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Visual acuity prediction on real-life patient data using a machine learning based multistage system.

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Title: Visual acuity prediction on real-life patient data using a machine learning based multistage system.
Authors: Schlosser, Tobias1 (AUTHOR) tobias.schlosser@cs.tu-chemnitz.de, Beuth, Frederik1 (AUTHOR), Meyer, Trixy1 (AUTHOR), Kumar, Arunodhayan Sampath1 (AUTHOR), Stolze, Gabriel2 (AUTHOR), Furashova, Olga2 (AUTHOR), Engelmann, Katrin2 (AUTHOR), Kowerko, Danny1 (AUTHOR) danny.kowerko@cs.tu-chemnitz.de
Source: Scientific Reports. 3/6/2024, Vol. 14 Issue 1, p1-18. 18p.
Database: Academic Search Ultimate
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  Data: Visual acuity prediction on real-life patient data using a machine learning based multistage system.
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  Data: <searchLink fieldCode="AR" term="%22Schlosser%2C+Tobias%22">Schlosser, Tobias</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tobias.schlosser@cs.tu-chemnitz.de</i><br /><searchLink fieldCode="AR" term="%22Beuth%2C+Frederik%22">Beuth, Frederik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meyer%2C+Trixy%22">Meyer, Trixy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Arunodhayan+Sampath%22">Kumar, Arunodhayan Sampath</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stolze%2C+Gabriel%22">Stolze, Gabriel</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Furashova%2C+Olga%22">Furashova, Olga</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Engelmann%2C+Katrin%22">Engelmann, Katrin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kowerko%2C+Danny%22">Kowerko, Danny</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> danny.kowerko@cs.tu-chemnitz.de</i>
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 3/6/2024, Vol. 14 Issue 1, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175896066
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        Value: 10.1038/s41598-024-54482-2
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              Text: 3/6/2024
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