2859aebf6f6a3201be0ea3f9b6f64984 Jorbiosci_a2025_m2_v32_a14.pdf 02d2998ae122855b83463ffe7c513ee33d3559df Jorbiosci_a2025_m2_v32_a14.pdf f0ffbc02285648b792d7c40d8284b884c66ad5d1fe1c06302a9e6c3b9a712f7d Jorbiosci_a2025_m2_v32_a14.pdf Title: The Data Artifacts Glossary: a community-based repository for bias on health datasets Subject: Journal of Biomedical Science, https://doi.org/10.1186/s12929-024-01106-6 Keywords: Bias; Health equity; Dataset; Data Artifacts Glossary; Artificial intelligence; Machine learning Author: Rodrigo R. Gameiro Creator: Springer Producer: Acrobat Distiller 10.1.8 (Windows); modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) CreationDate: Thu Nov 28 08:04:35 2024 CET ModDate: Mon Dec 30 04:42:28 2024 CET Custom Metadata: yes Metadata Stream: yes Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 9 Encrypted: no Page size: 595.276 x 790.866 pts Page rot: 0 File size: 2547039 bytes Optimized: no PDF version: 1.4 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- MyriadPro-Regular Type 1C Custom yes no yes 61 0 MyriadPro-Bold Type 1C WinAnsi yes no yes 62 0 MyriadPro-It Type 1C Custom yes no yes 63 0 MyriadPro-Semibold Type 1C Custom yes no yes 101 0 MyriadPro-Light Type 1C Custom yes no yes 83 0 WarnockPro-Regular Type 1C Custom yes no yes 64 0 WarnockPro-It Type 1C WinAnsi yes no yes 73 0 MyriadPro-Regular2 Type 1C WinAnsi yes no yes 304 0 MyriadPro-LightIt Type 1C WinAnsi yes no yes 82 0 SXNGAO+STIX-Regular Type 1C WinAnsi yes yes yes 121 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2025-10-23 03:09:31 CEST RepresentationInformation: Jorbiosci_a2025_m2_v32_a14.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2025-10-22 16:41:00 CEST Size: 2547039 Format: PDF Version: 1.4 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 482 FreeObjects: 1 IncrementalUpdates: 0 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 Outlines: Item: Title: The Data Artifacts Glossary: a community-based repository for bias on health datasets Children: Item: Title: Abstract Children: Item: Title: Background Item: Title: Objective Item: Title: Methods Item: Title: Results Item: Title: Conclusion Item: Title: Introduction Item: Title: Methods Item: Title: Results Children: Item: Title: Suggested first version for MIMIC-IV Item: Title: Participants not missing at random Item: Title: Validity of data points Item: Title: Data not missing at random Item: Title: Miscellaneous biases Item: Title: Discussion Children: Item: Title: Limitations Item: Title: Conclusion Item: Title: Acknowledgements Item: Title: References Info: Title: The Data Artifacts Glossary: a community-based repository for bias on health datasets Author: Rodrigo R. Gameiro Subject: Journal of Biomedical Science, https://doi.org/10.1186/s12929-024-01106-6 Keywords: Bias; Health equity; Dataset; Data Artifacts Glossary; Artificial intelligence; Machine learning Creator: Springer Producer: Acrobat Distiller 10.1.8 (Windows); modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) CreationDate: Thu Nov 28 08:34:35 CET 2024 ModDate: Mon Dec 30 04:42:28 CET 2024 ID: 0x3c0b6e0dba4614066989c420498237cd, 0x10a2d34a339ba19eae1640e3e9ed133a Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/png ImageWidth: 115 ImageHeight: 119 BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Decode: 0, 255 Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 1120 ImageHeight: 110 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1772 ImageHeight: 1334 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 1961 ImageHeight: 1207 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1961 ImageHeight: 1193 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/jpg CompressionScheme: JPEG ImageWidth: 1961 ImageHeight: 1096 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Intent: RelativeColorimetric Name: X Image: NisoImageMetadata: FormatName: image/png ImageWidth: 1100 ImageHeight: 90 ColorSpace: black is zero BitsPerSample: 1 BitsPerSampleUnit: integer Filter: FlateDecode Intent: RelativeColorimetric Name: X Fonts: Type1: Font: BaseFont: WarnockPro-Regular FirstChar: 0 LastChar: 255 FontDescriptor: FontName: WarnockPro-Regular Flags: Serif, Nonsymbolic FontBBox: -177, -533, 1474, 950 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true Font: BaseFont: MyriadPro-LightIt FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-LightIt Flags: Nonsymbolic, Italic FontBBox: -121, -250, 1007, 863 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: MyriadPro-Light FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-Light Flags: Nonsymbolic FontBBox: -49, -250, 1046, 883 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true 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: WarnockPro-It FirstChar: 0 LastChar: 255 FontDescriptor: FontName: WarnockPro-It Flags: Serif, Nonsymbolic, Italic FontBBox: -221, -533, 1474, 950 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: SXNGAO+STIX-Regular FontSubset: true FirstChar: 32 LastChar: 43 FontDescriptor: FontName: SXNGAO+STIX-Regular Flags: Serif, Nonsymbolic FontBBox: -970, -486, 2208, 1023 FontFile3: true Encoding: WinAnsiEncoding ToUnicode: true Font: BaseFont: MyriadPro-Regular FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-Regular Flags: Nonsymbolic FontBBox: -157, -250, 1126, 952 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true 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-It FirstChar: 0 LastChar: 255 FontDescriptor: FontName: MyriadPro-It Flags: Nonsymbolic, Italic FontBBox: -185, -250, 1090, 953 FontFile3: true EncodingDictionary: BaseEncoding: WinAnsiEncoding Differences: true ToUnicode: true XMP: 2024-11-28T12:34:35+05:30 Springer 2024-12-30T04:42:28+01:00 2024-12-30T04:42:28+01:00 Acrobat Distiller 10.1.8 (Windows); modified using iText® 5.3.5 ©2000-2012 1T3XT BVBA (SPRINGER SBM; licensed version) Bias; Health equity; Dataset; Data Artifacts Glossary; Artificial intelligence; Machine learning False application/pdf https://doi.org/10.1186/s12929-024-01106-6 BioMed Central Journal of Biomedical Science, https://doi.org/10.1186/s12929-024-01106-6 Bias Health equity Dataset Data Artifacts Glossary Artificial intelligence Machine learning The Data Artifacts Glossary: a community-based repository for bias on health datasets Rodrigo R. Gameiro Naira Link Woite Christopher M. Sauer Sicheng Hao Chrystinne Oliveira Fernandes Anna E. 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