Thyroid Cancer Recurrence Prediction #963
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Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊 |
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@Niketkumardheeryan, could you please approve this pull request or if there are any changes, let me know |
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@sreevidya-16 good work, just merge EDA and main .ipynb file as there is no such big data analysis and remove unnecessary warnings and errors You can use ... Warning library to remove warnings And try to Describe structure of you model folder in readme.md file. |
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Done update |
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Thyroid cancer recurrence refers to the return of cancer after the initial treatment has successfully eradicated it. This is a significant clinical concern because it can lead to additional treatments, increased healthcare costs, and anxiety for patients. Recurrence can occur in the thyroid bed (local recurrence), regional lymph nodes, or distant sites (metastasis). Understanding and predicting which patients are at risk of recurrence is essential for developing tailored follow-up protocols and treatment plans to improve long-term outcomes.
Machine learning (ML) has revolutionized various fields, including healthcare, by enabling the development of predictive models that can analyze vast amounts of data to identify patterns and make accurate predictions. In the context of thyroid cancer recurrence, ML can be used to analyze patient data and predict the likelihood of recurrence, thereby assisting healthcare providers in making informed decisions about patient management and follow-up care.
@Niketkumardheeryan this Pull Request fixes #954 issue