#labdata — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #labdata, aggregated by home.social.
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As the new spokesperson for the core dataset ‘laboratory report’ of the Medical Informatics Initiative #MII, Martin Federbusch now represents science towards industry and politics in the standardisation of digitised #LabData.
With the introduction of #AI in clinics such as #AMPEL, the scientific secondary data of today will become the primary data of tomorrow. It is therefore crucial that the conditions for both training and application of AI systems are right.
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As the new spokesperson for the core dataset ‘laboratory report’ of the Medical Informatics Initiative #MII, Martin Federbusch now represents science towards industry and politics in the standardisation of digitised #LabData.
With the introduction of #AI in clinics such as #AMPEL, the scientific secondary data of today will become the primary data of tomorrow. It is therefore crucial that the conditions for both training and application of AI systems are right.
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As the new spokesperson for the core dataset ‘laboratory report’ of the Medical Informatics Initiative #MII, Martin Federbusch now represents science towards industry and politics in the standardisation of digitised #LabData.
With the introduction of #AI in clinics such as #AMPEL, the scientific secondary data of today will become the primary data of tomorrow. It is therefore crucial that the conditions for both training and application of AI systems are right.
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As the new spokesperson for the core dataset ‘laboratory report’ of the Medical Informatics Initiative #MII, Martin Federbusch now represents science towards industry and politics in the standardisation of digitised #LabData.
With the introduction of #AI in clinics such as #AMPEL, the scientific secondary data of today will become the primary data of tomorrow. It is therefore crucial that the conditions for both training and application of AI systems are right.
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Labor medicine holds a significant place in Germany. Many #ML models rely on #labdata, and we believe this sets the stage for exciting #AI applications in the future #healthcare system.
The German Laboratory Medicine Congress #DKLM has been taking place since yesterday. Our contribution on #bloodcount-based ML early detection of #sepsis won the 1st prize today. Thanks for valuing our work! 🏆
The awarded poster can be downloaded here: https://www.uniklinikum-leipzig.de/einrichtungen/ampel/Freigegebene%20Dokumente/Sepsis%20Poster%20DKLM%202023.pdf
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Labor medicine holds a significant place in Germany. Many #ML models rely on #labdata, and we believe this sets the stage for exciting #AI applications in the future #healthcare system.
The German Laboratory Medicine Congress #DKLM has been taking place since yesterday. Our contribution on #bloodcount-based ML early detection of #sepsis won the 1st prize today. Thanks for valuing our work! 🏆
The awarded poster can be downloaded here: https://www.uniklinikum-leipzig.de/einrichtungen/ampel/Freigegebene%20Dokumente/Sepsis%20Poster%20DKLM%202023.pdf
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Labor medicine holds a significant place in Germany. Many #ML models rely on #labdata, and we believe this sets the stage for exciting #AI applications in the future #healthcare system.
The German Laboratory Medicine Congress #DKLM has been taking place since yesterday. Our contribution on #bloodcount-based ML early detection of #sepsis won the 1st prize today. Thanks for valuing our work! 🏆
The awarded poster can be downloaded here: https://www.uniklinikum-leipzig.de/einrichtungen/ampel/Freigegebene%20Dokumente/Sepsis%20Poster%20DKLM%202023.pdf
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Labor medicine holds a significant place in Germany. Many #ML models rely on #labdata, and we believe this sets the stage for exciting #AI applications in the future #healthcare system.
The German Laboratory Medicine Congress #DKLM has been taking place since yesterday. Our contribution on #bloodcount-based ML early detection of #sepsis won the 1st prize today. Thanks for valuing our work! 🏆
The awarded poster can be downloaded here: https://www.uniklinikum-leipzig.de/einrichtungen/ampel/Freigegebene%20Dokumente/Sepsis%20Poster%20DKLM%202023.pdf
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The #AMPEL team develops a #Sepsis model based on #LabData. It has been shown that just a few parameters from the blood count may suffice: https://doi.org/10.1101/2022.10.21.22281348
Preliminary findings indicate that in specific scenarios (e.g., #ED), even better predictions can be achieved.
Next year, we will release our #OpenSource #CDSS, including an ML model for #Sepsis detection!
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The #AMPEL team develops a #Sepsis model based on #LabData. It has been shown that just a few parameters from the blood count may suffice: https://doi.org/10.1101/2022.10.21.22281348
Preliminary findings indicate that in specific scenarios (e.g., #ED), even better predictions can be achieved.
Next year, we will release our #OpenSource #CDSS, including an ML model for #Sepsis detection!
2/2
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The #AMPEL team develops a #Sepsis model based on #LabData. It has been shown that just a few parameters from the blood count may suffice: https://doi.org/10.1101/2022.10.21.22281348
Preliminary findings indicate that in specific scenarios (e.g., #ED), even better predictions can be achieved.
Next year, we will release our #OpenSource #CDSS, including an ML model for #Sepsis detection!
2/2
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The #AMPEL team develops a #Sepsis model based on #LabData. It has been shown that just a few parameters from the blood count may suffice: https://doi.org/10.1101/2022.10.21.22281348
Preliminary findings indicate that in specific scenarios (e.g., #ED), even better predictions can be achieved.
Next year, we will release our #OpenSource #CDSS, including an ML model for #Sepsis detection!
2/2
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The #AMPEL team develops a #Sepsis model based on #LabData. It has been shown that just a few parameters from the blood count may suffice: https://doi.org/10.1101/2022.10.21.22281348
Preliminary findings indicate that in specific scenarios (e.g., #ED), even better predictions can be achieved.
Next year, we will release our #OpenSource #CDSS, including an ML model for #Sepsis detection!
2/2
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As a #Physician, I started in #Anesthesiology and then found my way into #DataScience
With a highly motivated team we implement a clinical decision support system #CDSS, called #AMPEL, based on #Labdata at the University Hospital #Leipzig
I am dedicated to #Sepsis prediction using #ML and #Rstats and the interoperable use of #Labdata with #LOINC #MII
I look forward to inspiring discussions about how we can leverage #eHealth