This is an alive example of implementation.
We get this according to the complex statistical algorithms we use to make medical diagnosis.
Learn Diagnosis API: http://smrtx.com/ApiDoc_index.html. By testing the DDxHub Diagnosis System you can see how global companies, as well as startups, have used it to enhance their business and support surrounding their patients and healthcare organizations.
When you transmit to our web service a basic patient health data (such as Blood test results and symptoms), our AI inference engine will analyze the data and provide you with a list of the most likely health conditions. SmrtX provides an API (Application Programming Interface) for patient preliminary medical diagnosis that can help you implement an intelligent symptom checker and Lab Test analyzer for your healthcare medical application.When you incorporate Diagnosis API within your healthcare web-application it will have the same functionalities like presented in DDxHub Diagnosis System (https://ddxhub.azurewebsites.net/).
Online medical resources are essential tools for patients, doctors, and pharmacists. The user can also reverse this process, entering symptoms to receive possible diagnoses. It used to be that when a parent wanted advice about caring for a sick child, the first move was a call to the pediatrician's office. By reaching out to this tool with a GET request, websites and apps can share information about drug interactions, common symptoms of diseases, and treatment options.
How does a medicine API work?
These APIs vary in their applications. The DDxHub diagnosis API lets a user enter a condition and receive a list of diagnosis. The DdxHub API gives its users access to official information about medicines and health equipment from government agencies around the world.These days, that same parent might first check online for the most common treatments. Many of these medical websites and apps rely on APIs to provide information.
What is a medical API?
A diagnosis API is a central storage location for several kinds of medical data.