Updates
Read more of my recent posts.
Read more of my recent posts.
Career Profile
Currently based in Bangkok of Thailand, I am working for health care research, with data science concentration. Mainly fascinated with secondary data research, I am enthused to explore why, what, and how we should reuse regarding electronic medical records and data collected for other purposes.
I maintain and manage two large real-world cohorts curated from routine clinical visits data over 13-years period; one including 276,500 hypertensive patients and another including 17,350 patients who underwent abdominal surgery. Two peer-reviewed papers have been published with subsequent studies being conducted.
I majorly code in Python with occasional R. I have experience in medical data wrangling for secondary data research projects, and applying sociodemographic data for screening algorithms/ clinical decision support.
Experiences
Affiliated under the Data Science and Clinical Informatics division of Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital; I perform data extraction, cleaning and engineering of electronic medical records to research ready datasets. I am responsible for two themes under the CEB Data Warehouse project; Hypertension and Surgery.
Affiliated under the Data Science and Clinical Informatics division of Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital; I did my postgraduate research regarding Severe Periodontitis in Thai population under the supervision of Professor Dr. Ammarin Thakkinstian and Dr. Anuchate Pattanateepapon. Factors affecting development of the condition were studied, and four screening models were developed using statistical and machine learning classification models.
Projects
Works
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Effects of sodium-glucose cotransporter-2 inhibitors on chronic kidney disease progression: A multi-state parametric survival model
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External validation and revision of Penn incisional hernia prediction model: A large-scale retrospective cohort of abdominal operations
[GOOGLE SCHOLAR] [pubmed] [fulltext] [mirror]
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Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine-Learning Approaches
[GOOGLE SCHOLAR] [pubmed] [fulltext] [mirror] -
CEB data warehouse showcase
[schedule] [slides1] [slides2] -
Hypertension and Its Associated Complications: A Thai Real-World Clinical Cohort
[poster] [mirror] -
Evaluation of transitions from early hypertension to hypertensive chronic kidney disease, coronary artery disease, stroke and mortality: A Thai real-world data cohort
[GOOGLE SCHOLAR] [pubmed] [fulltext] [mirror]
