MIIC
Medical Intelligence Information R&D Center
Our Project
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01
Development of Real-time Non-face-to-face Cardiovascular Disease Prediction and Monitoring Technology Based on Digital Intelligence Twin
Development of digital intelligent twin platform technology capable of predicting and monitoring cardiovascular diseases and development of personalized digital intelligent twin configuration and disease prediction technology through sensing multiple bio-signals (ECG, pulse, pulse wave transmission speed, oxygen saturation, heart sound, etc.).
02
I-SMS (IoT-Snow Melting System) Development based on IoT
Development of an IoT-based wireless operation system that can be smartly sensed because the removal of snow is delayed because greenhouse farms and roofs are far from their residences.
03
A Study on the Need for Follow-up Observation of Rheumatoid Disease Patients and Clinical Support for Predicting Potential Additional Diseases based on Machine Learning
A study on the necessity of follow-up observation of patients with rheumatoid disease based on machine learning that can prevent and diagnose risk factors in asymptomatic high uric acid hemolysis patients in advance and predict potential disease patients.
04
A Study on Diagnosis (Prediction) of Degenerative Arthritis Using Machine Learning
Machine learning-based prediction of degenerative arthritis and prediction of potential disease patients by measuring the range of eradication operation with the aim of supporting the prediction of degenerative arthritis in arthritis patients over the age of 50.
05
A Study on the Prediction of OLED Pixel Life by Analyzing the Dark Spot Growth Using Artificial Intelligence
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Study on the Prediction of dark Spot Growth Based on Humidity
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Development of a data set and analysis algorithm through the acceleration coefficient of the dark spot growth value according to the humidity based on each pinhole
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Prediction of the lifetime of OLED pixels by predicting the growth value of dark spots using artificial intelligence
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Generate AI OLED Dataset By using FEM (Total of 10114 Dataset)
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Applied on Artificial Intelligence OLED Life Prediction Algorithm Based on Dataset
06
The Development of Robot Based Logistics Systems Applicable to Hospital-wide Environment
Development of hospital logistics multi-robot system to reduce logistics costs and increase logistics efficiency in the hospital's wide-area environment.
07
Development of Data Collection System for Unmanned Marine Environment in Marine Farms
Developing an IoT-based low-cost unmanned remote marine environment data collection device to provide large amounts of fish farm monitoring information in real time to monitor the fish farm environment to present scientific grounds for clean seas and improve productivity of marine products.
08
ENT Project
1. Diagnosis of Sleep Apnea Using ODI Data
Completion of ODI Calculator: Identifying the Number of Events (Occurrences) with Oxygen Desaturation of 3% or More During a 1-Hour Period and Developing an ODI Calculator
2. Diagnosis of Sleep Apnea using STOP-BANG Data
To establish criteria for assigning weights to the STOP-BANG questionnaire, sleep apnea patient survey data was used. Sleep apnea patients were labeled as 1, and non-sufferers as 0. The STOP-BANG questionnaire responses were defined as 1 if applicable, otherwise as 0. This resulted in four distinct cases.
