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Principal Investigator  
Principal Investigator's Name: YuHyun Choi
Institution: LIKELION
Department: AI Data Analysis
Country:
Proposed Analysis: Six project personnel from educational institutions are planning to create a model that predicts mild dementia for early diagnosis of dementia. Dementia is not easy to treat when an outbreak occurs. Therefore, we are trying to create a predictive model so that early diagnosis can be made before leading to dementia. After early diagnosis, we will verify it with an MRI classification model made by ourselves, learn the hippocampus and cerebral cortex separately through segmentation, and try to convert it into structured data to create a more accurate predictive model.
Additional Investigators  
Investigator's Name: Jeonghyun Oh
Proposed Analysis: Six project personnel from educational institutions are planning to create a model that predicts mild dementia for early diagnosis of dementia. Dementia is not easy to treat when an outbreak occurs. Therefore, we are trying to create a predictive model so that early diagnosis can be made before leading to dementia. After early diagnosis, we will verify it with an MRI classification model made by ourselves, learn the hippocampus and cerebral cortex separately through segmentation, and try to convert it into structured data to create a more accurate predictive model.
Investigator's Name: JiMin Kim
Proposed Analysis: Six project personnel from educational institutions are planning to create a model that predicts mild dementia for early diagnosis of dementia. Dementia is not easy to treat when an outbreak occurs. Therefore, we are trying to create a predictive model so that early diagnosis can be made before leading to dementia. After early diagnosis, we will verify it with an MRI classification model made by ourselves, learn the hippocampus and cerebral cortex separately through segmentation, and try to convert it into structured data to create a more accurate predictive model.
Investigator's Name: Mingi Kim
Proposed Analysis: Six project personnel from educational institutions are planning to create a model that predicts mild dementia for early diagnosis of dementia. Dementia is not easy to treat when an outbreak occurs. Therefore, we are trying to create a predictive model so that early diagnosis can be made before leading to dementia. After early diagnosis, we will verify it with an MRI classification model made by ourselves, learn the hippocampus and cerebral cortex separately through segmentation, and try to convert it into structured data to create a more accurate predictive model.
Investigator's Name: HeuiMook Kim
Proposed Analysis: Six project personnel from educational institutions are planning to create a model that predicts mild dementia for early diagnosis of dementia. Dementia is not easy to treat when an outbreak occurs. Therefore, we are trying to create a predictive model so that early diagnosis can be made before leading to dementia. After early diagnosis, we will verify it with an MRI classification model made by ourselves, learn the hippocampus and cerebral cortex separately through segmentation, and try to convert it into structured data to create a more accurate predictive model.
Investigator's Name: YongHyun Choi
Proposed Analysis: Six project personnel from educational institutions are planning to create a model that predicts mild dementia for early diagnosis of dementia. Dementia is not easy to treat when an outbreak occurs. Therefore, we are trying to create a predictive model so that early diagnosis can be made before leading to dementia. After early diagnosis, we will verify it with an MRI classification model made by ourselves, learn the hippocampus and cerebral cortex separately through segmentation, and try to convert it into structured data to create a more accurate predictive model.