| 2023 | | Machine learning-based prediction model for postoperative delirium in non-cardiac surgery | 박래웅, 박정찬 |
| 2023 | | Classification of ICD-O-3 codes from pathology report using natural language processing | 김현미, 박래웅 |
| 2023 | | Risk of hepatocellular carcinoma in patients with high serum alpha-fetoprotein and negative imaging diagnosis | 박래웅, 허수빈 |
| 2023 | | Development of Clinical Information Extraction Model from Unstructured Clinical Reports using Natural Language Processing | 박래웅, 박지명 |
| 2022 | | Machine Learning Approach Using Routine Immediate Postoperative Laboratory Values for Predicting Postoperative Mortality | 박래웅, 조재형 |
| 2022 | | Strategy for Improving Generalizability of Medical Imaging Artificial Intelligence Model | 박래웅, 신서정 |
| 2022 | | The Bio-signal based Model to Predict the Occurrence of Delirium in Intensive Care Unit(ICU) | 김형준, 박래웅, 윤덕용 |
| 2022 | | Machine learning model for prediction of hemorrhage in intensive care unit | 강소라, 박래웅, 윤덕용 |
| 2022 | | Research of deep learning methods for waveform bio-signal outlier detection | 박래웅, 박태준, 윤덕용 |
| 2021 | | Mortality Risk Factors in Myocardial Injury after Noncardiac Surgery: Registry extracted via Clinical Data Warehouse (CDW) | 박래웅, 양광모 |
| 2021 | | Development of a predictive model for adverse drug reactions using unstructured nursing records | 박래웅, 박호준 |
| 2021 | | Development of chemotherapy regimen identification algorithm and clinical characterization of patients with cancer | 박래웅, 전호균 |
| 2021 | | New phenotyping of severe asthmatics using long-term followed measurement data | 박래웅, 박유진 |
| 2021 | | Representation-learning based propensity score model for causal inference in high dimension | 박래웅, 유승찬 |
| 2020 | | Development of cancer pathology data model and natural language processing based data conversion methodology | 박래웅, 신다혜 |
| 2020 | | Development of standardized stepwise evaluation and integrated management model for Clinical Big data Quality improvement | 박래웅, 변정현 |
| 2019 | | Chronic Kidney Disease Risk Prediction using Electronic Health Records Pattern Information based on Deep Learning | 박래웅, 이유림 |
| 2019 | | Comparison between comorbidity adjustment tools in the prediction model for hospital mortalit | 박래웅, 백설경 |
| 2017 | | Logistic regression of large scale data using distributed processing algorithm | 박래웅, 정성재 |
| 2017 | | Risk factors for medication administration error alerts: analyses of a large-scale closed-loop medication administration system using RFID and barcode | 박래웅, 황연수 |
| 2016 | | Analyzing alert overrides reasons in the Drug Utilization Review system | 박래웅, 장철 |
| 2016 | | Influence of Smartphone Addiction on Depression, LD, ADHD, Health Behavior and Recognition | 김은엽, 박래웅 |
| 2016 | | 다기관 검사 데이터 통합 분석을 위한 정규화 방법 | 박래웅, 윤덕용 |
| 2015 | | Next-generation sequencing (NGS) for human disease research | 김경, 박래웅 |
| 2015 | | Characterization of cancer and aging using multi-omics data | 김지현, 박래웅 |
| 2015 | | Evaluation of drug-drug interaction in the EHR data | 박래웅, 안은경 |
| 2014 | | Can we predict when to start renal replacement therapy in chronic kidney disease patient by using 6 months clinical data? | 김흥수, 박래웅, 박주한, 신규태 |
| 2013 | | Effects of a smart phone application on breast self-examination: a feasibility study | 박래웅, 허재성 |
| 2012 | | Evaluation of Practical Exercises Using an Intravenous Simulator Incorporating Virtual Reality and Haptic Technologies | 박래웅, 정은영 |
| 2011 | | Pharmacovigilance study using Electronic Medical Records | 박래웅, 윤덕용 |
| 2011 | | Analysis of Activity Pattern of Children Attending Elementary School, and Development of a Prediction Model Based on Data Mining Approach for ADHD Screening | 감혜진, 박래웅 |
| 2010 | | Time Series Forecasting Modeling for Demand of Emergency Department | 박래웅, 성진옥 |
| 2007 | | Modeling of a Rule Based Adverse Drug Event Surveillance System | 박래웅, 이경진 |
| 2007 | | Adaption of Technical Architecture and Data Mining Model for Event Signal Detection in Adverse Drug Event Surveillance System | 박래웅, 이영호 |
