An interactive web application developed with Streamlit, designed for making predictions using various machine learning models. The app dynamically generates forms and pages from JSON configuration files. ⭐ If you found this helpful, consider starring the repo!
issue #86
The goal is to predict the likelihood of cervical cancer in individuals based on various risk factors such as age, number of sexual partners, pregnancies, and other related attributes. Early prediction of cervical cancer can help in timely medical intervention, improving patient outcomes. The problem needs a solution to assist healthcare providers in diagnosing and assessing cervical cancer risk, thereby enabling preventive measures.
issue #86 The goal is to predict the likelihood of cervical cancer in individuals based on various risk factors such as age, number of sexual partners, pregnancies, and other related attributes. Early prediction of cervical cancer can help in timely medical intervention, improving patient outcomes. The problem needs a solution to assist healthcare providers in diagnosing and assessing cervical cancer risk, thereby enabling preventive measures.
Screenshots of few results:
