Hugh Logan Ellis
@doc-hle.bsky.social
Hospital doctor (Internal Medicine & D&E) doing a PhD - measuring "baseline" from messy hospital data.
"Could give lessons on how not to use social media"
"Could give lessons on how not to use social media"
Reposted by Hugh Logan Ellis
Do Clinical Frailty Scores (CFS) measured in A&E tell us anything useful?
Tiny answer: Yes.
1/7
Tiny answer: Yes.
1/7
April 21, 2025 at 2:01 AM
Do Clinical Frailty Scores (CFS) measured in A&E tell us anything useful?
Tiny answer: Yes.
1/7
Tiny answer: Yes.
1/7
Do Clinical Frailty Scores (CFS) measured in A&E tell us anything useful?
Tiny answer: Yes.
1/7
Tiny answer: Yes.
1/7
April 21, 2025 at 2:01 AM
Do Clinical Frailty Scores (CFS) measured in A&E tell us anything useful?
Tiny answer: Yes.
1/7
Tiny answer: Yes.
1/7
Reposted by Hugh Logan Ellis
La paradoja de la alerta temprana en el entrenamiento de los modelos de aprendizaje automático. Imprescindible.
www.nature.com/articles/s41...
Básicamente las intervenciones con éxito pueden provocar que un factor de riesgo importante parezca poco predictivo en los datos retrospectivos
#IA
www.nature.com/articles/s41...
Básicamente las intervenciones con éxito pueden provocar que un factor de riesgo importante parezca poco predictivo en los datos retrospectivos
#IA
The early warning paradox - npj Digital Medicine
Machine learning models in healthcare aim to predict critical outcomes but often overlook existing Early Warning Systems’ impact. Using data from King’s College Hospital, we demonstrate how current ev...
www.nature.com
February 4, 2025 at 10:34 AM
La paradoja de la alerta temprana en el entrenamiento de los modelos de aprendizaje automático. Imprescindible.
www.nature.com/articles/s41...
Básicamente las intervenciones con éxito pueden provocar que un factor de riesgo importante parezca poco predictivo en los datos retrospectivos
#IA
www.nature.com/articles/s41...
Básicamente las intervenciones con éxito pueden provocar que un factor de riesgo importante parezca poco predictivo en los datos retrospectivos
#IA
Reposted by Hugh Logan Ellis
Why do some AI models struggle in real-world healthcare? A new study explores the early warning paradox—where existing alert systems can mask the true impact of machine learning predictions. Systems-level approaches to #AI evaluation are key! 🤖⚕️ nature.com
www.nature.com/articles/s41...
www.nature.com/articles/s41...
The early warning paradox - npj Digital Medicine
Machine learning models in healthcare aim to predict critical outcomes but often overlook existing Early Warning Systems’ impact. Using data from King’s College Hospital, we demonstrate how current ev...
www.nature.com
February 3, 2025 at 6:52 PM
Why do some AI models struggle in real-world healthcare? A new study explores the early warning paradox—where existing alert systems can mask the true impact of machine learning predictions. Systems-level approaches to #AI evaluation are key! 🤖⚕️ nature.com
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Reposted by Hugh Logan Ellis
Hugh has been talking about this issue for a long time. It’s very gratifying to see it in print. I’m honoured to have contributed. Please do have a read and let’s discuss more about this issue.
Your bleep goes: Bed 8's observations are concerning. You find them bolt upright, gripping the rails, wheezing with each desperate gasp. BP up, sats down. Classic APO - treat it now and they'll live, wait too long and they'll die. Yet AI systems might miss these cases. Our new paper explains why...
February 3, 2025 at 10:16 PM
Hugh has been talking about this issue for a long time. It’s very gratifying to see it in print. I’m honoured to have contributed. Please do have a read and let’s discuss more about this issue.
Your bleep goes: Bed 8's observations are concerning. You find them bolt upright, gripping the rails, wheezing with each desperate gasp. BP up, sats down. Classic APO - treat it now and they'll live, wait too long and they'll die. Yet AI systems might miss these cases. Our new paper explains why...
February 3, 2025 at 6:38 PM
Your bleep goes: Bed 8's observations are concerning. You find them bolt upright, gripping the rails, wheezing with each desperate gasp. BP up, sats down. Classic APO - treat it now and they'll live, wait too long and they'll die. Yet AI systems might miss these cases. Our new paper explains why...