Jiwon Shinn's research while affiliated with Catholic University of Korea and other places
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Publications (11)
Background: The relationship between metformin intake and prostate cancer incidence remains unclear. Therefore, we examined the correlation between prostate cancer and metformin use.Methods: The subjects were diabetes patients aged ≥50 years who had been diagnosed with prostate cancer and had undergone surgery at Seoul St. Mary's Hospital. Groups t...
Background: Few studies have investigated the cancer-preventive effects of statins, which are known to protect against cardio-cerebrovascular diseases. In this study, we analyzed the degree to which pravastatin, a low-potency statin, could prevent cancer.Methods: This retrospective cohort study used data from the Korean National Health Insurance Se...
Background: Liraglutide, a drug used for the management of obesity, has many known side effects. In this study, we developed a predictive model for the occurrence of liraglutide-related side effects using data from electronic medical records (EMRs).Methods: This study included 237 patients from Seoul St. Mary's Hospital and Eunpyeong St. Mary's Hos...
Background:
The most important aspect of a retrospective cohort study is the operational definition (OP) of the disease. We developed a detailed OP for the detection of sodium-glucose cotransporter-2 inhibitors (SGLT2i) related to diabetic ketoacidosis (DKA). The OP was systemically verified and analyzed.
Methods:
All patients prescribed SGLT2i...
Background: Glycated hemoglobin (HbA1c), which reflects the patient's blood sugar level, can only be measured in a hospital setting. Therefore, we developed a model predicting HbA1c using personal information and self-monitoring of blood glucose (SMBG) data solely obtained by a patient.Methods: Leave-one-out cross-validation (LOOCV) was performed a...
Background: Statin-associated muscle symptoms are one of the side effects that physicians should consider when prescribing statins. In this study, creatine kinase (CK) levels were measured following statin prescription, and various factors affecting the CK levels were determined using machine learning.Methods: Changes in the CK were observed every...
Various digital healthcare devices and apps, such as blood glucose meters, blood pressure monitors, and step-trackers are commonly used by patients; however, digital healthcare devices have not been widely accepted in the medical market as of yet. Despite the various legal and privacy issues involved in their use, the main reason for its poor accep...
What is known and objectives:
In Korea, the side effects of sodium-glucose cotransporter 2 inhibitors (SGLT2i) have not been clearly reported, aside from voluntary reporting. We aimed to develop detection algorithms for SGLT2i-related genital tract infections (GTIs) and urinary tract infections (UTIs) via a common data model (CDM), an electronic m...
Citations
... In the case of digital health, it can either be declared dead or resurrected [269,270]. To move digital platforms into everyday use, ensure high engagement by patients and physicians, and ensure reimbursement, it is crucial to differentiate between "nice to have" systems and mandatory systems. ...
... In Korea, a CDM has been used in various clinical fields [13][14][15][16][17][18][19][20][21][22][23][24]: e.g., multi-institutional genomic analysis [13], studies of coronavirus disease 2019 (COVID-19) mortality [14], and studies on public health policy based on medical checkup data [15]. The CDM is used in a wide variety of applications. ...
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... Public health big data is represented by the National Health Insurance Service (NHIS) data 6 and the Health Insurance Review and Assessment Service (HIRA) data. 7 The various studies conducted using the electronic medical records (EMR) data used in hospitals 8,9 are representative examples of private medical big data ( Table 1). The public medical big data provided to researchers lie within the scope of the research topic after undergoing an application process through a system. ...
