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The Engineering Economist
A Journal Devoted to the Problems of Capital Investment
Volume 62, 2017 - Issue 2: Engineering Economic Models in Healthcare Systems
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Original Articles

Evaluating the cost-effectiveness of an early detection of Parkinson's disease through innovative technology

David A. MuñozDepartment of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, Pennsylvania;Clinical and Translational Science Institute, Pennsylvania State University, University Park, PennsylvaniaView further author information
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Mehmet Serdar KilincDepartment of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, Pennsylvania;Clinical and Translational Science Institute, Pennsylvania State University, University Park, PennsylvaniaCorrespondence[email protected]
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,
Harriet B. NembhardDepartment of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, Pennsylvania;Clinical and Translational Science Institute, Pennsylvania State University, University Park, PennsylvaniaView further author information
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Conrad TuckerDepartment of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, Pennsylvania;Department of Engineering Design, Pennsylvania State University, University Park, PennsylvaniaORCID Iconhttp://orcid.org/0000-0001-5365-0240View further author information
ORCID Icon &
Xuemei HuangCollege of Medicine, Pennsylvania State University, Hershey, PennsylvaniaView further author information
Pages 180-196 | Published online: 22 Mar 2017

Citations (7)

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Read on this site (1)

Ahmad Z. Al Meslamani. (2023) Beyond implementation: the long-term economic impact of AI in healthcare. Journal of Medical Economics 26:1, pages 1566-1569.
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Articles from other publishers (6)

Roongroj Bhidayasiri. (2024) Old problems, new solutions: harnessing technology and innovation in Parkinson’s disease—evidence and experiences from Thailand. Journal of Neural Transmission.
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William Tam, Mohannad Alajlani & Alaa Abd-alrazaq. (2023) An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review. Journal of Medical Internet Research 25, pages e42950.
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Zainab Ayaz, Saeeda Naz, Naila Habib Khan, Imran Razzak & Muhammad Imran. (2022) Automated methods for diagnosis of Parkinson’s disease and predicting severity level. Neural Computing and Applications 35:20, pages 14499-14534.
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Angelo Antonini, Heinz Reichmann, Giovanni Gentile, Michela Garon, Chiara Tedesco, Anika Frank, Bjoern Falkenburger, Spyridon Konitsiotis, Konstantinos Tsamis, Georgios Rigas, Nicholas Kostikis, Adamantios Ntanis & Constantinos Pattichis. (2023) Toward objective monitoring of Parkinson's disease motor symptoms using a wearable device: wearability and performance evaluation of PDMonitor®. Frontiers in Neurology 14.
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E.I. Gusev, V.E. Blokhin, S.A. Vartanov, M.Yu. Martynov, E.A. Katunina, A.V. Alesenko, I.A. Denisova, E.N. Pavlova, V.M. Polterovich, V.G. Kucheryanu, M.A. Shupik, M.R. Nodel, A.L. Kalinkin, S.A. Sokolov, T.V. Chubarova, M.V. Shakleina, T.S. Pronina & M.V. Ugryumov. (2021) Development of early diagnosis of Parkinson’s disease and comprehensive economic analysis of the effect of its implementation. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova 121:1, pages 9.
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Irina A. Denisova, Tatiana V. Chubarova, Irina E. Bogatova, Sergei A. Vartanov, Valerian G. Kucheryanu, Viсtor M. Polterovich, Natalia A. Turdyeva & Marina V. Shakleina. (2020) Estimating economic efficiency of preclinical diagnostics of Parkinson's disease with cost-utility approach. Population and Economics 4:3, pages 111-127.
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