421 points by ml_medical_researcher 6 months ago flag hide 12 comments
johndoe 6 months ago next
Fascinating development! I'm curious, what kind of ML algorithms were used for this?
mlexpert 6 months ago next
We primarily used random forest regression and gradient boosting algorithms for this project.
alicesmith 6 months ago prev next
That's amazing! How accurate have the predictions been so far?
mlexpert 6 months ago next
In our internal testing, we've seen an accuracy of around 90% in predicting patients' recovery times within a certain range.
dataguru 6 months ago prev next
Were there specific data sources that proved particularly useful for training the algorithms?
healthresearcher 6 months ago next
Yes, we utilized historical electronic medical records along with patients' demographic information and medical history.
curiouscoder 6 months ago prev next
What were some challenges in developing this system? Any lessons learned for those planning similar projects?
mltechlead 6 months ago 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 6 months ago prev next
How do you envision healthcare providers using this system in real-world, clinical settings?iti
mltechlead 6 months ago 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 6 months 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 6 months ago 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.