DietManager: Personalized Diet Plans Generation System

Technology domains
Cloud Solutions | Mobile | Big Data and Analytics | AI | Neural networks | Machine Learning | Deep Learning
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DietManager: Personalized Diet Plans Generation System
Many people know good nutrition helps maintain a healthy weight. But in fact, the benefits of eating healthy go beyond staying fit. Good nutrition can help strengthen the immune system, easily cope with ongoing illnesses, and reduce the risk of developing chronic diseases such as diabetes, heart disease, stroke osteoporosis, and some cancers...
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Challenge

Many people know good nutrition helps maintain a healthy weight. But in fact, the benefits of eating healthy go beyond staying fit. Good nutrition can help strengthen the immune system, easily cope with ongoing illnesses, and reduce the risk of developing chronic diseases such as diabetes, heart disease, stroke osteoporosis, and some cancers.

It’s quite difficult to choose a diet that fits your needs and to strictly follow it, especially considering the huge variety of diets and nutrition programs available on the internet. One should understand that there’s no one-size-fits-all option. A diet plan should be created based on a person’s health and goals.

And the best source of information about the state of internal organs and systems is a biochemical blood test. It allows you to determine the body’s need for micro- and macro-nutrients, vitamins, hormones, and enzymes and detect metabopc abnormapties.

Solution

Softarex has developed DietManager — an AI-based system that can create personalized diet plans based on biochemical blood test results.

That’s how it works: a patient uploads their biochemical blood test results to a mobile app, clicks ‘analyze’, and receives personalized diet plans and nutrition tips suitable for their medical condition and health.

DietManager consists of two components: a web-based application for medical professionals and administrators and a mobile application for patients.

Mobile application

The app provides the following features:

  • Registration;
  • Patient profile with personal information, smoking status, race, ethnicity, etc.;
  • Manual blood test results uploading;
  • Blood test results processing based on machine learning technology;
  • Food lists — food items are divided into 3 groups: allowed ones, those that should be limited, and the ones that a patient must avoid;
  • Diet plans;
  • Recipes;
  • Physical activity recommendations;
  • Diet diary with daily weight measurements, consumed calories;
  • Medication and doctor appointment reminder;
  • Online doctor consultations via text, video;
  • Synchronization with fitness trackers, smartwatches, smart scales, and more.

Web application

The app allows doctors to:

  • Get dietary recommendations based on patient blood results;
  • Adjust patient diet plans recommended by the app;
  • Create new diet plans;
  • Monitor patient progress;
  • Review patient diet diaries.

Using the DietManager web app, administrators can create and edit directories: diet plans, food lists, reference ranges for blood tests, and more.

Project’s results

DietManager helps healthcare providers achieve the following:

  • Improved patient outcomes;
  • More personalized, data-driven care.

Technical challenges

  • Development of algorithms for the analysis of user’s biochemical blood test results;
  • Development of AI algorithms to create food lists;
  • Development of algorithms for selecting recipes with recommended food items.
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