# AI and Big Healthcare Data Research Lab

## About

The AI and Big Healthcare Data Research Lab is based at the **Nazarbayev University School of Medicine** in **Astana, Kazakhstan**. We conduct large-scale epidemiological studies using Kazakhstan's Unified National Electronic Healthcare System (UNEHS), which covers the entire population since 2014.

## Research Focus

- Non-communicable diseases: Diabetes Mellitus, Chronic Kidney Disease, Cardiovascular Diseases, Stroke, Cancer (Colorectal, Liver, Pancreatic, Esophageal, Breast)
- Communicable diseases: Tuberculosis, HIV, Viral Hepatitis B & C, Meningitis, Measles, Pertussis, Influenza, Chickenpox
- AI & Methods: Local LLMs, EMR Analysis, Mortality Prediction, Drug Demand Forecasting, Machine Learning Pipelines
- Other: Knee Osteoarthritis, Acute Myocardial Infarction, Hypertension, Peripartum Outcomes

## Leadership

- Abduzhappar Gaipov — Principal Investigator — [Scopus](https://www.scopus.com/authid/detail.uri?authorId=54415462800)
- Dinara Galiyeva — Principal Investigator — [Scopus](https://www.scopus.com/authid/detail.uri?authorId=57212506227)

## Key Instructors

- Arnur Gusmanov — [Scopus](https://www.scopus.com/authid/detail.uri?authorId=57216565668)
- Yesbolat Sakko — [Scopus](https://www.scopus.com/authid/detail.uri?authorId=57224011346)

## Notable Recent Publications

- Prevalence, Incidence and Mortality of Thyroid Cancer in Kazakhstan: Data from the Unified National Electronic Health System 2014-2021 — [DOI](https://doi.org/10.63946/ehdi/17889)
- Understanding Cardiovascular Mortality and Disability in Central Asia: A GBD-Based Analysis and Forecast to 2050  — [DOI](https://doi.org/10.63946/ehdi/18794)
- Forecasting the future burden of major diseases in Kazakhstan using global burden of disease and time series models (ARIMA, Prophet, LSTM), 2019-2032 — [DOI](https://doi.org/10.29333/ejgm/17734)
- Cancer trends in Central Asia from 1990 to 2021: Analysis of the global burden of disease study — [DOI](https://doi.org/10.29333/ejgm/17973)
- Methodological Note on Predicting One-Year Mortality for Chronic Diseases Using Administrative Data — [DOI](https://doi.org/10.63946/ehdi/17159)

## Active Grants

- Innovative Assessment of Solid Cancers Burden in Kazakhstan and Its 10-year Trend Using Big Healthcare Data and Forecasting Models (2023-12-31 – 2026-12-30)
- An AI-based Approach for Analyzing Electronic Medical Records: Prediction of Healthcare Outcomes and Drug Demand (2023-12-31 – 2026-12-30)

## Lab Stats

- 7 research grants
- 50 peer-reviewed publications
- 17 team members
- 16 conference abstracts

## Collaboration

We actively welcome and are seeking research collaborations in epidemiology, machine learning, and healthcare data research. We are open to joint grant applications, multi-site research consortia, student exchanges, and data-sharing partnerships.

Get in touch: https://ai-lab.nusom.nu.edu.kz/collaboration/

## Keywords

Kazakhstan epidemiology, AI healthcare research, population health, Nazarbayev University, big healthcare data, machine learning healthcare, local LLMs, chronic disease modeling, infectious disease forecasting