{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16(1)"],"submitter":["Ghosh A"],"funding":["NCATS NIH HHS","NIDA NIH HHS","National Institute on Drug Abuse"],"journal":["Scientific reports"],"pagination":["1849"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12804805"],"repository":["biostudies-literature"],"pubmed_title":["Leveraging automated machine learning to benchmark, deconstruct, and compare frailty indices for predicting adverse spinal surgery outcomes."],"pmcid":["PMC12804805"],"funding_grant_id":["K01DA063751","UL1 TR001881","K01 DA063751"],"pubmed_authors":["Ghosh A","Shahrestani S","Moore JH","Walker CT","Orlenko A","Freda PJ","Scheer JK","Obafemi-Ajayi T"],"additional_accession":[]},"is_claimable":false,"name":"Leveraging automated machine learning to benchmark, deconstruct, and compare frailty indices for predicting adverse spinal surgery outcomes.","description":null,"dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-10T05:24:15.915Z","creation":"2026-06-10T03:07:36.756Z"},"accession":"S-EPMC12804805","cross_references":{"pubmed":["41513871"],"doi":["10.1038/s41598-025-31453-9"]}}