• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.687-689
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• 2024

위암은 전 세계적인 주요 건강문제이며, 근치적 위절제술은 위암의 표준치료이다. 근치적 위절제술 후 치료목표는 합병증 발생을 낮춰 병전 상태로 빠르게 회복하는 데 있다. 따라서, 근치적 위절제술 후 합병증 발생 여부를 선별하여 예측할 수 있는 성능이 좋은 모델을 개발하는 것은 위암환자의 회복에 매우 중요하다. 랜덤포레스트 모델은 여러 개의 결정트리를 활용한 배깅 방식의 대표적인 알고리즘으로 의료 데이터를 기반으로 한 예측에 있어 뛰어난 성능을 보여 주었다. 그러나 실제 데이터는 불균형이 빈번하게 발생하여 모델의 예측 성능에 영향을 미치므로, 최적의 분류 임계값을 설정하여 다수 클래스에 대한 편향을 줄이는 것이 중요하다. 따라서, 본 연구는 최근 10년 간 일개 대학병원의 전자의무기록 데이터를 활용하여 근치적 위절제술 후 합병증 발생을 예측하는 랜덤포레스트 모델을 개발하고, 임계값 설정을 통해 불균형 데이터에 대한 모델의 성능을 평가하고자 한다.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.1
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• pp.50-59
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• 2019

Objectives : Many of the patients with type 2 diabetes are associated with sleep problems, and the rate of insomnia is known to be higher in the general population. The aims of this study were to know the frequency and clnical characteristics of insomnia, and related variables to insomnia in patients diagnosed with type 2 diabetes. Methods : For 99 patients from 18 to 80 years of age (65 males and 34 females) with type 2 diabetes, interviews were performed. Total sleep time and sleep latency was evaluated. Insomnia was evaluated using the Korean Version of the Insomnia Severity Index (ISI-K). Severity of depressive symptoms were evaluted using the Korean version of the Hamilton Depression Scale (K-HDRM). According to the cutoff score of 15.5 on the ISI-K, subjects were divided into the group of type 2 diabetics with insomnia (N=34) and those without insomnia (N=65) at first, and then statistically analyzed. Results : TInsomnia could be found in 34.34% of type 2 diabetics. Type 2 diabetics with insomnia had significantly more single or divorced (respectively 11.8%, p<0.05), higher total scores of the K-HDRS ($11.76{\pm}5.52$, p<0.001), shorter total sleep time ($5.35{\pm}2.00hours$, p<0.001), and longer sleep latency ($50.29{\pm}33.80minutes$, p<0.001). The all item scores of the ISI-K in type 2 diabetics with insomnia were significantly higher than those in type 2 diabetics without insomnia, that is, total ($18.38{\pm}2.69$), A1 (Initial insomnia) ($2.97{\pm}0.76$), A2 (Middle insomnia) ($3.06{\pm}0.69$), A3 (Terminal insomnia) ($2.76{\pm}0.61$), B (Satisfaction) ($3.18{\pm}0.72$), C (Interference) ($2.09{\pm}0.97$), D (Noticeability) ($2.12{\pm}1.09$) and E (Distress) ($2.21{\pm}0.81$) (respectively p<0.001). Variables associated with insomnia in type 2 diabetics were as following. Age had significant negative correlation with A3 items of the ISI-K (${\beta}=-0.241$, p<0.05). Total scores of the K-HDRS had significant positive correlation, while total sleep time had significant negative correlation with all items of the ISI-K (respectively p<0.05). Sleep latency had significant positive correlation with total,, A1, B and E item scores of the ISI-K (respectively p<0.05). Conclusions : Insomnia was found in about 1/3 of type 2 diabetics. According to the presence of insomnia, clinical characteristics including sleep quality as well as quantity seemed to be different. Because depression seemed to be correlated with insomnia, clinicians should pay attention to early detection and intervention of depression among type 2 diabetics.

• Information Systems Review
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• v.7 no.1
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• pp.275-295
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• 2005

Changes in business environment caused by globalization of the world economy and the beginning of the knowledge society forced hospitals to equip with tools for the enhanced competitiveness. In other words, hospitals must aim three targets such as acquisition of advanced medical skills and equipments, improvement of service level for patients, and achievement of superior managerial performance simultaneously. This study has been done to suggest a way to reduce the possibility of hospital bill claim reduction as an alternative for the achievement of superior managerial performance. If the reduction rate of hospital bill claim is high, it will put negative impact on the hospital's revenue stream and hospital's reliability. Thus, if they want to stay competitive, hospitals need to device ways to cut the reduction rate as much as possible. In this study, a prototype system has been developed and implemented to check the possibility to cut the reduction rate through deep analysis of causes of reduction. The prototype first developed utilizing data mining techniques and the relation rules algorithm. Then the prototype was tested its performance using the D hospital's live data.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.1
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• pp.8-19
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• 2020

Objectives : The purpose of this study was to examine whether the MMPI-2-RF serves as a useful tool to differentiate between the subtypes of high risk of suicide among psychiatric outpatients. Methods : Patients were recruited from the department of psychiatry of university hospital. Participants were diagnosed using DSM-5 criteria by board certified psychiatrists. Their medical records were reviewed retrospectively. And participants were put into 4 groups (Suicide ideation, Suicide attempt, Non-suicidal self-injury, and general psychiatric diagnosis as a control group). For statistical comparison, the MANCOVA with gender as a covariate was used. Results : The results indicated that as previous research with non-clinical sample suggested, psychiatric outpatients with high suicide risk also have significantly higher Emotional/Internalizing Dysfunction, Helplessness/Hopelessness, Suicidal/Death Ideation, Demoralization, Cognitive complaints, Cynicism, Dysfunctional negative thoughts than general psychiatric patients group. But group differences within the high suicide risk patients have not been observed. However, suicide attempt group and NSSI group has higher Behavioral/Externalizing Dysfunction, RC4, AGG than general psychiatric patients group. But there was no difference between suicidal idea group and general psychiatric patients group. Conclusions : There was no group difference observed between all three subtypes, which mean the MMPI2-RF may not be the useful diagnostic tool to navigate high suicide risk subtypes. Even though there was no difference observed in the suicide ideation group, suicide attempt group and NSSI group have higher aggression and externalization. So those indexes could serve as a useful marker to investigate riskiness of suicide related symptoms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4031-4039
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• 2015

The problems related with blood supply shortage and the stability of blood transfusion are on the rise, as it is expected that the blood doners will decrease but the blood use amount for aged population will increase, owing to low birth and aged population increase. The purpose of this study is to analyze the hospital characteristics which affect patients receiving and non-receiving blood transfusion for the knee and hip total replacement arthroplasty. Data were collected from Health Insurance Review and Assessment Service's 2011 sample data, and 5,370 inpatients were abstracted from them. Logistic regression analysis was performed, using SPSS 20. Independent variables used are hospital characteristics variables and patient characteristics variables. Hospital characteristics variables are hospital type, ownership, residence and the number of usable beds, and patient characteristics variables are gender, age, severity, type of anesthesia, main diagnosis, whether or not of anemia and insurance class. At the result of this study, it was found that hospital type, region, gender, age, severity, main diagnosis and whether or not of anemia were the factors that mostly affected the blood transfusion for knee arthroplasty. And hospital type, residence, gender, age, severity, type of anesthesia and whether of not of anemia were the factors that mostly affected the blood transfusion for hip arthroplasty. In addition to that, it is expected that this research which analyzed the present state of blood transfusion and its influence factors are cost effective, and would make a good use of preliminary data for good quality of medical service.

• Journal of Legislation Research
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• no.44
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• pp.465-485
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• 2013

Mit dem Patientenrechtegesetz, das im $Fr{\ddot{u}}jahr$ 2013 in Kraft treten soll, $f{\ddot{u}}rt$ der Gesetzgeber eine jahrzehntelange Diskussion um die Rechte von Patientinnen und Patienten zu einem guten Ende. Demnach geht es darum, Transparenz ${\ddot{u}}ber$ die bereits heute bestehenden, umfangreichen Rechte der Patientinnen und Patienten herzustellen, die $tats{\ddot{a}}chliche$ Durchsetzung dieser Rechte zu verbessern, zugleich Patientinnen und Patienten im Sinne einer verbesserten Gesundheitsversorgung zu $sch{\ddot{u}}tzen$ und insbesondere im Fall eines Behandlungsfehlers $st{\ddot{a}}rker$ zu $unterst{\ddot{u}}tzen$. In Verfolgung dieser Zwecke $schl{\ddot{a}}gt$ die Bundesregierung ein Artikelgesetz vor, dessen wesentliche Teile das BGB und das Recht der sozialen Krankenversicherung betreffen. In das BGB soll ein neuer Abschnitt ${\ddot{u}}ber$ den "Behandlungsvertrag" $eingef{\ddot{u}}gt$ werden. Als Standort ist der ${\ddot{U}}bergang$ vom Dienstin das Werkvertragsrecht vorgesehen, der um die neu zu schaffenden Vorschriften der ${\S}{\S}$ 630 a bis 630 h BGB erweitert wird. Die acht Paragrafen enthalten im Kern eine Kodifikation der von der Rechtsprechung entwickelten $Grunds{\ddot{a}}tze$ zur Arzthaftung. Der Beitrag stellt die bisherige politische Diskussion des Patientenrechtegesetzes vor (II). Im Anschluss daran wird die einzige wesentliche Neuerung des Gesetzes $n{\ddot{a}}her$ untersucht und werden Regelungsziel und Grundkonzept der Kodifikation einer $Pr{\ddot{u}}fung$ unterzogen (III). $Schlie{\ss}lich$ werden einen politischen Ausblick auf die neuen Herausforderungen und die Bewertung der $gegenw{\ddot{a}}rtigen$ Lage und der erwarteten Entwicklung gezogen (IV).

• Journal of the Korean society of biological therapies in psychiatry
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• v.24 no.3
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• pp.202-208
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• 2018

Objectives : The purpose of this study was to investigate the differences in forensic demographic characteristics, interpersonal problems and personality disorder between early and late onset criminal patients with schizophrenia. Methods : The participants included 187 inpatients with schizophrenia who had committed crimes. They filled out the Korean Inventory of Interpersonal Problem Personality Disorder Scales and Psychopathic Personality Inventory-Revised. They were divided into early onset group and late onset group according to onset age of schizophrenia at 26 years old(under 26 versus 26 and older) and forensic demographic characteristics, interpersonal problem and personality disorders including psychopathy were compared between two groups. Results : There were no differences in gender, education years and family history between the two groups. Early onset group was associated with lower age, earlier onset of age and earlier age at the time of the crime. Duration from onset to diagnosis was not different between the two groups. Duration from onset to crime and after diagnosis to crime was shorter in late onset group. There were no differences between the two groups in the interpersonal problems, personality disorder and psychopathic personality evaluation. Conclusion : These results suggested that there may be forensic demographic differences related to crime between early and later onset schizophrenia. Psychiatrists should consider the age at onset of schizophrenia when assessing the risk of violence in patients with schizophrenia. In the future. it will be needed other study of age classification such as admixture analysis.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.141-147
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• 2022

In a broad sense, the definition of digital health care is an industrial area that manages personal health and diseases through the convergence of the health care industry and ICT. In a narrow sense, various medical technologies are used to manage medical services to improve patient health. This paper aims to provide design guidelines so that artificial intelligence technology can be applied stably and efficiently to more diverse digital health care fields in the future by introducing use cases of artificial intelligence and machine learning techniques applied in the digital health care field. For this purpose, in this thesis, the medical field and the daily life field are divided and examined. The two regions have different data characteristics. By further subdividing the two areas, we looked at the use cases of artificial intelligence algorithms according to data characteristics and problem definitions and characteristics. Through this, we will increase our understanding of artificial intelligence technologies used in the digital health care field and examine the possibility of using various artificial intelligence technologies.

• Sleep Medicine and Psychophysiology
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• v.26 no.1
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• pp.23-32
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• 2019

Objectives: Insomnia is not only the most common sleep-related disorder, but also is one of the most important. Knowledge of the comorbidities of insomnia is essential for proper treatment including pharmacological and non-pharmacological methods to prevent disease chronification. This study aimed to determine sleep clinic patients' knowledge of insomnia. Methods: This study recruited 44 patients (24 males and 20 females; mean age $54.11{\pm}16.30years$) from the sleep clinic at National Center for Mental Health. All subjects were asked to complete a self-report questionnaire about their reasons for visiting a sleep clinic and about their knowledge of treatment and comorbidities of insomnia. Results: The reasons for visiting the sleep clinic were insomnia symptoms of daytime sleepiness, irregular sleeping time, nightmares, snoring, and sleep apnea, in that order. Of the responders, 72.7% had a comorbidity of insomnia, and 22.7% showed high-risk alcohol use. In addition, 70.5% of responders chose pharmacological treatment of insomnia as the first option and reported collection of information about treatment of insomnia mainly from the internet and medical staff. More than half (52.3%) of the respondents reported that they had never heard about non-pharmacological treatments of insomnia such as cognitive behavioral treatment (CBT-I) or light therapy. The response rate about comorbidities of varied, with 75% of responders reporting knowledge of the relation between insomnia and depression, but only 38.6% stating awareness of the relation between insomnia and alcohol use disorder. Of the total responders, 68.2% were worried about hypnotics for insomnia treatment, and 70% were concerned about drug dependence. Conclusion: This study showed that patients at a sleep clinic had limited knowledge about insomnia. It is necessary to develop standardized insomnia treatment guidelines and educational handbooks for those suffering from insomnia. In addition, evaluation of alcohol use disorders is essential in the initial assessment of sleep disorders.

• Journal of Internet of Things and Convergence
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• v.8 no.5
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• pp.119-125
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• 2022

With the recent increase in dementia patients due to aging, measures to prevent their wandering behavior and disappearance are urgently needed. To solve this problem, various authentication methods and location detection techniques have been introduced, but the security problem of personal authentication and a system that can check indoor and outdoor overall was lacking. In order to solve this problem, various authentication methods and location detection techniques have been introduced, but it was difficult to find a system that can check the security problem of personal authentication and indoor/outdoor overall. In this study, we intend to propose a system that can identify personal authentication, basic health status, and overall location indoors and outdoors by using wristband-type wearable devices in a private blockchain environment. In this system, personal authentication uses ECG, which is difficult to forge and highly personally identifiable, Bluetooth beacon that is easy to use with low power, non-contact and automatic transmission and reception indoors, and DGPS that corrects the pseudorange error of GPS satellites outdoors. It is intended to detect wandering behavior and abnormal signs by locating the patient. Through this, it is intended to contribute to the prompt response and prevention of disappearance in case of wandering behavior and abnormal symptoms of dementia patients living at home or in nursing homes.