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  <title>Repository Collection:</title>
  <link rel="alternate" href="http://schca-ir.schmc.ac.kr/handle/2022.oak/111" />
  <subtitle />
  <id>http://schca-ir.schmc.ac.kr/handle/2022.oak/111</id>
  <updated>2026-11-15T13:48:11Z</updated>
  <dc:date>2026-11-15T13:48:11Z</dc:date>
  <entry>
    <title>Impact of the mental health law revision restricting hospitalization on healthcare utilization in South Korea using interrupted time series analysis</title>
    <link rel="alternate" href="http://schca-ir.schmc.ac.kr/handle/2022.oak/5038" />
    <author>
      <name>Hyunkyu Kim</name>
    </author>
    <author>
      <name>Seung Hoon Kim</name>
    </author>
    <author>
      <name>Suk-Yong Jang</name>
    </author>
    <author>
      <name>Sung-In Jang</name>
    </author>
    <author>
      <name>Suk Kyoon An</name>
    </author>
    <author>
      <name>Eun-Cheol Park</name>
    </author>
    <id>http://schca-ir.schmc.ac.kr/handle/2022.oak/5038</id>
    <updated>2026-10-28T02:26:42Z</updated>
    <published>2023-12-31T15:00:00Z</published>
    <summary type="text">Title: Impact of the mental health law revision restricting hospitalization on healthcare utilization in South Korea using interrupted time series analysis
All Author(s): Hyunkyu Kim; Seung Hoon Kim; Suk-Yong Jang; Sung-In Jang; Suk Kyoon An; Eun-Cheol Park
Abstract: To reduce long hospitalization durations and the high rate of compulsory psychiatric hospitalization in Korea, a revision of the Mental Health Welfare law was passed and implemented in 2017. This study quantitatively analyzed changes in hospitalization use behavior of patients with psychotic and mood disorders after revision of the Mental Health Welfare law in South Korea. The intervention time was June 2017. Data from the National Health Insurance claims were used. Participants were all patients with hospital visits involving psychotic disorders and mood disorders. We used the interrupted time-series method with segmented regression. In patients with psychotic disorders, admission decreased after the law revision. The average inpatient length of hospitalization decreased immediately after the revision, leading to a long-term decrease. Emergency room visits increased following the revision, and admission through the emergency room also increased. In patients with mood disorders, admission decreased both immediately and over the long-term after the revision. Additionally, the average inpatient length of hospitalization decreased immediately, with no significant change observed in the long term. Emergency room visits increased following the revision. Following the law revision, patients with psychiatric disorders showed a decrease in hospital admissions and length of hospital stay. However, an increasing trend in emergency room visits was identified, suggesting an increase in crisis situations. These findings indicate the need to reduce admissions and length of hospitalization while also protecting the rights of patients with psychiatric disorders. System improvements are thus necessary to prevent an increase in crisis situations and ensure appropriate treatment.</summary>
    <dc:date>2023-12-31T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Optic Neuritis as First Manifestation of Multiple Sclerosis: A Case Report</title>
    <link rel="alternate" href="http://schca-ir.schmc.ac.kr/handle/2022.oak/5034" />
    <author>
      <name>Hoon Dong Kim</name>
    </author>
    <author>
      <name>Jai Ho Choi</name>
    </author>
    <id>http://schca-ir.schmc.ac.kr/handle/2022.oak/5034</id>
    <updated>2026-10-06T00:56:09Z</updated>
    <published>2011-12-31T15:00:00Z</published>
    <summary type="text">Title: Optic Neuritis as First Manifestation of Multiple Sclerosis: A Case Report
All Author(s): Hoon Dong Kim; Jai Ho Choi
Abstract: Optic neuritis is one of the most important clinical manifestation associated with multiple sclerosis. We experienced a case of retrobulbar optic neuritis as the first manifestation of multiple sclerosis in young man without specific neurologic symptom or sign. A 18-years-old man suffered from loss of vision in the left eye before a week was visited our hospital. He had relative afferent pupillary defect, color blindness, and non-specific visual field defect without optic disc swelling. On the other hand, the patient didn't present any neurologic symptoms including headache, motor weakness, or paresthesia. On T2-weighted images of the brain magnetic resonance imaging (MRI) scan, multiple lesions with high signal density were found on cerebral hemisphere, pons, and medulla. As a result, the patient was diagnosed as multiple sclerosis, and the treatment with high dose steroid was started. We should keep in mind that multiple sclerosis can be revealed as optic neuritis without other neurologic symptom or sign, and meticulous evaluation is needed for the patients with optic neuritis.</summary>
    <dc:date>2011-12-31T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship</title>
    <link rel="alternate" href="http://schca-ir.schmc.ac.kr/handle/2022.oak/5033" />
    <author>
      <name>Jaemin Son</name>
    </author>
    <author>
      <name>Joo Young Shin</name>
    </author>
    <author>
      <name>Seo Taek Kong</name>
    </author>
    <author>
      <name>Jeonghyuk Park</name>
    </author>
    <author>
      <name>Gitaek Kwon</name>
    </author>
    <author>
      <name>Hoon Dong Kim</name>
    </author>
    <author>
      <name>Kyu Hyung Park</name>
    </author>
    <author>
      <name>Kyu-Hwan Jung</name>
    </author>
    <author>
      <name>Sang Jun Park</name>
    </author>
    <id>http://schca-ir.schmc.ac.kr/handle/2022.oak/5033</id>
    <updated>2026-10-06T00:56:09Z</updated>
    <published>2022-12-31T15:00:00Z</published>
    <summary type="text">Title: An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship
All Author(s): Jaemin Son; Joo Young Shin; Seo Taek Kong; Jeonghyuk Park; Gitaek Kwon; Hoon Dong Kim; Kyu Hyung Park; Kyu-Hwan Jung; Sang Jun Park
Abstract: The identification of abnormal findings manifested in retinal fundus images and diagnosis of ophthalmic diseases are essential to the management of potentially vision-threatening eye conditions. Recently, deep learning-based computer-aided diagnosis systems (CADs) have demonstrated their potential to reduce reading time and discrepancy amongst readers. However, the obscure reasoning of deep neural networks (DNNs) has been the leading cause to reluctance in its clinical use as CAD systems. Here, we present a novel architectural and algorithmic design of DNNs to comprehensively identify 15 abnormal retinal findings and diagnose 8 major ophthalmic diseases from macula-centered fundus images with the accuracy comparable to experts. We then define a notion of counterfactual attribution ratio (CAR) which luminates the system's diagnostic reasoning, representing how each abnormal finding contributed to its diagnostic prediction. By using CAR, we show that both quantitative and qualitative interpretation and interactive adjustment of the CAD result can be achieved. A comparison of the model's CAR with experts' finding-disease diagnosis correlation confirms that the proposed model identifies the relationship between findings and diseases similarly as ophthalmologists do.</summary>
    <dc:date>2022-12-31T15:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Ischemic Complication after Intra-arterial Thrombolysis for a Patient with Central Retinal Artery Occlusion: Case Report</title>
    <link rel="alternate" href="http://schca-ir.schmc.ac.kr/handle/2022.oak/5030" />
    <author>
      <name>Hyo Sin Kim</name>
    </author>
    <author>
      <name>Hoon Dong Kim</name>
    </author>
    <id>http://schca-ir.schmc.ac.kr/handle/2022.oak/5030</id>
    <updated>2026-10-06T00:56:08Z</updated>
    <published>2024-12-31T15:00:00Z</published>
    <summary type="text">Title: Ischemic Complication after Intra-arterial Thrombolysis for a Patient with Central Retinal Artery Occlusion: Case Report
All Author(s): Hyo Sin Kim; Hoon Dong Kim
Abstract: Purpose: To report a case of foveal ischemic complication case following an intra-arterial thrombolysis (IAT) for a patient with central retinal artery occlusion (CRAO).&#xD;
Case summary: A 23-year-old male patient presented with a sudden painless visual loss in the right eye that began three hours earlier. He had no documented medical history of diabetes or hypertension. Initially, his best-corrected visual acuity (BCVA) in the right eye was counting fingers at 30 cm. The fundus examination revealed an ischemic retina on the posterior pole with a cherry-red spot sign on the posterior pole. Fundus fluorescein angiography (FFA) demonstrated markedly elongated arm-to-retina time and delayed retinal vascular filling. Optical coherence tomography (OCT) presented retinal swelling with hyperreflectivity. Emergency IAT was performed based on the diagnosis of CRAO. Consecutive FFA on the day after the intervention showed improved arm-to-retina time; however, multiple thrombi with capillary dropout in the foveal area were observed. His BCVA was reduced to hand motion, and retinal swelling with hyperreflectivity has worsened on OCT. Macular atrophy on OCT progressed, and BCVA did not recover despite additional treatments, including anterior chamber paracentesis and anticoagulant medication.&#xD;
Conclusions: This case suggests that ischemic maculopathy occurred after IAT in a patient with CRAO. It is presumed that dissolved thrombi caused CRAO and then migrated to the capillaries in the macular area after the IAT. Therefore, the possibility of ischemic maculopathy caused by migrating thrombi should be considered, and meticulous fundus examination and follow-up are required in patients undergoing endovascular intervention for CRAO.</summary>
    <dc:date>2024-12-31T15:00:00Z</dc:date>
  </entry>
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