412191fe592caeea64675b6005ddafee s11096-025-01955-7.pdf f049c4f3d8a874c26b32fe0761d130eeb4acdf56 s11096-025-01955-7.pdf b672a358cce2ad258ccd12cce4fe36244d600dc7fd4d382f67b1666fb019135a s11096-025-01955-7.pdf Title: A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes Subject: International Journal of Clinical Pharmacy, https://doi.org/10.1007/s11096-025-01955-7 Keywords: ACE inhibitors; ARBs; COVID-19; HMG-CoA reductase; Machine learning; Metformin; Mortality; Polypharmacy; Prediction models Author: Berta Miró Creator: Springer Producer: Acrobat Distiller 10.1.8 (Windows) CreationDate: Mon Jul 28 08:33:28 2025 CEST ModDate: Thu Jul 31 12:34:54 2025 CEST Custom Metadata: yes Metadata Stream: yes Tagged: no UserProperties: no Suspects: no Form: AcroForm JavaScript: no Pages: 12 Encrypted: no Page size: 595.276 x 790.866 pts Page rot: 0 File size: 1252309 bytes Optimized: yes PDF version: 1.4 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- MyriadPro-SemiCn Type 1C WinAnsi yes no yes 645 0 MyriadPro-Semibold Type 1C Custom yes no yes 641 0 MyriadPro-SemiboldSemiCn Type 1C Custom yes no yes 650 0 MyriadPro-Bold Type 1C WinAnsi yes no yes 656 0 PZFZBO+STIX-Regular Type 1C Custom yes yes yes 655 0 EAIPNW+Wingdings-Regular Type 1C WinAnsi yes yes yes 663 0 MyriadPro-BoldSemiCn Type 1C Custom yes no yes 284 0 ORKBRX+STIX-Bold Type 1C WinAnsi yes yes yes 361 0 CWESWO+STIX-Regular-SC700 Type 1C WinAnsi yes yes yes 586 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-09-10 03:08:30 CEST RepresentationInformation: s11096-025-01955-7.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2025-09-09 12:53:27 CEST Size: 1252309 Format: PDF Version: 1.4 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF PDFMetadata: Objects: 753 FreeObjects: 1 IncrementalUpdates: 1 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: false NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: en-US Outlines: Item: Title: A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes Children: Item: Title: Abstract Children: Item: Title: Background Item: Title: Aim Item: Title: Method Item: Title: Results Item: Title: Conclusion Item: Title: Impact statements Item: Title: Introduction Children: Item: Title: Aim Item: Title: Ethics approval Item: Title: Method Children: Item: Title: Study population, registry features, and data acquisition Item: Title: Data processing Item: Title: Statistical analyses Item: Title: Results Children: Item: Title: Characteristics of the cohort Item: Title: Machine learning model performance and interpretability Item: Title: Variable importance Item: Title: Sensitivity analysis Item: Title: Discussion Children: Item: Title: Statement of key findings Item: Title: Interpretation Item: Title: Strengths and weaknesses Item: Title: Future research Item: Title: Conclusion Item: Title: References Info: Title: A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes Author: Berta Miró Subject: International Journal of Clinical Pharmacy, https://doi.org/10.1007/s11096-025-01955-7 Keywords: ACE inhibitors; ARBs; COVID-19; HMG-CoA reductase; Machine learning; Metformin; Mortality; Polypharmacy; Prediction models Creator: Springer Producer: Acrobat Distiller 10.1.8 (Windows) CreationDate: Mon Jul 28 09:03:28 CEST 2025 ModDate: Thu Jul 31 13:04:54 CEST 2025 ID: 0x45ca2f130709f043bf246f9fb9785062, 0xc2dc09b1a0dd954793d344991e7fa297 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 969 ImageHeight: 1316 ColorSpace: black is zero BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1772 ImageHeight: 1792 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1772 ImageHeight: 1781 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1418 ImageHeight: 2159 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1418 ImageHeight: 2194 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1418 ImageHeight: 2116 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Fonts: Type1: Font: BaseFont: MyriadPro-Bold FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-Bold Flags: Nonsymbolic FontBBox: -163, -250, 1256, 989 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: MyriadPro-Semibold FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-Semibold Flags: Nonsymbolic FontBBox: -161, -250, 1198, 972 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: MyriadPro-SemiCn FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-SemiCn Flags: Nonsymbolic FontBBox: -128, -250, 1059, 876 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: EAIPNW+Wingdings-Regular FontSubset: true FirstChar: 0 LastChar: 255 FontDescriptor: FontName: EAIPNW+Wingdings-Regular Flags: Nonsymbolic FontBBox: 0, -103, 1359, 439 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: ORKBRX+STIX-Bold FontSubset: true FirstChar: 0 LastChar: 255 FontDescriptor: FontName: ORKBRX+STIX-Bold Flags: Serif, Nonsymbolic FontBBox: -998, -552, 2000, 1055 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: MyriadPro-SemiboldSemiCn FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-SemiboldSemiCn Flags: Nonsymbolic FontBBox: -131, -250, 1115, 886 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: CWESWO+STIX-Regular-SC700 FontSubset: true FirstChar: 32 LastChar: 86 FontDescriptor: FontName: CWESWO+STIX-Regular-SC700 Flags: Serif, Nonsymbolic FontBBox: -970, -486, 2208, 1023 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: MyriadPro-BoldSemiCn FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-BoldSemiCn Flags: Nonsymbolic FontBBox: -133, -250, 1161, 894 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: PZFZBO+STIX-Regular FontSubset: true FirstChar: 27 LastChar: 252 FontDescriptor: FontName: PZFZBO+STIX-Regular Flags: Serif, Nonsymbolic FontBBox: -970, -486, 2208, 1023 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true XMP: 2025-07-28T12:03:28+05:30 Springer 2025-07-31T16:04:54+05:30 2025-07-31T16:04:54+05:30 Acrobat Distiller 10.1.8 (Windows) ACE inhibitors; 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