While machine learning models for prediction of cardiac surgery-associated AKI show promise, they should be used cautiously and customized to the specific clinical environment for best results.
➡️Read more in the latest issue of @pedcritcaremed: https://t.co/FUoqtcVNMH
#SCCM
Too often people claim to be in the clinical ML space. My friends at Cleveland Clinic really live and breathe it with great work to show for it!
#pedsicu#ml#ai#DataScience
New Video Series: Statistics & Data Analysis!
https://t.co/YfJTxDeiHn
35 videos, 10 hours:
Random sampling, Central limit theorem, Distribution estimation, Method of moments, Maximum likelihood estimation, Hypothesis testing, Monte Carlo sampling, Bayesian statistics, and more!
AI meets pediatric care! Our ML model predicts escalation in childhood pneumonia with up to 88% accuracy using key clinical indicators like hypoxemia, respiratory distress, age, weight-for-age, and complaint duration. Empowering timely care in resource-limited settings. #PedsICU
#Measles infection, including prevention, symptoms of infection, contagiousness, and treatment, described in this JAMA Patient Page. https://t.co/q665V8GXnb
you only need 10 days to study the basic Math for Machine Learning,
this course on Coursera is a solid one,
it’s 60 hours long, that means 10 days to study calculus, algebra, probability and statistics
Latest episode of our podcast is out: "What Kind of Intelligence is an LLM?"
We talk with two brilliant scholars who have thought a lot about that question: @TomerUllman and @mpshanahan
I hope you will give it a listen!
https://t.co/liE6FU1P5h
New study by Dr. Ganatra from CCF shows that machine learning outperforms current models in predicting PICU length of stay, promising better patient management and resource use.
https://t.co/MXXnDSEx86
#PICU#MachineLearning#PEDAL#PALISI