DTAPCC: Disease trend analysis platform of Cervical Cancer

Using blood routine data to predict cervical cancer

Cervical cancer is the most common gynecological malignancy. The high incidence age of carcinoma in situ is 30-35 years old, and the age of invasive carcinoma is 45-55 years old. In recent years, the incidence of cancer has been younger. The widespread application of cervical cytology screening in recent decades has enabled early detection and treatment of cervical cancer and precancerous lesions, and the incidence and mortality of cervical cancer have decreased significantly. We have built an accurate cervical cancer prediction model through artificial intelligence. Users only need to submit blood routine data to judge whether they have cervical cancer.

Forecast based on trend rather than value

Our model is an artificial intelligence classification model constructed based on the trend feature data converted from the distribution of blood routine data. It has better stability than routine data and can accurately predict the occurrence and development of cervical cancer in the context of complex diseases. And our model greatly expands the dimensionality of blood routine data, allowing us to analyze the correlation between features from a broader perspective.

Model manual and feedback

You can enter the blood routine data in the input box on the Server page. You can also submit a photo of blood routine test, and the system will automatically fill in the data in the input box. We recommend that you add no more than 2000 pieces of data, otherwise you may interrupt the webpage due to the long waiting time. During your use of DTAPCC, if you have any errors or questions, you can contact us and we will reply and answer your questions within 5 days.