Jiwon Yoon

Interested in application of artificial intelligence into medical data.

[ yooonjiwon.github.io ] . [ yoon.jiwon.g@gmail.com ] . [ 306 227 8155 ] . [ Saskatoon ]

Education

MSc collaborative probram in Biostatistics, School of Public Health, University of Saskatchewan, Canada (2020-present)

• Coursework: Epidemiology I/II, Current Biostatistical Methods and Computer Applications, Mathematical Statistics and Inference, Complex Survey Data Analysis, Advanced Topics in Clinical Trials, Linear Models
• Thesis: predicting multiple diagnoses using deep learning. (ongoing)

BSc in Environment, Sungshin Women’s University, South Korea (2013-2016, graduated)

• Coursework in biological and chemical science and environmental sustainability.

Research Experience

Researcher, Clinical Trial Center/Pharmacovigilence Center in Ajou University Medical Center (Nov 2017 - Apr2020)

• Performed statistical analysis using Electronic Medical Records (EMR) data and public health data for retrospective study.
• Executed data management by projects and laboratory results and handled backup and recovery.
• Performed User Acceptance Testing (UAT) to ensure that web-based Case Report Form(CRF) satisfied required function and worked well.
• Data management/analysis using R, SPSS, and SQL.

Publications

• Jeong H, Kim H, Yoon J, Go K, Gwak J. OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images. Int J Imaging Syst Technol. n/a(n/a). doi:https://doi.org/10.1002/ima.22742
  • Classification of COVID-19 patients with transfer learning (ResNet50)
  • Software: python 3.7, PyTorch 1.7, CUDA 10.2
  • Hardware: i7-10750h 8-core, GeForce RTX 2070, 16G memory
  • http://github.com/hwkim89/OVASO
• Rhyou HI, Doo GE, Yoon J, et al. Clinical characteristics and risk factors for cefaclor-induced immediate hypersensitivity: a retrospective observation at two university hospitals in Korea. Allergy Asthma Clin Immunol. 2021;17(1):20. Published 2021 Feb 15. doi:10.1186/s13223-021-00523-8
  • Exploratory analysis was conducted to corroborate the risk factors for cefaclor-induced adverse reaction.
  • Software: R, SPSS
• Ye YM, Yoon J, Woo SD, et al. Erratum: Clustering the Clinical Course of Chronic Urticaria Using a Longitudinal Database: Effects on Urticaria Remission. Allergy Asthma Immunol Res. 2021;13(4):675. doi:10.4168/aair.2021.13.4.675
  • K-medoid clustering of 3months of clinical course of CU patients into four.
  • Software: R, SQL
  • Code is not available according to the privacy policy of the hospital
• Woo SD, Yoon J, Doo GE, et al. Common causes and characteristics of adverse drug reactions in older adults: a retrospective study. BMC Pharmacol Toxicol. 2020;21(1):87. Published 2020 Dec 10. doi:10.1186/s40360-020-00464-9
  • Exploratory analysis was conducted to demonstrate the adverse drug reactions in older adults
  • Software: R, SPSS
  • Code is not available according to the privacy policy of the hospital
• Lee MS, Yoon J, Kim J, et al. Health-Related Utility of EQ-5D in Korean Adults With Chronic Urticaria: Mapping From Urticaria Outcome Measures. Allergy Asthma Immunol Res. 2020;12(4):599-607. doi:10.4168/aair.2020.12.4.599
  • Predictive model was developed for assessing EQ-5D of the CU patients.
  • Software: SPSS
  • Code is not available according to the privacy policy of the hospital

• Lee Y, Chang HY, Kim SH, et al. A Prospective Observation of Psychological Distress in Patients With Anaphylaxis. Allergy Asthma Immunol Res. 2020;12(3):496-506. doi:10.4168/aair.2020.12.3.496

• Lee E, Jeong K, Shin YS, et al. Causes of food allergy according to age and severity: A recent 10-year retrospective study from a single tertiary hospital. Allergy Asthma Respir Dis. 2020;8(2):80-88.

Skills

Software: R, Python, SAS, STATA, SQL, git

Languages

Native in Korean, Fluent in English

Awards

• Most Outstanding Honors Graduate in Sungshin Women’s University
• Honors Scholarship in Sungshin Women’s University
• 2019 Big Data Platform Idea Contest Grand Prize, Korea Big Data service society

Personal Projects

• Dacon Computer Vision Learning Contest
  • Predicting numbers obscured by alphabets as MNIST transformed dataset (41 out of 840 teams)
  • Project Description
• Toy projects in AIFFEL
  • Computer Vision, Natural Language Processing

Relevent non-degree courses

• AI Image Process, Modulabs, Seoul, Korea (Jul 2020 - Dec 2020)
• Neural Networks and Deep Learning/Improving Deep Neural Networks, Coursera (May 2018 - Jun 2018)
• Java-based training, ITWILL, Seoul, Korea (Mar 2017 - Sep 2017)