One of our clients wanted to build a predictive system that uses biometric data and self-reported questionnaires to forecast migraine onset. The system integrates deep learning models in Python and a real-time dashboard in R Shiny to visualize predictions and collect feedback.
o automate the process, our team stored Data in AWS S3 buckets that were Organized by participant ID, timestamp, and signal type. The Data Preprocessing was done in Python that signalled smoothing and noise reduction, created Time-series alignment across variables. Deep learning model used multi-input neural network, LSTM layers for time-series signals and Dense layers for static features.
Dashboard prototype using R Shiny displayed real-time prediction, tracked biometric trends, and collected feedback.
The system added anomaly detection for rare migraine types, enabled federated learning for privacy-preserving updates. It showed HRV dips and elevated cortisol levels often precede migraines, also questionnaire data improved model sensitivity, and the feedback loop enhanced personalization and accuracy.
One of our clients wanted to build a predictive system that uses biometric data and self-reported questionnaires to forecast migraine onset. The system integrates deep learning models in Python and a real-time dashboard in R Shiny to visualize predictions and collect feedback.
o automate the process, our team stored Data in AWS S3 buckets that were Organized by participant ID, timestamp, and signal type. The Data Preprocessing was done in Python that signalled smoothing and noise reduction, created Time-series alignment across variables. Deep learning model used multi-input neural network, LSTM layers for time-series signals and Dense layers for static features.
Dashboard prototype using R Shiny displayed real-time prediction, tracked biometric trends, and collected feedback.
The system added anomaly detection for rare migraine types, enabled federated learning for privacy-preserving updates. It showed HRV dips and elevated cortisol levels often precede migraines, also questionnaire data improved model sensitivity, and the feedback loop enhanced personalization and accuracy.
Headquartered in New Jersey, Rang Technologies has dedicated over a decade delivering innovative solutions and best talent to help businesses get the most out of the latest technologies in their digital transformation journey. Rang Technologies has grown to become a global leader in Analytics, Data Science, Artificial Intelligence, Machine Learning, Salesforce CRM, Cloud, DevOps, Internet of Things (IoT), Cybersecurity, IT Consulting and Staffing, and Corporate Training. Our clients, which include Fortune 500 to Start-up companies, come from a wide array of industries, including pharmaceuticals, healthcare, retail, technology, BFSI, media, automobile, manufacturing, and several others. Our clients know they can rely on Rang Technologies to deliver customized and comprehensive digital solutions and talent to complement their business and technical objectives.
