shruthishri / sensitivity-analysis-and-fit-for-purpose-testing-for-digital-health-solutions Goto Github PK

Objective: Perform sensitivity analysis and FFP testing on a dataset of digital health metrics to evaluate the viability of a new health monitoring solution.

Dataset: Hypothetical dataset of health metrics collected from wearable devices.

Tools: Python, pandas, numpy, matplotlib, seaborn, scikit-learn

The dataset consists of health metrics collected from wearable devices, including heart rate, step count, sleep duration, and sensor accuracy. Each row represents a unique observation for a particular individual.

1. Data Preparation
2. Exploratory Data Analysis (EDA)
3. Sensitivity Analysis
4. Fit-For-Purpose (FFP) Testing
5. Results Interpretation and Reporting