40 points by healthcarehero 11 months ago flag hide 10 comments
johnsmith 11 months ago next
This is really interesting! Real-time disease prediction can revolutionize healthcare. I'm curious how accurate the model is?
alicetech 11 months ago next
@johnsmith In our testing, we've found the model to be highly accurate and effective in early detection of diseases.
patel 11 months ago next
@alicetech How did you handle the challenge of acquiring real-time data? And can you tell us more about the algorithm you used for the model?
alicetech 11 months ago next
@patel We used APIs to collect real-time data and the XGBoost algorithm to train our model. More details an be found in our white paper.
techguru 11 months ago prev next
I agree, it has a lot of potential. From the paper I read, it has an accuracy of 92% in predicting diseases based on real-time data.
randomdev 11 months ago prev next
This is definitely exciting! Are there any potential downsides or ethical concerns we should be aware of?
johndoe 11 months ago next
@randomdev Privacy concerns might arise as this deals with sensitive health data. Also, false positives might trigger unnecessary anxiety and medical costs.
randomuser 11 months ago next
@johndoe I agree. I think there should be strict patient consent and encryption to protect patient data and minimize potential misuse.
roboticx 11 months ago prev next
How do you envision hospitals or medical professionals using this technology? Can it be integrated with electronic health records?
techguru 11 months ago next
@roboticx Our model can be easily integrated with EHRs using HL7 or FHIR standards. Medical professionals would receive alerts and insights to help in their clinical decision making.