Summary

Automatic disease diagnosis systems guide physicians in diagnosing diseases by using statistical algorithms to find relations between symptoms and different diseases.

genislab ai usecases

Usecase:Automated Disease Diagnosis

Overview

Automated disease diagnosis in healthcare is the use of automated data systems to proactively or reactively diagnose diseases. The system contains three main components: medical knowledge base, data processing, and data analytics. First, a semantic-rich knowledge base is built using practical clinical data collected from healthcare institutions. Systems can be based on existing population knowledge databases or can be personalized to factor in lifestyle, hormonal, or other variables that are unique to each patient. Second, an automated integration platform is developed for patients to upload and manage their health data. The data is integrated with their clinical data and is then used as input for the data analytics tool. The automated diagnosis results are retuned and visualized to the corresponding patients and doctors. Data analytics models will be refined using feedback from doctors and patients.

Let us know if you have any questions? We would love to assist you


Share with your network

Facebook
Twitter
LinkedIn
WhatsApp
Email