ILBIN LEE, University of Alberta

Research

Markov Decision Process Medical Decision Making Optimization Sensitivity Analysis Uncertainty Quantification

Latest papers

Effective hospital readmission prediction models using machine-learned features.
BMC health services research · 2022
Parallel Subgradient Algorithm with Block Dual Decomposition for Large-scale Optimization.
European journal of operational research · 2022
Global Sensitivity Analysis via a Statistical Tolerance Approach.
European journal of operational research · 2022

All 4 publications

Latest funding

NSERC/CFS Canada Wildfire Strategic Network
NSERC · 2019 · Co-investigator
$5,050,000
Computational Sensitivity Analysis for Decision-Making under Data Uncertainty
NSERC · 2018 · Principal investigator
$186,060
Computational Sensitivity Analysis for Decision-Making under Data Uncertainty
NSERC · 2018 · Principal investigator
$12,500

All 3 grants and awards

4 publications.

01

Effective hospital readmission prediction models using machine-learned features.

Davis S, Zhang J, Lee I, Rezaei M, Greiner R, McAlister FA, Padwal R

BMC health services research2022

DOI: 10.1186/s12913-022-08748-y PMID: 36434628

02

Parallel Subgradient Algorithm with Block Dual Decomposition for Large-scale Optimization.

Zheng Y, Xie Y, Lee I, Dehghanian A, Serban N

European journal of operational research2022

DOI: 10.1016/j.ejor.2021.11.054 PMID: 35035056

03

Global Sensitivity Analysis via a Statistical Tolerance Approach.

Curry S, Lee I, Ma S, Serban N

European journal of operational research2022

DOI: 10.1016/j.ejor.2021.04.004 PMID: 37780186

04

Estimating the Cost Savings of Preventive Dental Services Delivered to Medicaid-Enrolled Children in Six Southeastern States.

Lee I, Monahan S, Serban N, Griffin PM, Tomar SL

Health services research2018First author

DOI: 10.1111/1475-6773.12811 PMID: 29194610

NSERC/CFS Canada Wildfire Strategic Network

Co-investigatorNSERC2019Strategic Network Grants Program

Principal investigators: Flannigan, Mike MD

$5,050,000

Computational Sensitivity Analysis for Decision-Making under Data Uncertainty

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: LEE, ILBIN

Keywords: Markov Decision Process; Medical Decision Making; Optimization; Sensitivity Analysis; Uncertainty Quantification

$186,060

Computational Sensitivity Analysis for Decision-Making under Data Uncertainty

Principal investigatorNSERC2018Discovery Launch Supplement

Principal investigators: LEE, ILBIN

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Accounting, Operations and Information Systems (AOIS)
Medicine
Computing Science

Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Russell Greiner

Computing Science

1 shared papers, latest 2022

Raj Padwal

Medicine

1 shared papers, latest 2022

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Subject: Prospective PhD student: Markov Decision Process Dear Professor LEE, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Effective hospital readmission prediction models using machine-learned features." (2022), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]