View in EDS HTML Full Text PDF Full Text

From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units.

Saved in:
Bibliographic Details
Title: From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units.
Authors: Epah, Jeremy1 (AUTHOR) jeremy@epah.de, Gülec, Ilay1 (AUTHOR), Winter, Stefan2 (AUTHOR), Dörr, Johanna1 (AUTHOR), Geisen, Christof1 (AUTHOR), Haecker, Eva1 (AUTHOR), Link, Dietmar1 (AUTHOR), Schwab, Matthias2,3,4 (AUTHOR), Seifried, Erhard1 (AUTHOR), Schäfer, Richard1,5,6 (AUTHOR) richard.schaefer.md@gmail.com
Source: Advanced Science. 12/28/2022, Vol. 9 Issue 36, p1-16. 16p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 161063154
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Epah%2C+Jeremy%22">Epah, Jeremy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jeremy@epah.de</i><br /><searchLink fieldCode="AR" term="%22Gülec%2C+Ilay%22">Gülec, Ilay</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Winter%2C+Stefan%22">Winter, Stefan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dörr%2C+Johanna%22">Dörr, Johanna</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Geisen%2C+Christof%22">Geisen, Christof</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Haecker%2C+Eva%22">Haecker, Eva</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Link%2C+Dietmar%22">Link, Dietmar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schwab%2C+Matthias%22">Schwab, Matthias</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seifried%2C+Erhard%22">Seifried, Erhard</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schäfer%2C+Richard%22">Schäfer, Richard</searchLink><relatesTo>1,5,6</relatesTo> (AUTHOR)<i> richard.schaefer.md@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Advanced+Science%22">Advanced Science</searchLink>. 12/28/2022, Vol. 9 Issue 36, p1-16. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=161063154
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/advs.202204077
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1
    Titles:
      – TitleFull: From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Epah, Jeremy
      – PersonEntity:
          Name:
            NameFull: Gülec, Ilay
      – PersonEntity:
          Name:
            NameFull: Winter, Stefan
      – PersonEntity:
          Name:
            NameFull: Dörr, Johanna
      – PersonEntity:
          Name:
            NameFull: Geisen, Christof
      – PersonEntity:
          Name:
            NameFull: Haecker, Eva
      – PersonEntity:
          Name:
            NameFull: Link, Dietmar
      – PersonEntity:
          Name:
            NameFull: Schwab, Matthias
      – PersonEntity:
          Name:
            NameFull: Seifried, Erhard
      – PersonEntity:
          Name:
            NameFull: Schäfer, Richard
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 28
              M: 12
              Text: 12/28/2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 21983844
          Numbering:
            – Type: volume
              Value: 9
            – Type: issue
              Value: 36
          Titles:
            – TitleFull: Advanced Science
              Type: main
ResultId 1