# SERVICES FOR CREATING A TOOLKIT FOR LEARNING AND PREDICTING ALCOHOL USE PATTERNS.

> **NIH NIH N43** · BIOREALM · 2020 · $224,513

## Abstract

This contract is for a project titled, "Toolkit for Learning and Predicting Alcohol Use Patterns (SBIR Phase I, Topic
019), and the purpose for this project is for creating a platform to accelerate alcohol research that consists of
developing an innovative toolkit for learning and predicting alcohol use patterns and creating machine learning
algorithms that are capable of analyzing high dimensional data, which shall have the ability to model the more
complicated features inherent in biological data. In this Phase I project, the Contractor shall demonstrate the feasibility
of the proposed platform by extending the support vector machines (SVMs) to handle random effects, profiling the
algorithms through simulations, and applying the prototype platform to an NIAAA-sponsored longitudinal study of
heavy drinkers. The data, algorithms, and results shall be packaged into interactive Jupyter notebooks for alcohol
researchers to explore and compute risk in new patients.

## Key facts

- **NIH application ID:** 10272783
- **Project number:** 75N94020C00003-0-9999-1
- **Recipient organization:** BIOREALM
- **Principal Investigator:** JAMES BAURLEY, PH.D.
- **Activity code:** N43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $224,513
- **Award type:** —
- **Project period:** 2020-09-08 → 2021-03-07

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10272783

## Citation

> US National Institutes of Health, RePORTER application 10272783, SERVICES FOR CREATING A TOOLKIT FOR LEARNING AND PREDICTING ALCOHOL USE PATTERNS. (75N94020C00003-0-9999-1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10272783. Licensed CC0.

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