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Operated by the Institute for Health Metrics and Evaluation (IHME), provides access to a comprehensive collection of global health data and indicators.
GHDx data is downloadable as CSV from the IHME results tool. Engineers use `pandas.read_csv()` to load GBD results files, which typically have measure, location, year, age, sex, and cause columns requiring `groupby` and `pivot_table` for analysis.
GHDx's Global Burden of Disease data trains AI models for health outcome prediction and disease priority modeling. Build RAG knowledge bases indexed on GBD study results so LLMs can answer 'What is the leading cause of premature death in sub-Saharan Africa?' with IHME-verified statistics.
# pip install pandas
import pandas as pd
# Download GBD results from IHME GHDx results tool
# https://vizhub.healthdata.org/gbd-results/
df = pd.read_csv("IHME-GBD_2021_DATA.csv")
df_top = (df[df["measure"] == "Deaths"]
.groupby("cause")["val"]
.sum()
.sort_values(ascending=False)
.head(10))
print(df_top)Official dataset source
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