aimed to rank the features that are important in terms of safety and effectiveness in choosing the surgical method and providing appropriate care to the patient by using the variables examined before and after the surgery to evaluate the success of mini percutaneous nephrolithotomy and standard percutaneous nephrolithotomy surgeries.Patients and Methods: The features evaluated before and after surgery were ranked according to their importance in the features considered, using Multivariate Adaptive Regression Splines (MARS), LASSO, Ridge, Elastic_net, and Random Forest algorithms as variable selection techniques. There are 278 samples in the relevant data set. Results: Type of surgery (100%), intercostal access (97.75%), kidney opening procedure (94.25%), postoperative creatinine (59.22%), hydronephrosis (52.23%), the number of entries (41.61%), and pre- and post-operative hemoglobin difference (45.13%) were determined as the most critical variables. The MARS algorithm showed the most successful performance, with the lowest mean absolute error (MAE) value of 0.3622, the lowest root mean square error (RMSE) value of 0.3960, and the highest R2 value of 0.3405.Conclusion: Clinical decision support systems can be helpful in eliminating errors and reducing costs. It can also improve the quality of healthcare and aid in the early diagnosis of diseases. Computer-aided decision-making systems can be developed using the results of such products. These systems can provide doctors with better information about their patient's treatment options and improve decisionmaking. It can contribute to patients being better informed about the surgery results and taking an active role. In conclusion, this study provides essential information that should be included in the surgical decision-making process for patients using medications and with a history of percutaneous nephrolithotomy.
dc.language.isoen
dc.publisherDove Medical Press Ltd
dc.relation.ispartofTherapeutics And Clinical Risk Management
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectdigital decision in healthcare
dc.subjectpercutaneous nephrolithotomy
dc.subjectsurgery success
dc.subjectmachine learning
dc.subjectMARS
dc.titleMini Percutaneous Nephrolithotomy vs Standard Percutaneous Nephrolithotomy: A Perioperative Decision Support System for Surgical Success Comparison
dc.typeArticle
dc.identifier.orcid0000-0002-2914-1056
dc.departmentAfyonkarahisar Sağlık Bilimleri Üniversitesi
dc.identifier.doi10.2147/TCRM.S444519
dc.identifier.volume19
dc.identifier.startpage1075
dc.identifier.endpage1086
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.department-temp[Gencer, Kerem] Afyonkarahisar Hlth Sci Univ, Applicat & Res Ctr, Dept Distance Educ, Afyonkarahisar, Turkiye
dc.identifier.pmid38170095
dc.identifier.scopus2-s2.0-85181518504
dc.identifier.scopusqualityQ1
dc.identifier.wosWOS:001136661200001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.snmzKA_WoS_20251227


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