afib risk calculator platform -

AFib Risk Calculator Platform

The AFib Risk Calculator Platform seamlessly blends user-friendliness with advanced statistical models. In straightforward terms, this tool plays a crucial role in identifying potential AFib early on, offering valuable insights, and reducing the risk of stroke, heart failure, and dementia. Tailored for both individuals and healthcare professionals, it’s the key to informed decisions and improved patient outcomes.

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Project Team Size and Deadline

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Team

5 Members

Project manager (1) | Designers (1) | Developers (1) | Data Architect(1) | Data Scientist (1)

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Duration

3-4 Months
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Client

Confidential

Industry: Healthcare

Our Development Process:

  • 1

    Conceptualization

    In-depth data analysis and a TensorFlow roadmap set the groundwork for advanced AFib risk identification.

  • 2

    Design/Creation

    User-centric design principles ensure a seamless experience for both individuals and healthcare professionals.

  • 3

    Development/Implementation

    Leveraging ReactJS, Python, Django, MySQL, and TensorFlow for cutting-edge functionality.

  • 4

    Testing/QA

    Effective Assessments: Practice and get feedback through questionnaires and mock tests.

  • 5

    Deployment/Launch

    Tool launch includes targeted marketing and social campaigns for seamless platform introduction.

  • 6

    Support/Maintenance

    Ongoing commitment to updates and enhancements based on user feedback and market trends.

Challenges Faced

  • Precision in Risk Identification: Tailoring advanced statistical models for precise AFib risk identification posed initial challenges in optimization
  • Data Accuracy and Privacy Assurance: Navigating the delicate balance between collecting accurate user data and maintaining stringent privacy standards.
  • Algorithm Validation Struggles: Ensuring the risk assessment algorithm’s effectiveness demanded rigorous validation for precise predictions.

Strategies andSolutions Implemented?

  • User Education: A robust system was implemented to educate users about the critical role of accurate data input for optimal risk assessment.
  • Advanced-Data Encryption: Employing cutting-edge encryption techniques to fortify user data security, addressing paramount privacy concerns.
  • Continuous Algorithm Refinement: Establishing a systematic approach for ongoing algorithm updates based on continuous research insights and user feedback.

Technology Stack Used

  • ReactJSFrontend: ReactJS
  • Python Backend: Python, Django
  • Database-MySQLMySQL
  • Machine-LearningMachine Learning: TensorFlow

Key Features of the Tool

User Profiles

User Profiles/Dashboards (Patients and Doctors)

Precision-Risk-Algorithm

Precision Risk Algorithm

Knowledge-Hub

Knowledge Hub

Risk Factors Guide

Risk Factors Guide

Personal Risk Snapshot

Personal Risk Snapshot

Lifestyle Insights

Lifestyle Insights

Reminder System

Reminder System

FAQ-Assessment Log

Assessment Log

Risk Profiler

Risk Profiler

Wellness Advisory

Wellness Advisory

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Why Choose Us DS4U?

Choose unparalleled excellence in healthcare IT. From ML-driven tools to data science solutions, 90% of clients agree – we understand your needs like no other.

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19+ Years of Long Experience

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Dedicated Team of Developers

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Process Automation via Mobile Apps

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Simple Conversation

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Fast Feedback From Clients

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Helps Your Acquire New Business

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Bridge Between Company & Client

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Eliminates Manual Tasking

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Join a league of satisfied clients who’ve embraced diverse tools and solutions, all backed by our commitment to excellence.

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