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    ์žฌ๊ฐ€๊ธ‰์—ฌ ๋Œ€ ์‹œ์„ค๊ธ‰์—ฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ๋ณด๊ฑดํ•™๊ณผ(๋ณด๊ฑด์ •์ฑ…๊ด€๋ฆฌํ•™์ „๊ณต), 2019. 2. ์ดํƒœ์ง„.๋ณธ ์—ฐ๊ตฌ๋Š” ์žฅ๊ธฐ์š”์–‘ 1, 2๊ธ‰ ์ˆ˜๊ธ‰์ž๊ฒฉ์„ ์ธ์ •๋ฐ›์€ ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž์˜ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ ์–‘์ƒ์„ ์•Œ์•„๋ณด๊ณ , ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ ์–‘์ƒ์ด ์˜๋ฃŒ ์ด์šฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ์ž๋ฃŒ๋Š” ๊ตญ๋ฏผ๊ฑด๊ฐ•๋ณดํ—˜๊ณต๋‹จ์˜ ๋…ธ์ธ์ฝ”ํ˜ธํŠธ DB 2015๋…„ 1์›”๋ถ€ํ„ฐ 12์›”๊นŒ์ง€ ๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•˜์˜€์œผ๋ฉฐ, ์žฅ๊ธฐ์š”์–‘ 1, 2๊ธ‰ ์ˆ˜๊ธ‰์ž๊ฒฉ์„ ์ธ์ •๋ฐ›์€ 65์„ธ ์ด์ƒ ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž์˜ ์žฅ๊ธฐ์š”์–‘ ์ธ์ •์ž๋ฃŒ ๋ฐ ์ฒญ๊ตฌ์ž๋ฃŒ, ๊ฑด๊ฐ•๋ณดํ—˜ ์ฒญ๊ตฌ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค. ์ตœ์ข… 653๋ช…์„ ๋ถ„์„๋Œ€์ƒ์œผ๋กœ ์„ ์ •ํ•˜์˜€์œผ๋ฉฐ, ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž๊ฐ€ ์ด์šฉํ•˜๋Š” ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค์˜ ์ข…๋ฅ˜์— ๋”ฐ๋ผ ์žฌ๊ฐ€์„œ๋น„์Šค ์ด์šฉ๊ตฐ, ์‹œ์„ค์„œ๋น„์Šค ์ด์šฉ๊ตฐ, ์„œ๋น„์Šค ๋ฏธ์ด์šฉ๊ตฐ์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋Œ€์ƒ์˜ ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ๋ถ„์„ ๋ฐ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ ์–‘์ƒ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์— ๋Œ€ํ•ด์„œ๋Š” ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ ์–‘์ƒ์ด ์˜๋ฃŒ์ด์šฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด์„œ๋Š” two-part model์„ ์ ์šฉํ•˜์—ฌ ์Œ์ดํ•ญ ํšŒ๊ท€๋ถ„์„๊ณผ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž์˜ ์žฌ๊ฐ€์„œ๋น„์Šค ์ด์šฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์€ ์„ฑ๋ณ„, ์—ฐ๋ น,๋™๊ฑฐ์ธ ์œ ๋ฌด, ๊ฐ€์กฑ ์ฃผ์ˆ˜๋ฐœ์ž ์œ ๋ฌด, ๊ฑฐ์ฃผ์ง€์—ญ ๋…ธ์ธ ์ฒœ๋ช…๋‹น ์žฅ๊ธฐ์š”์–‘๊ธฐ๊ด€ ์ˆ˜, ์š”์–‘๋ณดํ˜ธ์‚ฌ ์ˆ˜, ํŒ์ •๋“ฑ๊ธ‰, ์‹ ์ฒด๊ธฐ๋Šฅ ์˜์—ญ ์ ์ˆ˜์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‹œ์„ค์„œ๋น„์Šค ์ด์šฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์€ ์„ฑ๋ณ„, ๋™๊ฑฐ์ธ ์œ ๋ฌด ์—ฌ๋ถ€, ๊ฐ€์กฑ ์ฃผ์ˆ˜๋ฐœ์ž ์œ ๋ฌด, ์†Œ๋“์ˆ˜์ค€, ๊ฑฐ์ฃผ์ง€์—ญ ์žฅ๊ธฐ์š”์–‘๊ธฐ๊ด€ ์ˆ˜, ์š”์–‘๋ณดํ˜ธ์‚ฌ ์ˆ˜, ์‹ ์ฒด๊ธฐ๋Šฅ, ๊ฐ„ํ˜ธ์ฒ˜์น˜, ์žฌํ™œ์˜์—ญ ์ ์ˆ˜์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž์˜ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ์ด ์˜๋ฃŒ์ด์šฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ, ๊ฐ™์€ ์กฐ๊ฑด์˜ ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž๊ฐ€ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค๋ฅผ ์ด์šฉํ•˜๋Š” ๊ฒฝ์šฐ ์ž…์›์„œ๋น„์Šค ์ด์šฉ๋ฐœ์ƒ, ์ž…์›๋น„์šฉ, ์ž…์›์ผ์ˆ˜, ์ž…์›ํšŸ์ˆ˜, ์ด์˜๋ฃŒ๋น„๋ฅผ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์ถ”๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์™ธ๋ž˜์„œ๋น„์Šค์˜ ๊ฒฝ์šฐ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค๋ฅผ ์ด์šฉํ•จ์— ๋”ฐ๋ผ ์™ธ๋ž˜์„œ๋น„์Šค ์ด์šฉ๋ฐœ์ƒ, ์™ธ๋ž˜ํšŸ์ˆ˜๊ฐ€ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ์œผ๋‚˜ ์ด๋Š” ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ์œผ๋กœ ์งˆ๋ณ‘์ด ์ ์ ˆํ•˜๊ฒŒ ๊ด€๋ฆฌ๋˜๋ฉด์„œ ์ž…์›์„œ๋น„์Šค ๋Œ€์‹  ์™ธ๋ž˜์„œ๋น„์Šค๋ฅผ ์ด์šฉํ•˜๋ฉด์„œ ๋‚˜ํƒ€๋‚˜๋Š” ๊ธ์ •์ ์ธ ํ˜„์ƒ์ด๋ผ ํ•  ์ˆ˜ ์žˆ๋‹ค. ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ ์–‘์ƒ์ด ์˜๋ฃŒ์ด์šฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ, ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž๊ฐ€ ์‹œ์„ค์„œ๋น„์Šค๋ฅผ ์ด์šฉํ•˜๋Š” ๊ฒฝ์šฐ ์žฌ๊ฐ€์„œ๋น„์Šค๋ฅผ ์ด์šฉํ•˜๋Š” ํ™˜์ž์— ๋น„ํ•ด์„œ ์ž…์›์„œ๋น„์Šค ์ด์šฉ๋ฐœ์ƒ, ์ž…์›์ผ์ˆ˜, ์ž…์›๋น„์šฉ, ์ž…์›ํšŸ์ˆ˜, ์ด์˜๋ฃŒ๋น„๋ฅผ ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์ถ”๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋งŒ์„ฑํ‡ดํ–‰์„ฑ ์ด์ƒ์šด๋™ ์งˆํ™˜์œผ๋กœ ์ธํ•˜์—ฌ ๋Œ๋ด„์ด ํ•„์š”ํ•œ ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž๊ฐ€ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค๋ฅผ ์ด์šฉํ•˜๋Š”๋ฐ ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ์— ๋Œ€ํ•ด ํŒŒ์•…ํ•˜๊ณ , ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ ์–‘์ƒ์ด ์˜๋ฃŒ์ด์šฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‹ค์ฆ์ ์œผ๋กœ ํƒ์ƒ‰ํ–ˆ๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž์˜ ๋Œ๋ด„ ์š•๊ตฌ์™€ ์งˆํ™˜์˜ ํŠน์„ฑ์— ๋”ฐ๋ผ ํ™˜์ž ๊ฐœ์ธ์—๊ฒŒ ์ ํ•ฉํ•œ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค๋ฅผ ์„ ํƒํ•˜๊ณ  ์ด๋ฅผ ์ง€์†์ ์œผ๋กœ ์ด์šฉํ•จ์œผ๋กœ์จ, ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค๊ฐ€ ์˜๋ฃŒ ์„œ๋น„์Šค๋ฅผ ๋Œ€์ฒดํ•˜๋Š” ํšจ๊ณผ๋ฅผ ๊ฐ€์ง€๋Š” ๊ฒƒ์œผ๋กœ ํŒŒ์•…๋˜์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ํ–ฅํ›„ ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž์˜ ํŠน์ˆ˜์„ฑ์„ ๊ณ ๋ คํ•˜์ง€ ์•Š์€ ์ผ๋ฅ ์ ์ธ ์žฌ๊ฐ€๊ธ‰์—ฌ ์šฐ์„  ์ œ๊ณต ์ •์ฑ…์€ ์žฌ๊ณ ๋˜์–ด์•ผ ํ•œ๋‹ค. ๋˜ํ•œ ์ด์šฉ์ž์˜ ํ˜„์‹ค์ ์ธ ์š•๊ตฌ๋ฅผ ์ถฉ์กฑ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค๋ฅผ ๋‹ค์–‘ํ™”ํ•˜๊ณ , ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ์„ ํ™œ์„ฑํ™”ํ•˜๋Š” ์ •์ฑ…์ด ์ถ”์ง„๋  ํ•„์š”์„ฑ์ด ์žˆ๋‹ค.The purpose of this study is to identify the use of long-term care service for Parkinsons disease patients and to identify the effect of long-term care services on health care utilization. The Elderly Cohort DB of National Health Insurance Service from January 2015 to December was used as the research data, and the long-term care qualification data, billing data, and health insurance billing data of Parkinsons disease patients. 653 patients were selected for analysis and depending on the type of the long-term care services, they were divided into 3 groups. Logistics regression analysis was performed on the technology analysis of the socio-economic characteristics of the study subjects and on the factors affecting health care utilization Negative binomial regression analysis and multi regression analysis were conducted by applying two-part model for the effects of using long-term care services on health care utilization. Based on result, this study concluded that the use of long-term services had significantly reduced the hospitalization costs, hospitalization days, number of hospitalizations, and the total cost. It was found that when patients used the facility services, the hospitalization costs, hospitalization days, number of hospitalizations, and the total cost had significantly decreased compared to those who used home care service. This study identified the factors that affect the use of long-term care services for patients with Parkinsons who require care due to chronic degenerative abnormal activity disease and studied the effects of long-term care services utilization on health care utilization. As a result, the research has shown that the long-term care service has the effect of replacing the health care services by selecting the long-term service that is suitable for the patient according to the characteristics of the patients needs. Therefore, the uniform priority policy for home care services that does not consider the specialty of patients with Parkinsons disease should be reconsidered. Also, there is a need for policies to have diversified long-term care services and a policy to activate the use of long-term service to meet the realistic needs of the users.์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ํ•„์š”์„ฑ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ชฉ์  5 ์ œ 3 ์ ˆ ์šฉ์–ด์˜ ์ •์˜ 5 ์ œ 2 ์žฅ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ 7 ์ œ 1 ์ ˆ ํŒŒํ‚จ์Šจ๋ณ‘์˜ ์ •์˜ ๋ฐ ํ˜„ํ™ฉ 7 ์ œ 2 ์ ˆ ํŒŒํ‚จ์Šจ๋ณ‘ ํ™˜์ž์˜ ๋ณด๊ฑด์˜๋ฃŒ์„œ๋น„์Šค ์ด์šฉ 12 ์ œ 3 ์ ˆ ๋…ธ์ธ์žฅ๊ธฐ์š”์–‘๋ณดํ—˜๊ณผ ์˜๋ฃŒ์ด์šฉ์˜ ๊ด€๊ณ„ 16 ์ œ 4 ์ ˆ ์˜๋ฃŒ์„œ๋น„์Šค ์ด์šฉ ๋ชจํ˜• 20 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 22 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์ž๋ฃŒ 22 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ 23 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ‹€ 25 ์ œ 4 ์ ˆ ์—ฐ๊ตฌ๋ณ€์ˆ˜ 26 ์ œ 5 ์ ˆ ๋ถ„์„๋ฐฉ๋ฒ• 31 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 33 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ 33 ์ œ 2 ์ ˆ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ์–‘์ƒ 36 ์ œ 3 ์ ˆ ์žฅ๊ธฐ์š”์–‘ ์„œ๋น„์Šค ์ด์šฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ 38 ์ œ 4 ์ ˆ ์˜๋ฃŒ์„œ๋น„์Šค ์ด์šฉ์–‘์ƒ 41 ์ œ 5 ์ ˆ ์˜๋ฃŒ์„œ๋น„์Šค ์ด์šฉ์ž์˜ ํŠน์„ฑ 43 ์ œ 6 ์ ˆ ์˜๋ฃŒ์„œ๋น„์Šค ์ด์šฉ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ 47 ์ œ 5 ์žฅ ๊ณ ์ฐฐ ๋ฐ ๊ฒฐ๋ก  51 ์ฐธ๊ณ  ๋ฌธํ—Œ 61 Abstract 72Maste

    ์ฃผํŒŒ์ˆ˜ ์˜์—ญ์—์„œ์˜ ์ฃผ์„ฑ๋ถ„ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ†ต๊ณ„ํ•™๊ณผ, 2016. 2. ์˜คํฌ์„.Principal component analysis (PCA) is one of dimension reduction techniques in data analysis. By using PCA, large dimensional data can be reduced to small dimensional one. Then, it is helpful for data summary and data visual- ization. In this paper, we analyze principal components in frequency domain and compare PCA results in time domain and frequency domain using time series data.Chapter 1 Introduction 1 Chapter 2 Review of PCA in Frequency Domain 3 2.1. Principal Components Analysis 3 2.2. Principal Component Series 5 Chapter 3 Data analysis 8 3.1. Data Summary 8 3.2. Compare PCA Results 9 3.3. Detection of Common Signals of PM-10 Data 14 Chapter 4 Conclusion 18 References 19 ๊ตญ๋ฌธ์ดˆ๋ก 20Maste

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