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Journal articles on the topic 'Community Chest of Korea'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Seok, Jae Eun, Jeong Gi Lim, Hye Jin Noh, and Sung Hak Lee. "The Perception of Professional about Allocation Role of Welfare for the Aged in Community Chest of Korea." Center for Social Welfare Research Yonsei University 46 (September 30, 2015): 105–31. http://dx.doi.org/10.17997/swry.46.1.5.

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2

Kim, Yong-Hyun, Wan-Joo Shim, Seong-Mi Park, Yong J. Kim, Kyoung I. Cho, Myung A. Kim, Hyun J. Yoon, et al. "PM329 Clinical usefulness of treadmill test in Korean women with chest pain: Chest Pain in Korean Women's Registry." Global Heart 9, no. 1 (March 2014): e129. http://dx.doi.org/10.1016/j.gheart.2014.03.1686.

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3

Park, Seong-Mi, Wan-Joo Shim, Yong-Hyun Kim, Mi-Seung Shin, Sung-Hee Shin, Mina Kim, and Sua Kim. "PT399 Diagnostic Accuracy of Dobutamine Stress Echocardiography in Korean Women with Chest Pain: Chest Pain in Korean Women’s Registry." Global Heart 9, no. 1 (March 2014): e250. http://dx.doi.org/10.1016/j.gheart.2014.03.2118.

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4

Kim, Kyung-Hee, Myung-A. Kim, Seong-Mi Park, Wan Joo Shim, Mi Seung Shin, Kyung-Sun Hong, and Sin Gil Ja. "PW116 Chest pain in women patients with normal coronary arteriograms; Chest Pain in Korean Women's Registry." Global Heart 9, no. 1 (March 2014): e283. http://dx.doi.org/10.1016/j.gheart.2014.03.2245.

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5

Baek, Sora, Yuncheol Ha, Jaemin Mok, Hee-won Park, Hyo-Rim Son, and Mi-Suk Jin. "Community-Based Cardiac Rehabilitation Conducted in a Public Health Center in South Korea: A Preliminary Study." Annals of Rehabilitation Medicine 44, no. 6 (December 31, 2020): 481–92. http://dx.doi.org/10.5535/arm.20084.

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Objective To evaluate the safety and effectiveness of the community-based cardiac rehabilitation (CBCR) program that we had developed.Methods Individuals aged >40 years with cardiovascular disease or its risk factors who were residing in a rural area were recruited as study subjects. The CBCR program, which consisted of 10 education sessions and 20 weeks of customized exercises (twice a week), was conducted in a public health center for 22 weeks. Comprehensive outcomes including body weight, blood glucose level, and 6-minute walk distance (6MWD) were measured at baseline, 11th week, and completion. Furthermore, the outcomes of young-old (65–74 years) and old-old (≥75 years) female subjects were compared.Results Of 31 subjects, 21 completed the program (completion rate, 67.7%). No adverse events were observed, and none of the subjects discontinued the exercise program because of chest pain, dyspnea, and increased blood pressure. Body weight and blood glucose level were significantly decreased, and 6MWD was significantly increased following program implementation (p<0.05). Both young-old and old-old women exhibited an improvement in blood glucose level and 6MWD test (p<0.05).Conclusion We reported the results of the first attempted CBCR in South Korea that was implemented without adverse events during the entire program. Improved aerobic exercise ability and reduced risk factors in all participants were observed. These improvements were also achieved by older adults aged ≥75 years.

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6

Tae Soo Lee. "A Study on the Governance and the Decision-making Structure of Non-Profit Organization: the Case of the Community Chest of Korea." Korea Social Policy Review 15, no. 2 (January 2009): 289–328. http://dx.doi.org/10.17000/kspr.15.2.200901.289.

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7

Cho, Kyoung Im, Wan-Joo Shim, Seong-Mi Park, Myung A. Kim, and Kyoung-Soon Hong. "PW215 Higher frequency of coronary vasospasm and coronary atherosclerosis in depressed women with chest pain: From the Chest pain in Korean women registry." Global Heart 9, no. 1 (March 2014): e301. http://dx.doi.org/10.1016/j.gheart.2014.03.2313.

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8

Jang, Se Bum, Suk Hee Lee, Dong Eun Lee, Sin-Youl Park, Jong Kun Kim, Jae Wan Cho, Jaekyung Cho, et al. "Deep-learning algorithms for the interpretation of chest radiographs to aid in the triage of COVID-19 patients: A multicenter retrospective study." PLOS ONE 15, no. 11 (November 24, 2020): e0242759. http://dx.doi.org/10.1371/journal.pone.0242759.

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The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical efficacy in improving speed and accuracy of image interpretation. If the DL algorithm achieves a performance equivalent to that achieved by physicians in chest radiography (CR) diagnoses with Coronavirus disease 2019 (COVID-19) pneumonia, the automatic interpretation of the CR with DL algorithms can significantly reduce the burden on clinicians and radiologists in sudden surges of suspected COVID-19 patients. The aim of this study was to evaluate the efficacy of the DL algorithm for detecting COVID-19 pneumonia on CR compared with formal radiology reports. This is a retrospective study of adult patients that were diagnosed as positive COVID-19 cases based on the reverse transcription polymerase chain reaction among all the patients who were admitted to five emergency departments and one community treatment center in Korea from February 18, 2020 to May 1, 2020. The CR images were evaluated with a publicly available DL algorithm. For reference, CR images without chest computed tomography (CT) scans classified as positive for COVID-19 pneumonia were used given that the radiologist identified ground-glass opacity, consolidation, or other infiltration in retrospectively reviewed CR images. Patients with evidence of pneumonia on chest CT scans were also classified as COVID-19 pneumonia positive outcomes. The overall sensitivity and specificity of the DL algorithm for detecting COVID-19 pneumonia on CR were 95.6%, and 88.7%, respectively. The area under the curve value of the DL algorithm for the detection of COVID-19 with pneumonia was 0.921. The DL algorithm demonstrated a satisfactory diagnostic performance comparable with that of formal radiology reports in the CR-based diagnosis of pneumonia in COVID-19 patients. The DL algorithm may offer fast and reliable examinations that can facilitate patient screening and isolation decisions, which can reduce the medical staff workload during COVID-19 pandemic situations.

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9

Park, Seong-Mi, Wan-Joo Shim, Yong-Hyun Kim, Mi-Seung Shin, Sung-Hee Shin, Mina Kim, and Sua Kim. "O060 Clinical Significance of Dynamic Left Ventricular Outflow Tract Obstruction during Dobutamine Stress Echocardiography in Women with Chest Pain: Chest Pain in Korean Women’s Registry." Global Heart 9, no. 1 (March 2014): e16. http://dx.doi.org/10.1016/j.gheart.2014.03.1274.

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10

Cho, Kyoung Im, Wan Joo Shim, Seong-Mi Park, Myung A. Kim, and Kyoung-Soon Hong. "PW216 Relationship between depression and QTc interval in female patients with suspected coronary artery disease: From the Chest pain in Korean women registry." Global Heart 9, no. 1 (March 2014): e301. http://dx.doi.org/10.1016/j.gheart.2014.03.2314.

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11

Genovese, Frank C. "Community Chest." American Journal of Economics and Sociology 48, no. 4 (October 1989): 501–2. http://dx.doi.org/10.1111/j.1536-7150.1989.tb02140.x.

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12

Fu, Michael C. "Simulation-Based Algorithms for Markov Decision Processes: Monte Carlo Tree Search from AlphaGo to AlphaZero." Asia-Pacific Journal of Operational Research 36, no. 06 (December 2019): 1940009. http://dx.doi.org/10.1142/s0217595919400098.

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AlphaGo and its successors AlphaGo Zero and AlphaZero made international headlines with their incredible successes in game playing, which have been touted as further evidence of the immense potential of artificial intelligence, and in particular, machine learning. AlphaGo defeated the reigning human world champion Go player Lee Sedol 4 games to 1, in March 2016 in Seoul, Korea, an achievement that surpassed previous computer game-playing program milestones by IBM’s Deep Blue in chess and by IBM’s Watson in the U.S. TV game show Jeopardy. AlphaGo then followed this up by defeating the world’s number one Go player Ke Jie 3-0 at the Future of Go Summit in Wuzhen, China in May 2017. Then, in December 2017, AlphaZero stunned the chess world by dominating the top computer chess program Stockfish (which has a far higher rating than any human) in a 100-game match by winning 28 games and losing none (72 draws) after training from scratch for just four hours! The deep neural networks of AlphaGo, AlphaZero, and all their incarnations are trained using a technique called Monte Carlo tree search (MCTS), whose roots can be traced back to an adaptive multistage sampling (AMS) simulation-based algorithm for Markov decision processes (MDPs) published in Operations Research back in 2005 [Chang, HS, MC Fu, J Hu and SI Marcus (2005). An adaptive sampling algorithm for solving Markov decision processes. Operations Research, 53, 126–139.] (and introduced even earlier in 2002). After reviewing the history and background of AlphaGo through AlphaZero, the origins of MCTS are traced back to simulation-based algorithms for MDPs, and its role in training the neural networks that essentially carry out the value/policy function approximation used in approximate dynamic programming, reinforcement learning, and neuro-dynamic programming is discussed, including some recently proposed enhancements building on statistical ranking & selection research in the operations research simulation community.

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13

Etzkorn, Eugene T., Patricia K. Lillis, and C. Kenneth McAllister. "Tuberculosis in Korea." Chest 90, no. 2 (August 1986): 247–50. http://dx.doi.org/10.1378/chest.90.2.247.

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14

Hee-sun Kim. "Community Music in Korea." 이화음악논집 16, no. 2 (December 2012): 55–76. http://dx.doi.org/10.17254/jemri.2012.16.2.003.

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15

Kim, Jeong Hwan, and Poong-Lyul Rhee. "Recent Advances in Noncardiac Chest Pain in Korea." Gut and Liver 6, no. 1 (January 30, 2012): 1–9. http://dx.doi.org/10.5009/gnl.2012.6.1.1.

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16

Cho, Myung-Rae. "Progressive Community Movements in Korea." International Journal of Urban Sciences 2, no. 1 (April 1998): 92–109. http://dx.doi.org/10.1080/12265934.1998.9693409.

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17

Sohn, Dong-Won, and James A. Wall. "Community Mediation in South Korea." Journal of Conflict Resolution 37, no. 3 (September 1993): 536–43. http://dx.doi.org/10.1177/0022002793037003006.

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18

Lévy, Marc, Françoise Dromer, Nils Brion, Françoise Leturdu, and Claude Carbon. "Community-Acquired Pneumonia." Chest 93, no. 1 (January 1988): 43–48. http://dx.doi.org/10.1378/chest.93.1.43.

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19

Luna, Carlos M., Angela Famiglietti, Rubeén Absi, Alejandro J. Videla, Facundo J. Nogueira, Alejandro Diaz Fuenzalida, and Ricardo J. Geneé. "Community-Acquired Pneumonia." Chest 118, no. 5 (November 2000): 1344–54. http://dx.doi.org/10.1378/chest.118.5.1344.

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20

Siegel, Robert. "Community-Acquired Pneumonia." Chest 112, no. 3 (September 1997): 862. http://dx.doi.org/10.1378/chest.112.3.862.

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21

Kim, Hee-Joung, Yu Ji Cho, Sang-Min Lee, Jae-Jun Yim, Chul-Gyu Yoo, Young Whan Kim, Sung Gu Han, Young-Soo Shim, and Seok-Chul Yang. "CLINICAL MANIFESTATIONS AND PROGNOSIS OF SARCOIDOSIS IN KOREA." Chest 134, no. 4 (October 2008): 62P. http://dx.doi.org/10.1378/chest.134.4_meetingabstracts.p62003.

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22

Kim, Pil-Dong. "Community and Individual in Traditional Korea." Society and Theory 1 (August 31, 2002): 15. http://dx.doi.org/10.17209/st.2002.08.1.15.

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23

Kang, Yang Wha, Yun Sil Ko, Yoo Jin Kim, Kyoung Mi Sung, Hyo Jin Kim, Hyung Yun Choi, Changhyun Sung, and Eunkyeong Jeong. "Korea Community Health Survey Data Profiles." Osong Public Health and Research Perspectives 6, no. 3 (June 2015): 211–17. http://dx.doi.org/10.1016/j.phrp.2015.05.003.

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24

Ji-Hae Kang. "Migration and Community Interpreting in Korea." Journal of Translation Studies 10, no. 4 (December 2009): 9–39. http://dx.doi.org/10.15749/jts.2009.10.4.001.

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25

Hee Kim,, Yun, and Nam Kwon Jo. "Community-based rehabilitation in South Korea." Disability and Rehabilitation 21, no. 10-11 (January 1999): 484–89. http://dx.doi.org/10.1080/096382899297297.

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26

Sun, Meilee. "Research on Chinese Community in Korea." Journal of Chinese Language and Literature 126 (February 28, 2021): 171–95. http://dx.doi.org/10.25021/jcll.2021.2.126.171.

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27

Medford, Andrew R. L. "Chest Ultrasonography as a Replacement for Chest Radiography for Community-Acquired Pneumonia." Chest 143, no. 3 (March 2013): 877–78. http://dx.doi.org/10.1378/chest.12-2653.

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28

Moorcroft, C., G. Kamalatharen, S. Elliot, A. Walsham, A. Sharman, and S. Taggart. "P90 Catch - Community Access To Ct Chest." Thorax 69, Suppl 2 (November 10, 2014): A115. http://dx.doi.org/10.1136/thoraxjnl-2014-206260.231.

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29

O'Kelly, N., S. Ghosh, and J. Smith. "Specialist practice in the community: chest medicine." Postgraduate Medical Journal 85, no. 1010 (December 1, 2009): 649–54. http://dx.doi.org/10.1136/pgmj.2008.073502.

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30

DAVIES, A. J., and A. JOLLEY. "Antibacterial therapy of community-acquired chest infections." Journal of Antimicrobial Chemotherapy 29, no. 1 (1992): 1–4. http://dx.doi.org/10.1093/jac/29.1.1.

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31

Wunderink, Richard G., and Grant W. Waterer. "Severe Community-Acquired Pneumonia." Chest 120, no. 4 (October 2001): 1053–55. http://dx.doi.org/10.1378/chest.120.4.1053.

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32

Moine, Pierre, Jean-Baptiste Vercken, Sylvie Chevret, Claude Chastang, and Philippe Gajdos. "Severe Community-Acquired Pneumonia." Chest 105, no. 5 (May 1994): 1487–95. http://dx.doi.org/10.1378/chest.105.5.1487.

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33

Jeon, Kyeongman, Won-Jung Koh, Hojoong Kim, O. Jung Kwon, Tae Sung Kim, Kyung Soo Lee, and Joungho Han. "Clinical Features of Recently Diagnosed Pulmonary Paragonimiasis in Korea." Chest 128, no. 3 (September 2005): 1423–30. http://dx.doi.org/10.1378/chest.128.3.1423.

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34

Reissig, Angelika. "Chest Ultrasonography as a Replacement for Chest Radiography for Community-Acquired Pneumonia: Response." Chest 143, no. 3 (March 2013): 878–79. http://dx.doi.org/10.1378/chest.12-2780.

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35

Miyashita, Naoyuki, Yoshihito Niki, Toshiharu Matsushima, and Niro Okimoto. "Community-Acquired Chlamydia pneumoniae pneumonia." Chest 117, no. 2 (February 2000): 615. http://dx.doi.org/10.1378/chest.117.2.615.

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36

Arnold, Forest W., Julio A. Ramirez, L. Clifford McDonald, and Eric L. Xia. "Hospitalization for Community-Acquired Pneumonia." Chest 124, no. 1 (July 2003): 121–24. http://dx.doi.org/10.1378/chest.124.1.121.

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37

Kane, Gregory C. "Legionella Species Community-Acquired Pneumonia." Chest 111, no. 1 (January 1997): 254. http://dx.doi.org/10.1378/chest.111.1.254.

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38

Lieberman, David, Avi Porath, Fransisc Schlaeffer, Devora Lieberman, and Ida Boldur. "Legionella Species Community-Acquired Pneumonia." Chest 109, no. 5 (May 1996): 1243–49. http://dx.doi.org/10.1378/chest.109.5.1243.

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39

Granowitz, Eric V., and Richard B. Brown. "Macrolides in Community-Acquired Pneumonia." Chest 128, no. 3 (September 2005): 1089–93. http://dx.doi.org/10.1378/chest.128.3.1089.

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40

Chien, Sin-Ming, Philip Pichotta, Nancy Siepman, and Charles K. Chan. "Treatment of Community-acquired Pneumonia." Chest 103, no. 3 (March 1993): 697–701. http://dx.doi.org/10.1378/chest.103.3.697.

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41

Østergaard, Lars, and Paul L. Andersen. "Etiology of Community-acquired Pneumonia." Chest 104, no. 5 (November 1993): 1400–1407. http://dx.doi.org/10.1378/chest.104.5.1400.

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42

Patel, Kunal, Viral Patel, Kelly Cervellione, and Craig Thurm. "Community-Acquired MRSA Pneumonia in an Urban Community Hospital: Risk Factors, Presentation, and Outcomes." Chest 145, no. 3 (March 2014): 155A. http://dx.doi.org/10.1378/chest.1835557.

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43

Feldman, Charles, and Ronald Anderson. "Community-Acquired Pneumonia." Chest 148, no. 2 (August 2015): 523–32. http://dx.doi.org/10.1378/chest.15-0484.

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44

Cunha, Burke A., and Jean E. Hage. "Community-Acquired Pneumonia." Chest 139, no. 5 (May 2011): 1255–56. http://dx.doi.org/10.1378/chest.10-3146.

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45

Brown, Richard B. "Community-Acquired Pneumonia." Chest 93, no. 1 (January 1988): 1–2. http://dx.doi.org/10.1378/chest.93.1.1-a.

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46

Niederman, Michael S. "Community-Acquired Pneumonia." Chest 113, no. 3 (March 1998): 179S—182S. http://dx.doi.org/10.1378/chest.113.3_supplement.179s.

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47

Prabhudesai, Pralhad P., Thomas Kuruvilla, and Samina Tadvi. "Community-Acquired Pneumonia." Chest 112, no. 3 (September 1997): 861–62. http://dx.doi.org/10.1378/chest.112.3.861-a.

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48

Mandell, Lionel A. "Community-Acquired Pneumonia." Chest 108, no. 2 (August 1995): 35S—42S. http://dx.doi.org/10.1378/chest.108.2_supplement.35s.

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49

Nam, Ki Cheol. "Community Care and Housing Support in Korea." JOURNAL OF SOCIAL SCIENCE 27, no. 3 (September 30, 2020): 158–81. http://dx.doi.org/10.46415/jss.2020.09.27.3.158.

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50

Peck, Kyong Ran. "Treatment of Community-Acquired Pneumonia in Korea." Journal of the Korean Medical Association 50, no. 10 (2007): 886. http://dx.doi.org/10.5124/jkma.2007.50.10.886.

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