Key motivations behind this app
With medical records available at a fingerprint, healthcare in Durham has never been easier.
read moreWith our revolutionary AI technology, this app will be suitable for use by all ages and various demographics
read moreFrom reminding patients for their appointments, to avoiding over-dosage, DurHealth will serve the community.
read moreDurHealth will connect doctors and patients with a fingerprint. The patients will be able to access their upcoming appointments through an interactive calendar while accessing doctor notes from previous appointments. On the other hand, doctors will be able to view their appointments in an interactive calendar while also using voice to text software for patient notes and approving or declining prescription requests from the app. The app will use extraction of data using SQL and that large size of data will be put through a classification algorithm called Decision Trees which will put data into distinct groups like; type of illness, gender, age, vaccination history, allergies and/or blood group. Then, we need to assign different timelines for the many combinations of attributes. This could mean more frequent appointments for older people or for people with incomplete vaccination records.
What makes us different from our competitors
With our user-interface being friendlier than ever, people of all ages can use it with ease.
With AI taking massive strides, we have decided to embody it in healthcare. From ordering medication when the monthly stock is over, to scheduling appointments at regular intervals to make sure the patient has completely recovered.
Using a classification machine learning algorithm, we will put the big data into distinct groups and then link timelines and appointments to the different combinations of the attributes. We will mainly be using Decision Trees as an appropriate algorithm type.
With the help of pattern matchers written in Artificial Intelligence Markup Language (AIML), Naive Bayes classifiers and Artificial Neural Networks, we can store questions and responses to frequently asked medical questions and use the Reductionist approach as neural networks break each sentence into words.
Some ideas of how our app will look like
Integer cursus bibendum augue ac cursus .
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque
A108 Adam Street
New York, NY 535022
info@example.com
+1 5589 55488 55s