A healthcare client conducting global clinical trials struggled to identify patients at high risk of stroke due to scattered medical records and inconsistent manual assessments.
We deployed a team of experts and used R to build a predictive model with tidyverse, caret, and random Forest. Data was cleaned, features were engineered, and a risk scoring model was created.
The model achieved 85 percent accuracy, enabling early intervention. High risk patients were flagged automatically, reducing emergency stroke cases by 20 percent.
A healthcare client conducting global clinical trials struggled to identify patients at high risk of stroke due to scattered medical records and inconsistent manual assessments.
We deployed a team of experts and used R to build a predictive model with tidyverse, caret, and random Forest. Data was cleaned, features were engineered, and a risk scoring model was created.
The model achieved 85 percent accuracy, enabling early intervention. High risk patients were flagged automatically, reducing emergency stroke cases by 20 percent.
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.
