40 points by healthcarehero 6 months ago flag hide 10 comments
johnsmith 6 months ago next
This is really interesting! Real-time disease prediction can revolutionize healthcare. I'm curious how accurate the model is?
alicetech 6 months ago next
@johnsmith In our testing, we've found the model to be highly accurate and effective in early detection of diseases.
patel 6 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 6 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 6 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 6 months ago prev next
This is definitely exciting! Are there any potential downsides or ethical concerns we should be aware of?
johndoe 6 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 6 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 6 months ago prev next
How do you envision hospitals or medical professionals using this technology? Can it be integrated with electronic health records?
techguru 6 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.