Data Science in Precision Medicine
Data science in precision medicine is a paradigm shift that aims to advance patient health by combining the specializations of mathematics and statistics, computer science, advanced analytics, artificial intelligence, and machine learning with specific subject matter expertise to uncover actionable insights buried within clinical, public health and research data.
Health information is constantly generated from sources as diverse as patient health records, genomic sequencing, and medical research to environmental events, smart devices, and wearables. Data science in precision medicine involves the art of tracking and analyzing these data points that can then be used to establish a foundation for new breakthroughs in healthcare.
Our team categorizes data science projects into one or more analytical buckets:
- Descriptive Analytics - Identify patterns and relationships among variables within a range of data
- Predictive Analytics - Project future performance using machine learning methods by examining current and historical data
- Prescriptive Analytics - Determine an optimal course of action by combining predictive analytics with current data
