Thyroid Cancer Recurrence Prediction

[sreevidya-16]

Is there an existing issue for this?

• [X] I have searched the existing issues

Feature Description

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.

@sanjay-kv, could you please assign me this issue under GSSOC'24

Use Case

Objective: Develop a machine learning (ML) model to predict the recurrence of thyroid cancer in patients post-treatment, thereby assisting clinicians in identifying high-risk patients for closer monitoring and tailored follow-up care.

Dataset: https://www.kaggle.com/datasets/jainaru/thyroid-disease-data/data

Priority

High

Record

• [X] I have read the Contributing Guidelines
• [X] I'm a GSSOC'24 contributor
• [X] I want to work on this issue

@Niketkumardheeryan, could you please assign me this issue under GSSOC'24

[sreevidya-16]

@Niketkumardheeryan, could you please kindly view this pull request ?

[sanjay-kv]

@Niketkumardheeryan I don't have access to this repo. Kindly provide the invitation to manage the labels.