Ji Woong Kim

ORCID: 0000-0003-0593-0461
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About
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Research Areas
  • Cardiac Arrest and Resuscitation
  • ZnO doping and properties
  • Transition Metal Oxide Nanomaterials
  • Copper-based nanomaterials and applications
  • Emergency and Acute Care Studies
  • Machine Learning in Healthcare
  • Trauma and Emergency Care Studies
  • Gas Sensing Nanomaterials and Sensors
  • Blockchain Technology Applications and Security
  • Privacy, Security, and Data Protection
  • Artificial Intelligence in Healthcare and Education
  • Sensor Technology and Measurement Systems
  • Pharmacovigilance and Adverse Drug Reactions
  • Physical Education and Gymnastics
  • Robot Manipulation and Learning
  • IoT and Edge/Fog Computing
  • Advanced Measurement and Metrology Techniques
  • Educational Systems and Policies
  • Hand Gesture Recognition Systems
  • Exercise and Physiological Responses
  • Internet of Things and Social Network Interactions
  • Human Pose and Action Recognition
  • Magnetic Properties and Synthesis of Ferrites
  • Clinical Reasoning and Diagnostic Skills
  • Pharmacy and Medical Practices

Johns Hopkins University
2024

Korea University
2023

Samsung (South Korea)
2020-2022

Sungkyunkwan University
2020-2022

Kyungpook National University
2018-2019

Korea Institute of Industrial Technology
2017

Pusan National University
2014-2016

Kyonggi University
2013

Chung Cheong University
1999

We have investigated strong optical nonlinearity of monolayer MoS2(1–x)Se2x across the exciton resonance, which is directly tunable by Se doping. The quality alloys prepared chemical vapor deposition verified atomic force microscopy, Raman spectroscopy, and photoluminescence analysis. crystal symmetry all our essentially D3h, as confirmed polarization-dependent second-harmonic generation (SHG). spectral structure resonance sampled wavelength-dependent SHG (λ = 1000–1800 nm), where red-shifts...

10.1021/acsphotonics.6b00530 article EN ACS Photonics 2016-12-02

Hospitals provide a considerable amount of questionnaires to patients, and their result data can be one the significant measures check patient's current health. In many cases, however, such utilization in another kind healthcare services is unsatisfactory because patients cannot manage by themselves. We propose blockchain-based medical questionnaire management system for sharing. This guarantees integrity using characteristics blockchain. Furthermore, this interoperable with other systems it...

10.1109/bibm.2018.8621154 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2018-12-01

This study aims to introduce a novel blockchain-applied personal health records (PHR) application and validate its user experience. The system transmits the part corresponding patient’s information off-chain prevents data forgery falsification by storing encrypted on-chain. Patients may easily trace opt-in opt-out history of their consent dynamically store for exchange on blockchain. A mixed-method using questionnaire, in-depth interviews, usability evaluation were conducted 30 participants....

10.3390/app12041847 article EN cc-by Applied Sciences 2022-02-10

A one-pot hydrothermal synthesis approach was developed to prepare FeSO<sub>4</sub>·(H<sub>2</sub>O)–graphene oxide (GO) nanosheets. Au nanoparticles were immobilized onto this support, giving Au/Fe<sub>2</sub>O<sub>3</sub>–GO nanocomposites.

10.1039/c4ra13989e article EN RSC Advances 2014-12-22

Medication errors are one of the problems to be solved not only in Korea but also across world. To prevent a medication accident advance, comprehensive management individual history is essential. Currently, hospital-centric Personal Health Record system, if patient prescribed medicines at multiple hospitals, he/she needs go hospital where medicine was get corresponding such as prescription or medical certification record information on his/her own. Alternatively, This very time consuming,...

10.1109/bibm47256.2019.8983032 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2019-11-01

The integration of large language models (LLMs) into the medical field has gained significant attention due to their promising accuracy in simulated clinical decision-making settings. However, is more complex than simulations because physicians' decisions are shaped by many factors, including presence cognitive bias. degree which LLMs susceptible same biases that affect human clinicians remains unexplored. Our hypothesis posits when confronted with questions containing biases, they will...

10.48550/arxiv.2402.08113 preprint EN arXiv (Cornell University) 2024-02-12

Oxygen post-annealing effects on tin (Sn) doped indium oxide (ITO) film are investigated with various analytical tools as a function of temperature, including in situ XRD, ambient pressure XPS (AP-XPS), and Hall measurement. As the annealing temperature increases up to 200 °C under oxygen 100 mTorr, XRD shows evidence crystallization while AP-XPS reveals formation vacancy Sn4+ states surface. In addition, mobility ITO thin is increased increases, supporting results both AP-XPS. The...

10.1063/1.4968010 article EN Journal of Applied Physics 2016-11-28

Background Out-of-hospital cardiac arrest (OHCA) is a serious public health issue, and predicting the prognosis of OHCA patients can assist clinicians in making decisions about treatment patients, use hospital resources, or termination resuscitation. Objective This study aimed to develop time-adaptive conditional prediction model (TACOM) predict clinical outcomes every minute. Methods We performed retrospective observational using data from Korea Registry South Korea. In this study, we...

10.2196/28361 article EN cc-by Journal of Medical Internet Research 2021-05-31

Understanding human hand usage is one of the richest information source to recognize manipulation actions. Since humans use various tools during actions, grasp recognition gives important cues figure out humans' intention and tasks. Earlier studies analyzed grasps with positions joints by attaching sensors, but since these types sensors prevent from naturally conducting visual approaches have been focused in recent years. Convolutional neural networks require a vast annotated dataset, but,...

10.1109/cvprw.2017.67 article EN 2017-07-01

This study investigated the effects of whole-body circuit training using a weighted vest on plasma resistin, cardiovascular disease risk factors, and cardiorespiratory fitness for normal-weight obese women. In this study, thirty- six women were divided into three groups: Weighted Vest Circuit Training (WVCT) (n = 12), Body Weight (BWCT) Control (CON) 12). Whole-body was conducted times week eight weeks to compare analyze before after training. Although there no significant baseline...

10.20944/preprints202308.1456.v1 preprint EN 2023-08-22

As the cash transport is increased due to demands for ATM(Automatic Teller Machine) service, there have been several incidents of extorting vehicles since 2003. These happened because guidelines escort security work were not obeyed. Therefore, it would be necessary technical researches protecting vehicles.

10.1109/icitcs.2013.6717892 article EN International Conference on IT Convergence and Security, ICITCS 2013-12-01

Background: OHCA patients use lots of hospital resources, and predicting prognosis is important in decision making for patient treatment. However, no algorithm can predict survival to discharge rates real-time. Aim: This study aimed develop validate the time adaptive model real-time outcome prediction patients. Methods: We performed a retrospective observational using data from Korea Registry South Korea. In this study, we exclude with trauma, experienced ROSC before arriving ED, who did not...

10.1161/circ.142.suppl_4.315 article EN Circulation 2020-11-09

<sec> <title>BACKGROUND</title> Out-of-hospital cardiac arrest (OHCA) is a serious public health issue, and predicting the prognosis of OHCA patients can assist clinicians in making decisions about treatment patients, use hospital resources, or termination resuscitation. </sec> <title>OBJECTIVE</title> This study aimed to develop time-adaptive conditional prediction model (TACOM) predict clinical outcomes every minute. <title>METHODS</title> We performed retrospective observational using...

10.2196/preprints.28361 preprint EN 2021-03-02
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