Longevity Recommender System

Longevity Recommender System is a multi-agent recommender system based on  M.A.R.S . It is designed to analyze the health conditions of clients and provide them with appropriate recommendations to stay healthy and help them maintain their mental and physical form. Longevity Recommender System advises you in the following areas: 

  • Mental Health

  • Nutrition & Diet Therapy

  • Exercise & Fitness

  • Cosmetic Anti-Aging Treatments

  • anti-aging Therapies and Treatments

  • Age Related Disease Treatments

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LONGEVITY RECOMMENDER SYSTEM

The Future of Longevity Healthcare

 Longevity Recommender System
     

RECOMMENDER AGENT

The recommender agent generates personalized recommendations for each client by identifying the relevance of the events, scoring the activities based on the client's profile and provides a ranking of potentially interesting recommendations to the relevant filtering agent.

    

FILTERING AGENT  

For each client case, a filtering agent is created to deal with this unique case, the filtering agent manages the recommendation results received from the recommender agent, chooses the appropriate recommendations to be sent to the client agent, then communicates this information to the manager agent.

      

PROFILE AGENT  

Creates client profiles from various information gathered from different sources including the client, doctors, hospitals, laboratory tests, ...If the client is a newcomer, new profile records will be created. If the client already exists, the information will be updated as required.

      

MANAGER AGENT  

The manager agent centralizes all the information gathered from the filtering agents and the client's feedback to evaluate the relevance and quality of the recommendations provided and accordingly update the recommendation system.

HOW LONGEVITY RECOMMENDER SYSTEM WORKS?

The recommender agent evaluates and scores the activities and information of each client profile. The filtering agent manages the results obtained from the recommender agent and selects the appropriate ones, then sends recommendations to the client and informs the manager agent of its decision. The manager agent collects feedback from the clients on the suitability of the recommendations and on the decisions of the filtering agents. Then, based on all these information, it makes the decision to update the recommendation system.

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FEATURES OF LONGEVITY RECOMMENDER SYSTEM

     

REAL-TIME RECOMMENDATION

Provides in-time guidance ad advice for clients

       

ADAPTABILITY

Improves its recommendations based on clients feedback

         

EASY TO CUSTOMIZE

Provides levels of personalization

         

AI POWERED

Powered by state of art AI algorithms

        

SENTIMENT ANALYSIS

Analyze and classify attitudes of clients toward the recommendation services.

        

PRIVACY ORIENTED

Respects clients data privacy and provides security and stability

          

SCALABILITY

Evolves as clients information is updated and new clients join the system.

     

PERSONALIZED MEDICINE

Each client is unique and deserves a personalized therapy experience according to his/her health profile and diagnoses.

          

SMART REPORTING

Reporting is an integral part of Longevity Recommender System

LONGEVITY RECOMMENDER SYSTEM

Longevity M.A.R.S

Standard

    Usage Plan Per Month


10,000+ Recommendation Requests

Up to 50 Active Clients

    M.A.R.S AI


Machine Learning/AI

Personalization 

Advanced NLP

    Delivery


Cloud-Based

Data Center Failovers & Load Balancing

Dedicated Infrastructure

Dedicated with Failover

Uptime SLA   99.90%

    Platforms & Integration


OpenHospital, GNU Health, ClearHealth, HOSxP Integration

API Interface

    Support & Services


Knowledge Base

Email and Ticket Support

Access to  Group Training

Live Webinars

Contact Us

Plus

    Usage Plan Per Month


50,000+ Recommendation Requests

Up to 100 Active Clients

    M.A.R.S AI


Machine Learning/AI

Personalization 

Advanced NLP

    Delivery


Cloud-Based

Data Center Failovers & Load Balancing

Dedicated Infrastructure

Dedicated with Failover

Uptime SLA   99.90%

    Platforms & Integration


OpenHospital, GNU Health, ClearHealth, HOSxP Integration

API Interface

    Support & Services


Knowledge Base

Email and Ticket Support

Access to  Group Training

Live Webinars

Contact Us
    Usage Plan Per Month


250,000+ Recommendation Requests

Up to 250 Active Clients

    M.A.R.S AI


Machine Learning/AI

Personalization 

Advanced NLP

    Delivery


Cloud-Based

Data Center Failovers & Load Balancing

Dedicated Infrastructure

Dedicated with Failover

Uptime SLA   99.90%

    Platforms & Integration


OpenHospital, GNU Health, ClearHealth, HOSxP Integration

API Interface

    Support & Services


Knowledge Base

Email and Ticket Support

Access to  Group Training

Live Webinars

Contact Us

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