Minseop Park

ORCID: 0000-0001-9357-0130
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About
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Research Areas
  • Pressure Ulcer Prevention and Management
  • Hemodynamic Monitoring and Therapy
  • Sepsis Diagnosis and Treatment
  • Wound Healing and Treatments
  • Respiratory Support and Mechanisms
  • Diabetic Foot Ulcer Assessment and Management

The rapid development in big data analytics and the data-rich environment of intensive care units together provide unprecedented opportunities for medical breakthroughs field critical care. We developed validated a machine learning-based model, Pediatric Risk Mortality Prediction Tool (PROMPT), real-time prediction all-cause mortality pediatric units. Utilizing two separate retrospective observational cohorts, we conducted model validation using learning algorithm with convolutional neural...

10.1186/s13054-019-2561-z article EN cc-by Critical Care 2019-08-14

<sec> <title>BACKGROUND</title> A pressure ulcer (PU) is a localized cutaneous injury caused by or shear, which usually occurs in the region of bony prominence. PUs are common hospitalized patients and cause complications including infection. </sec> <title>OBJECTIVE</title> This study aimed to build recurrent neural network-based algorithm predict 24 hours before their occurrence. <title>METHODS</title> analyzed freely accessible intensive care unit (ICU) dataset, MIMIC- III. Deep learning...

10.2196/preprints.33804 preprint EN 2021-09-24
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