Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
Development of machine learning model for diagnostic disease prediction based on laboratory tests
DJ Park, MW Park, H Lee, YJ Kim, Y Kim, YH Park - Scientific reports, 2021 - nature.com
The use of deep learning and machine learning (ML) in medical science is increasing,
particularly in the visual, audio, and language data fields. We aimed to build a new …
particularly in the visual, audio, and language data fields. We aimed to build a new …
Pentagalloyl glucose and its functional role in vascular health: Biomechanics and drug-delivery characteristics
Pentagalloyl glucose (PGG) is an elastin-stabilizing polyphenolic compound that has
significant biomedical benefits, such as being a free radical sink, an anti-inflammatory agent …
significant biomedical benefits, such as being a free radical sink, an anti-inflammatory agent …
Use of machine learning for prediction of patient risk of postoperative complications after liver, pancreatic, and colorectal surgery
Background Surgical resection is the only potentially curative treatment for patients with
colorectal, liver, and pancreatic cancers. Although these procedures are performed with low …
colorectal, liver, and pancreatic cancers. Although these procedures are performed with low …
[HTML][HTML] Application and utility of boosting machine learning model based on laboratory test in the differential diagnosis of non-COVID-19 pneumonia and COVID-19
SM Baik, KS Hong, DJ Park - Clinical Biochemistry, 2023 - Elsevier
Abstract Background Non-Coronavirus disease 2019 (COVID-19) pneumonia and COVID-
19 have similar clinical features but last for different periods, and consequently, require …
19 have similar clinical features but last for different periods, and consequently, require …
Development of machine-learning model to predict COVID-19 mortality: application of ensemble model and regarding feature impacts
SM Baik, M Lee, KS Hong, DJ Park - Diagnostics, 2022 - mdpi.com
This study was designed to develop machine-learning models to predict COVID-19 mortality
and identify its key features based on clinical characteristics and laboratory tests. For this …
and identify its key features based on clinical characteristics and laboratory tests. For this …
Predicting abdominal aortic aneurysm growth using patient-oriented growth models with two-step Bayesian inference
Objective For small abdominal aortic aneurysms (AAAs), a regular follow-up examination is
recommended every 12 months for AAAs of 30–39 mm and every six months for AAAs of 40 …
recommended every 12 months for AAAs of 30–39 mm and every six months for AAAs of 40 …
Deep learning approach for early prediction of COVID-19 mortality using chest X-ray and electronic health records
SM Baik, KS Hong, DJ Park - BMC bioinformatics, 2023 - Springer
Background An artificial-intelligence (AI) model for predicting the prognosis or mortality of
coronavirus disease 2019 (COVID-19) patients will allow efficient allocation of limited …
coronavirus disease 2019 (COVID-19) patients will allow efficient allocation of limited …
Discovering panel of autoantibodies for early detection of lung cancer based on focused protein array
D Jiang, X Zhang, M Liu, Y Wang, T Wang… - Frontiers in …, 2021 - frontiersin.org
Substantial studies indicate that autoantibodies to tumor-associated antigens (TAAbs) arise
in early stage of lung cancer (LC). However, since single TAAbs as non-invasive biomarkers …
in early stage of lung cancer (LC). However, since single TAAbs as non-invasive biomarkers …
Muscle plays a more superior role than fat in bone homeostasis: A cross-sectional study of old Asian people
C Liu, PY Wong, X Tong, SKH Chow… - Frontiers in …, 2023 - frontiersin.org
Objectives The aim of this study was to discover the role of fat and muscle in bone structures,
as well as the relationship between obesity and sarcopenia on age-related osteoporosis …
as well as the relationship between obesity and sarcopenia on age-related osteoporosis …