Load and analyze FDA Adverse Event Reporting System data with Neo4j
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Updated
May 10, 2024
Load and analyze FDA Adverse Event Reporting System data with Neo4j
OpenSource FAERS Database Cleansing, Merging and Analysis using postgresql
Healthcare Data Analysis Project using Python & Power BI. I've extracted impactful insights on Patents & Exclusivities granted by the US FDA to drug products.
Functions to extract drug records from the FAERS (FDA Adverse Event Reporting System) database
Dashboard designed as a web app using Streamlit library. The dashboard is about the FDA AI/ML-enabled medical devices (from 1995 to 2022).
Leveraging AI to transform FDA FAERS data into actionable pharmaceutical brand strategies and safety monitoring insights.
Strategic analytics and competition prediction platform for pharmaceutical markets using OpenFDA data and Machine Learning (XGBoost/RandomForest).
Reproducible ETL + LLM pipeline over the FDA MAUDE database
A cross-platform mobile app and UI with React Native that allows clients to easily create their allergy profile and get food allergies and FDA recall notification.
This concise description denotes the purpose of the project: to provide a formal analysis of food access challenges for strategic decision-making.
building a visualization app in R using MAUDE database
Information on adverse event and medication error reports submitted to FDA
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