Welcome to DurHealth

Connecting Doctors and Patients

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Aims & Objectives

Key motivations behind this app

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making healthcare easier

With medical records available at a fingerprint, healthcare in Durham has never been easier.

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user friendly interface

With our revolutionary AI technology, this app will be suitable for use by all ages and various demographics

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Improving Durham's health

From reminding patients for their appointments, to avoiding over-dosage, DurHealth will serve the community.

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DurHealthProviding healthcare solutions for all

DurHealth 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.

  • Fast, efficient and effective
  • User-friendly
  • Creative Design
  • Innovative technology

Amazing Features.

What makes us different from our competitors

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creative design

With our user-interface being friendlier than ever, people of all ages can use it with ease.

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Artifical Intelligence

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.

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Machine Learning

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.

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Doc-Bot

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.

App Gallery

Some ideas of how our app will look like

Team Member

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Co-Founder

Devansh Sachdeva

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Co-Founder

Mahek Vara

Contact

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A108 Adam Street
New York, NY 535022

+1 5589 55488 55s

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