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Kim, Ho Cheol,Jung, Chi Young,Cho, Deog Gon,Jeon, Jae Hyun,Lee, Jeong Eun,Ahn, Jin Seok,Kim, Seung Joon,Kim, Yeongdae,Kim, Young-Chul,Kim, Jung-Eun,Lee, Boram,Won, Young-Joo,Choi, Chang-Min The Korean Academy of Tuberculosis and Respiratory 2019 Tuberculosis and Respiratory Diseases Vol.82 No.2
Background: Lung cancer is a leading cause of morbidity and mortality worldwide, and the incidence continues to rise. Although many prognostic factors have been identified, the clinical characteristics and outcomes in Korean lung cancer patients are not well defined. Methods: Of the 23,254 new lung cancer cases registered at the Korea Central Cancer Registry in 2013, total 489 patients from 19 hospitals were abstracted by the Korean Central Cancer Registry. The clinical data retrospectively analyzed, patients were followed up until December 2015. Results: The median age was 69 years (interquartile range, 60-74 years); 65.4% were male and 62.1% were ever-smokers. Cough was the most common initial symptom (33.5%); 13.1% of patients were asymptomatic. While squamous cell carcinoma was the most common subtype in male patients (37.2%), adenocarcinoma was the most frequent histological type in all patients (48.7%) and females (76.3%). The majority of patients received treatment (76.5%), which included surgery, radiation therapy, and chemotherapy. Older age (hazard ratio [HR], 1.037), lower body mass index (HR, 0.904), ever-smoker (HR, 2.003), small cell lung cancer (HR, 1.627), and distant metastasis (HR, 3.990) were independent predictors of mortality. Patients without symptoms (HR, 0.387) and without treatment (HR, 0.364) were associated with a favorable outcome in multivariate Cox analysis. Conclusion: Lung cancer in Korea occurs predominantly in elderly patients, with adenocarcinoma being the most frequent subtype. The prognosis was poorer in ever-smokers and older, malnourished, and untreated patients with advanced lung cancer.
인공지능 플랫폼의 지각된 가치에 영향을 미치는 요인 연구 - 신약 연구 분야를 중심으로
김영대 ( Yeongdae Kim ),이원석 ( Won Suk Lee ),김지영 ( Ji-young Kim ),신용태 ( Yongtae Shin ) 한국정보처리학회 2021 한국정보처리학회 학술대회논문집 Vol.28 No.1
전통적인 신약개발은 평균 15년, 2~3조원의 비용이 소요되나 투자 대비 생산성이 지속적으로 감소하고 있어 패러다임 전환이 절실한 상황이다. 인공지능 기술을 활용하면 기간과 비용의 절감효과와 신약 후보물질 탐색의 성공확률이 높아질 것을 기대할 수 있다. 본 연구는 신약 연구 분야를 중심으로 인공지능 플랫폼 도입에 있어서 플랫폼의 가치에 영향을 미치는 요인들을 분석하여 수용 및 확산을 촉진하는데 필요한 시사점을 도출하고자 한다.
인공지능(AI) 플랫폼의 지각된 가치 및 혁신저항 요인이 수용의도에 미치는 영향: 신약 연구 분야를 중심으로
김영대 ( Yeongdae Kim ),김지영 ( Ji-young Kim ),정원경 ( Wonkyung Jeong ),신용태 ( Yongtae Shin ) 한국정보처리학회 2021 정보처리학회논문지. 컴퓨터 및 통신시스템 Vol.10 No.12
오랜 기간과 막대한 비용에도 성공 확률이 낮은 제약·바이오 산업의 생산성 위기를 해결하기 위한 전략으로 전 세계적으로 인공지능과 빅데이터를 활용하려는 사례가 증가하고 있고 가시적인 성과가 나오고 있지만 국내에서는 신약연구에 인공지능 플랫폼 도입에는 관망하는 상황이다. 본 연구는 신약개발을 지원하는 인공지능 플랫폼의 사용과 확산을 촉진하기 위해 도입 및 수용을 견인하는 지각된 가치와 변화에 대한 저항, 수용의도 관계를 검증할 가치기반수용모형과 혁신저항모형 결합 연구모형을 제시하였다. 인공지능 신약개발 플랫폼 사용의도의 연구모형은 지각된 편익으로 유용성, 지식풍부성을, 지각된 희생으로 복잡성, 알고리즘 불투명성을 채택하였고 지각된 가치, 혁신저항의 매개변수로 구성되었다. 실증 결과, 유용성, 지식풍부성, 복잡성, 인공지능 알고리즘의 불투명성이 지각된 가치에 유의미한 영향을 미치고, 유용성, 지식풍부성, 알고리즘의 불투명성, 시험가능성, 인공지능 기술지원환경이 플랫폼 도입에 따른 혁신저항에 유의미한 영향을 미치는 것으로 나타났다. The pharmaceutical industry is experiencing a productivity crisis with a low probability of success despite a long period of time and enormous cost. As a strategy to solve the productivity crisis, the use cases of Artificial Intelligence(AI) and Bigdata are increasing worldwide and tangible results are coming out. However, domestic pharmaceutical companies are taking a wait-and-see attitude to adopt AI platform for drug research. This study proposed a research model that combines the Value-based Adoption Model and the Innovation Resistance Model to empirically study the effect of value perception and resistance factors on adopting AI Platform. As a result of empirical verification, usefulness, knowledge richness, complexity, and algorithmic opacity were found to have a significant effect on perceived values. And, usefulness, knowledge richness, algorithmic opacity, trialability, technology support infrastructure were found to have a significant effect on the innovation resistance.
TOE 프레임워크와 가치기반수용모형 기반의 인공지능 신약개발 시스템 활용의도에 관한 실증 연구
김영대(Yeongdae Kim),이원석(Won Suk Lee),장상현(Sang-hyun Jang),신용태(Yongtae Shin) 한국IT서비스학회 2021 한국IT서비스학회지 Vol.20 No.3
New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.
경로도형 구축을 통한 하수처리장 질소 및 인 제거 영향인자 파악에 관한 연구
조영대 ( Yeongdae Cho ),이슬아 ( Seul-ah Lee ),김민수 ( Minsoo Kim ),김효수 ( Hyosoo Kim ),최명원 ( Myungwon Choi ),김예진 ( Yejin Kim ) 한국환경과학회 2018 한국환경과학회지 Vol.27 No.11
In this study, an operational data set was analysed by establishing a path model to figure out the actual cause-effect relationship of a wastewater treatment plant (WWTP); in particular, for the effluent concentrations of T-N and T-P. To develop the path models, data sets of operational records including effluent concentrations and operational factors were obtained from a field scale WWTP of 680,000 ㎥ of treatment capacity. The models showed that the relationship networks with the correlation coefficients between variables for objective expressions indicated the strength of each relationship. The suggested path models were verified according to whether the analyzation results matched known theories well, but sophisticated minute theoric relationships could not be cropped out distinctly. This indicates that only a few paths with strong theoric casual relationships were represented as measured data due to the high non-linearity of the mechanism of the removal process in a biological wastewater treatment.
( Ho Cheol Kim ),( Chi Young Jung ),( Deog Gon Cho ),( Jae Hyun Jeon ),( Jeong Eun Lee ),( Jin Seok Ahn ),( Seung Joon Kim ),( Yeongdae Kim ),( Young-chul Kim ),( Jung-eun Kim ),( Boram Lee ),( Young- 대한결핵 및 호흡기학회 2019 Tuberculosis and Respiratory Diseases Vol.82 No.2
Background: Lung cancer is a leading cause of morbidity and mortality worldwide, and the incidence continues to rise. Although many prognostic factors have been identified, the clinical characteristics and outcomes in Korean lung cancer patients are not well defined. Methods: Of the 23,254 new lung cancer cases registered at the Korea Central Cancer Registry in 2013, total 489 patients from 19 hospitals were abstracted by the Korean Central Cancer Registry. The clinical data retrospectively analyzed, patients were followed up until December 2015. Results: The median age was 69 years (interquartile range, 60-74 years); 65.4% were male and 62.1% were ever-smokers. Cough was the most common initial symptom (33.5%); 13.1% of patients were asymptomatic. While squamous cell carcinoma was the most common subtype in male patients (37.2%), adenocarcinoma was the most frequent histological type in all patients (48.7%) and females (76.3%). The majority of patients received treatment (76.5%), which included surgery, radiation therapy, and chemotherapy. Older age (hazard ratio [HR], 1.037), lower body mass index (HR, 0.904), ever-smoker (HR, 2.003), small cell lung cancer (HR, 1.627), and distant metastasis (HR, 3.990) were independent predictors of mortality. Patients without symptoms (HR, 0.387) and without treatment (HR, 0.364) were associated with a favorable outcome in multivariate Cox analysis. Conclusion: Lung cancer in Korea occurs predominantly in elderly patients, with adenocarcinoma being the most frequent subtype. The prognosis was poorer in ever-smokers and older, malnourished, and untreated patients with advanced lung cancer.
비대면 온라인 교육 환경에서 학습자 만족 및 사용의도에 영향을 미치는 요인 연구
김지영 ( Ji-young Kim ),김영대 ( Yeongdae Kim ),신용태 ( Yongtae Shin ) 한국정보처리학회 2021 한국정보처리학회 학술대회논문집 Vol.28 No.1
본 연구는 코로나19 바이러스로 인해 대학에서 비대면 온라인 학습 환경이 일반화된 상황에서 학습자 만족과 사용 의도 형성에 영향을 미치는 요인을 도출하고 이들 요인 간에 존재하는 구조적인 관계성을 실증적으로 검정해 보기 위한 것이다. 이를 통해 비대면 온라인 학습에 대한 학습자 만족과 사용 의도에 영향을 미치는 주요 변인들간의 관계를 종합적으로 규명함으로써 대학교육의 효과성을 높이는데 기여할 것으로 생각한다.