학술논문
전자자료 공정이용 안내
우리 대학 도서관에서 구독·제공하는 모든 전자자료(데이터베이스, 전자저널, 전자책 등)는 국내외 저작권법과 출판사와의 라이선스 계약에 따라 엄격하게 보호를 받고 있습니다.
전자자료의 비정상적 이용은 출판사로부터의 경고, 서비스 차단, 손해배상 청구 등 학교 전체에 심각한 불이익을 초래할 수 있으므로, 아래의 공정이용 지침을 반드시 준수해 주시기 바랍니다.
공정이용 지침
- 전자자료는 개인의 학습·교육·연구 목적의 비영리적 사용에 한하여 이용할 수 있습니다.
- 합리적인 수준의 다운로드 및 출력만 허용됩니다. (일반적으로 동일 PC에서 동일 출판사의 논문을 1일 30건 이하 다운로드할 것을 권장하며, 출판사별 기준에 따라 다를 수 있습니다.)
- 출판사에서 제공한 논문의 URL을 수업 관련 웹사이트에 게재할 수 있으나, 출판사 원문 파일 자체를 복제·배포해서는 안 됩니다.
- 본인의 ID/PW를 타인에게 제공하지 말고, 도용되지 않도록 철저히 관리해 주시기 바랍니다.
불공정 이용 사례
- 전자적·기계적 수단(다운로딩 프로그램, 웹 크롤러, 로봇, 매크로, RPA 등)을 이용한 대량 다운로드
- 동일 컴퓨터 또는 동일 IP에서 단시간 내 다수의 원문을 집중적으로 다운로드하거나, 전권(whole issue) 다운로드
- 저장·출력한 자료를 타인에게 배포하거나 개인 블로그·웹하드 등에 업로드
- 상업적·영리적 목적으로 자료를 전송·복제·활용
- ID/PW를 타인에게 양도하거나 타인 계정을 도용하여 이용
- EndNote, Mendeley 등 서지관리 프로그램의 Find Full Text 기능을 이용한 대량 다운로드
- 출판사 콘텐츠를 생성형 AI 시스템에서 활용하는 행위(업로드, 개발, 학습, 프로그래밍, 개선 또는 강화 등)
위반 시 제재
- 출판사에 의한 해당 IP 또는 기관 전체 접속 차단
- 출판사 배상 요구 시 위반자 개인이 배상 책임 부담
'학술논문'
에서 검색결과 11,470건 | 목록
1~20
Conference
Ghosh, Sagnik; Goh, Duan Jian; Hu, Zhongshi; Sharma, Jaibir; Teo, Yong Shun; McCarthy, Marlon; Ramegowda, Prakasha Chigahalli; Toh, Wei Da; Chen, Weiguo; Murugan, Arulchozhan; Zhang, Yao; Tsuchiya, Yoshishige; Lal, Amit; Lee, Joshua E.-Y.; Koh, Yul
2023 IEEE SENSORS SENSORS, 2023 IEEE. :1-4 Oct, 2023
Conference
Ghosh, Sagnik; Goh, Duan Jian; Koh, Yul; Sharma, Jaibir; Da Toh, Wei; Chen, Weiguo; Zhang, Yao; Ng, Eldwin; Lal, Amit; Lee, Joshua E.-Y.
2023 IEEE 36th International Conference on Micro Electro Mechanical Systems (MEMS) Micro Electro Mechanical Systems (MEMS), 2023 IEEE 36th International Conference on. :491-494 Jan, 2023
Conference
2020 5th Asia Conference on Power and Electrical Engineering (ACPEE) Power and Electrical Engineering (ACPEE), 2020 5th Asia Conference on. :313-317 Jun, 2020
Academic Journal
In: Journal of Anglo-Portuguese Studies . (Journal of Anglo-Portuguese Studies, 2024, (33):169-189)
Academic Journal
In: Arquivos de Neuro-Psiquiatria . (Arquivos de Neuro-Psiquiatria, 2024, 82(11))
Conference
da. Silva, Agnelo Rocha; Akbar, Ruzbeh; Chen, Richard; Dogaheh, Kazem Bakian; Golestani, Negar; Moghaddam, Mahta; Entekhabi, Dara
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2019 IEEE 10th Annual. :0183-0191 Oct, 2019
Academic Journal
In: Estudos Internacionais . (Estudos Internacionais, October 2023, 11(3):89-107)
Academic Journal
In: Results in Engineering . (Results in Engineering, September 2025, 27)
Academic Journal
In: Education Policy Analysis Archives . (Education Policy Analysis Archives, 2023, 31)
Academic Journal
In: Education Policy Analysis Archives . (Education Policy Analysis Archives, 2023, 31)
Report
Predicting Hospital Readmission for Surgical Patients Using Deep Learning Models With Smart Watch and Smart Ring Sensors Data
Iucif N Jr, Rocha JS. [Study of inequalities in hospital mortality using the Charlson comorbidity index]. Rev Saude Publica. 2004 Dec;38(6):780-6. doi: 10.1590/s0034-89102004000600005. Epub 2004 Dec 10. Portuguese.
Duarte RL, Magalhaes-da -Silveira FJ, Oliveira-E-Sa TS, Silva JA, Mello FC, Gozal D. Obstructive Sleep Apnea Screening with a 4-Item Instrument, Named GOAL Questionnaire: Development, Validation and Comparative Study with No-Apnea, STOP-Bang, and NoSAS. Nat Sci Sleep. 2020 Jan 23;12:57-67. doi: 10.2147/NSS.S238255. eCollection 2020.
Bertolazi AN, Fagondes SC, Hoff LS, Pedro VD, Menna Barreto SS, Johns MW. Portuguese-language version of the Epworth sleepiness scale: validation for use in Brazil. J Bras Pneumol. 2009 Sep;35(9):877-83. doi: 10.1590/s1806-37132009000900009. English, Portuguese.
Yanagimori M, Fernandes MD, Grad GF, Monare AB, Garcia BMSP, Rosanelli I, Mariano PMMS, Drummond SPA, O'Driscoll DM, Edwards BA, Lorenzi-Filho G, Genta PR. Abbreviated versions of the insomnia severity index to screen for comorbid insomnia among obstructive sleep apnea patients. Sleep Med. 2025 Feb;126:19-24. doi: 10.1016/j.sleep.2024.11.035. Epub 2024 Nov 26.
Bertolazi AN, Fagondes SC, Hoff LS, Dartora EG, Miozzo IC, de Barba ME, Barreto SS. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Med. 2011 Jan;12(1):70-5. doi: 10.1016/j.sleep.2010.04.020. Epub 2010 Dec 9.
Hegab Z, Gibbons S, Neyses L, Mamas MA. Role of advanced glycation end products in cardiovascular disease. World J Cardiol. 2012 Apr 26;4(4):90-102. doi: 10.4330/wjc.v4.i4.90.
Vistoli G, De Maddis D, Cipak A, Zarkovic N, Carini M, Aldini G. Advanced glycoxidation and lipoxidation end products (AGEs and ALEs): an overview of their mechanisms of formation. Free Radic Res. 2013 Aug;47 Suppl 1:3-27. doi: 10.3109/10715762.2013.815348.
Atzeni IM, van de Zande SC, Westra J, Zwerver J, Smit AJ, Mulder DJ. The AGE Reader: A non-invasive method to assess long-term tissue damage. Methods. 2022 Jul;203:533-541. doi: 10.1016/j.ymeth.2021.02.016. Epub 2021 Feb 23.
Amorim RL, Oliveira LM, Malbouisson LM, Nagumo MM, Simoes M, Miranda L, Bor-Seng-Shu E, Beer-Furlan A, De Andrade AF, Rubiano AM, Teixeira MJ, Kolias AG, Paiva WS. Prediction of Early TBI Mortality Using a Machine Learning Approach in a LMIC Population. Front Neurol. 2020 Jan 24;10:1366. doi: 10.3389/fneur.2019.01366. eCollection 2019.
Hale AT, Stonko DP, Lim J, Guillamondegui OD, Shannon CN, Patel MB. Using an artificial neural network to predict traumatic brain injury. J Neurosurg Pediatr. 2019 Feb 1;23(2):219-226. doi: 10.3171/2018.8.PEDS18370. Epub 2018 Nov 2.
Fares MY, Liu HH,da Silva Etges APB, Zhang B, Warner JJP, Olson JJ, Fedorka CJ, Khan AZ, Best MJ, Kirsch JM, Simon JE, Sanders B, Costouros JG, Zhang X, Jones P, Haas DA , Abboud JA; Avant-Garde Health and Codman Society Value-Based Care Group. Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery: A Systematic Review and Meta-Analysis. JBJS Rev. 2024 Aug 22;12(8). doi: 10.2106/JBJS.RVW.24.00075. eCollection 2024 Aug 1.
Shameer K, Johnson KW, Yahi A, Miotto R, Li LI, Ricks D, Jebakaran J, Kovatch P, Sengupta PP, Gelijns S, Moskovitz A, Darrow B, David DL, Kasarskis A, Tatonetti NP, Pinney S, Dudley JT. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT. Pac Symp Biocomput. 2017;22:276-287. doi: 10.1142/9789813207813_0027.
Min X, Yu B, Wang F. Predictive Modeling of the Hospital Readmission Risk from Patients' Claims Data Using Machine Learning: A Case Study on COPD. Sci Rep. 2019 Feb 20;9(1):2362. doi: 10.1038/s41598-019-39071-y.
Majumder S, Mondal T, Deen MJ. Wearable Sensors for Remote Health Monitoring. Sensors (Basel). 2017 Jan 12;17(1):130. doi: 10.3390/s17010130.
Rumalla K, Srinivasan VM, Gaddis M, Kan P, Lawton MT, Burkhardt JK. Readmission following extracranial-intracranial bypass surgery in the United States: nationwide rates, causes, risk factors, and volume-driven outcomes. J Neurosurg. 2020 Nov 6;135(2):431-439. doi: 10.3171/2020.6.JNS202117. Print 2021 Aug 1.
Li Z, Armstrong EJ, Parker JP, Danielsen B, Romano PS. Hospital variation in readmission after coronary artery bypass surgery in California. Circ Cardiovasc Qual Outcomes. 2012 Sep 1;5(5):729-37. doi: 10.1161/CIRCOUTCOMES.112.966945. Epub 2012 Sep 4. Erratum In: Circ Cardiovasc Qual Outcomes. 2012 Nov;5(6):e104. Amstrong, Ehrin J [corrected to Armstrong, Ehrin J].
Silva RAGE, Borgomoni GB, de Freitas FL, Maia ADS, Farias do Vale Junior C, Pereira EDS, Silvestre LGI, Dallan LRP, Lisboa LA, Dallan LAO, Jatene FB, Mejia OAV; grupo de estudos REPLICCAR. Predictors of 30-Day Hospital Readmission Following CABG in a Multicenter Database: A Cross-Sectional Study. Arq Bras Cardiol. 2024 Sep 6;121(9):e20230768. doi: 10.36660/abc.20230768. eCollection 2024. English, Portuguese.
Scalzitti NJ, O'Connor PD, Nielsen SW, Aden JK, Brock MS, Taylor DM, Mysliwiec V, Dion GR. Obstructive Sleep Apnea is an Independent Risk Factor for Hospital Readmission. J Clin Sleep Med. 2018 May 15;14(5):753-758. doi: 10.5664/jcsm.7098.
Lan T, Liao YH, Zhang J, Yang ZP, Xu GS, Zhu L, Fan DM. Mortality and Readmission Rates After Heart Failure: A Systematic Review and Meta-Analysis. Ther Clin Risk Manag. 2021 Dec 7;17:1307-1320. doi: 10.2147/TCRM.S340587. eCollection 2021.
Psotka MA, Fonarow GC, Allen LA, Joynt Maddox KE, Fiuzat M, Heidenreich P, Hernandez AF, Konstam MA, Yancy CW, O'Connor CM. The Hospital Readmissions Reduction Program: Nationwide Perspectives and Recommendations: A JACC: Heart Failure Position Paper. JACC Heart Fail. 2020 Jan;8(1):1-11. doi: 10.1016/j.jchf.2019.07.012. Epub 2019 Oct 9.
Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009 Apr 2;360(14):1418-28. doi: 10.1056/NEJMsa0803563. Erratum In: N Engl J Med. 2011 Apr 21;364(16):1582.
Iucif N Jr, Rocha JS. [Study of inequalities in hospital mortality using the Charlson comorbidity index]. Rev Saude Publica. 2004 Dec;38(6):780-6. doi: 10.1590/s0034-89102004000600005. Epub 2004 Dec 10. Portuguese.
Duarte RL, Magalhaes-
Bertolazi AN, Fagondes SC, Hoff LS, Pedro VD, Menna Barreto SS, Johns MW. Portuguese-language version of the Epworth sleepiness scale: validation for use in Brazil. J Bras Pneumol. 2009 Sep;35(9):877-83. doi: 10.1590/s1806-37132009000900009. English, Portuguese.
Yanagimori M, Fernandes MD, Grad GF, Monare AB, Garcia BMSP, Rosanelli I, Mariano PMMS, Drummond SPA, O'Driscoll DM, Edwards BA, Lorenzi-Filho G, Genta PR. Abbreviated versions of the insomnia severity index to screen for comorbid insomnia among obstructive sleep apnea patients. Sleep Med. 2025 Feb;126:19-24. doi: 10.1016/j.sleep.2024.11.035. Epub 2024 Nov 26.
Bertolazi AN, Fagondes SC, Hoff LS, Dartora EG, Miozzo IC, de Barba ME, Barreto SS. Validation of the Brazilian Portuguese version of the Pittsburgh Sleep Quality Index. Sleep Med. 2011 Jan;12(1):70-5. doi: 10.1016/j.sleep.2010.04.020. Epub 2010 Dec 9.
Hegab Z, Gibbons S, Neyses L, Mamas MA. Role of advanced glycation end products in cardiovascular disease. World J Cardiol. 2012 Apr 26;4(4):90-102. doi: 10.4330/wjc.v4.i4.90.
Vistoli G, De Maddis D, Cipak A, Zarkovic N, Carini M, Aldini G. Advanced glycoxidation and lipoxidation end products (AGEs and ALEs): an overview of their mechanisms of formation. Free Radic Res. 2013 Aug;47 Suppl 1:3-27. doi: 10.3109/10715762.2013.815348.
Atzeni IM, van de Zande SC, Westra J, Zwerver J, Smit AJ, Mulder DJ. The AGE Reader: A non-invasive method to assess long-term tissue damage. Methods. 2022 Jul;203:533-541. doi: 10.1016/j.ymeth.2021.02.016. Epub 2021 Feb 23.
Amorim RL, Oliveira LM, Malbouisson LM, Nagumo MM, Simoes M, Miranda L, Bor-Seng-Shu E, Beer-Furlan A, De Andrade AF, Rubiano AM, Teixeira MJ, Kolias AG, Paiva WS. Prediction of Early TBI Mortality Using a Machine Learning Approach in a LMIC Population. Front Neurol. 2020 Jan 24;10:1366. doi: 10.3389/fneur.2019.01366. eCollection 2019.
Hale AT, Stonko DP, Lim J, Guillamondegui OD, Shannon CN, Patel MB. Using an artificial neural network to predict traumatic brain injury. J Neurosurg Pediatr. 2019 Feb 1;23(2):219-226. doi: 10.3171/2018.8.PEDS18370. Epub 2018 Nov 2.
Fares MY, Liu HH,
Shameer K, Johnson KW, Yahi A, Miotto R, Li LI, Ricks D, Jebakaran J, Kovatch P, Sengupta PP, Gelijns S, Moskovitz A, Darrow B, David DL, Kasarskis A, Tatonetti NP, Pinney S, Dudley JT. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT. Pac Symp Biocomput. 2017;22:276-287. doi: 10.1142/9789813207813_0027.
Min X, Yu B, Wang F. Predictive Modeling of the Hospital Readmission Risk from Patients' Claims Data Using Machine Learning: A Case Study on COPD. Sci Rep. 2019 Feb 20;9(1):2362. doi: 10.1038/s41598-019-39071-y.
Majumder S, Mondal T, Deen MJ. Wearable Sensors for Remote Health Monitoring. Sensors (Basel). 2017 Jan 12;17(1):130. doi: 10.3390/s17010130.
Rumalla K, Srinivasan VM, Gaddis M, Kan P, Lawton MT, Burkhardt JK. Readmission following extracranial-intracranial bypass surgery in the United States: nationwide rates, causes, risk factors, and volume-driven outcomes. J Neurosurg. 2020 Nov 6;135(2):431-439. doi: 10.3171/2020.6.JNS202117. Print 2021 Aug 1.
Li Z, Armstrong EJ, Parker JP, Danielsen B, Romano PS. Hospital variation in readmission after coronary artery bypass surgery in California. Circ Cardiovasc Qual Outcomes. 2012 Sep 1;5(5):729-37. doi: 10.1161/CIRCOUTCOMES.112.966945. Epub 2012 Sep 4. Erratum In: Circ Cardiovasc Qual Outcomes. 2012 Nov;5(6):e104. Amstrong, Ehrin J [corrected to Armstrong, Ehrin J].
Silva RAGE, Borgomoni GB, de Freitas FL, Maia ADS, Farias do Vale Junior C, Pereira EDS, Silvestre LGI, Dallan LRP, Lisboa LA, Dallan LAO, Jatene FB, Mejia OAV; grupo de estudos REPLICCAR. Predictors of 30-Day Hospital Readmission Following CABG in a Multicenter Database: A Cross-Sectional Study. Arq Bras Cardiol. 2024 Sep 6;121(9):e20230768. doi: 10.36660/abc.20230768. eCollection 2024. English, Portuguese.
Scalzitti NJ, O'Connor PD, Nielsen SW, Aden JK, Brock MS, Taylor DM, Mysliwiec V, Dion GR. Obstructive Sleep Apnea is an Independent Risk Factor for Hospital Readmission. J Clin Sleep Med. 2018 May 15;14(5):753-758. doi: 10.5664/jcsm.7098.
Lan T, Liao YH, Zhang J, Yang ZP, Xu GS, Zhu L, Fan DM. Mortality and Readmission Rates After Heart Failure: A Systematic Review and Meta-Analysis. Ther Clin Risk Manag. 2021 Dec 7;17:1307-1320. doi: 10.2147/TCRM.S340587. eCollection 2021.
Psotka MA, Fonarow GC, Allen LA, Joynt Maddox KE, Fiuzat M, Heidenreich P, Hernandez AF, Konstam MA, Yancy CW, O'Connor CM. The Hospital Readmissions Reduction Program: Nationwide Perspectives and Recommendations: A JACC: Heart Failure Position Paper. JACC Heart Fail. 2020 Jan;8(1):1-11. doi: 10.1016/j.jchf.2019.07.012. Epub 2019 Oct 9.
Jencks SF, Williams MV, Coleman EA. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med. 2009 Apr 2;360(14):1418-28. doi: 10.1056/NEJMsa0803563. Erratum In: N Engl J Med. 2011 Apr 21;364(16):1582.
Academic Journal
Wind Engineering, 2018 Oct 01. 42(5), 436-446.
Conference
da Cunha Lima, Ivan C.; da Cunha Lima, Andre T.; da Silva Costa, Gustavo; Almeida, Murilo P.; Ruiz, Alberto; Reis, Marco
OCEANS 2017 - Anchorage OCEANS - Anchorage, 2017. :1-4 Sep, 2017
Academic Journal
In: Journal of Tourism and Development . (Journal of Tourism and Development, 24 February 2022, 38:195-216)
Academic Journal
Academic Journal
da Silva, Alan Herjes Oliveira; Branco, Braulio Henrique Magnani; Valdés-Badilla, Pablo; dos Santos, Natalia Quevedo; de Mello, Marco Tulio; Garbuio, Silvério Aparecido; de Santana, Marcos Gonçalves; Passos, Giselle Soares; Felipe, Daniele Fernanda
Sport Sciences for Health: Founded by the Faculty of Exercise Science - University of Milan, official journal of the Italian Society of Exercise and Sport Sciences. 21(4):2721-2729
검색 결과 제한하기
제한된 항목
[검색어] Wake, DA
발행연도 제한
-
학술DB(Database Provider)
저널명(출판물, Title)
출판사(Publisher)
자료유형(Source Type)
주제어
언어