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Showing 1 to 12 of 1555 entries
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Toward an ethical risk-benefit calculus.

The American journal of digestive diseases

Moore R.
PMID: 868838
Am J Dig Dis. 1977 Jun;22(6):566-7. doi: 10.1007/BF01072515.

No abstract available.

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Moore R. Toward an ethical risk-benefit calculus. Am J Dig Dis. 1977;22(6):566-7doi: 10.1007/BF01072515.
Moore, R. (1977). Toward an ethical risk-benefit calculus. The American journal of digestive diseases, 22(6), 566-7. https://doi.org/10.1007/BF01072515
Moore, R. "Toward an ethical risk-benefit calculus." The American journal of digestive diseases vol. 22,6 (1977): 566-7. doi: https://doi.org/10.1007/BF01072515
Moore R. Toward an ethical risk-benefit calculus. Am J Dig Dis. 1977 Jun;22(6):566-7. doi: 10.1007/BF01072515. PMID: 868838.
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Spatial mixture multiscale modeling for aggregated health data.

Biometrical journal. Biometrische Zeitschrift

Aregay M, Lawson AB, Faes C, Kirby RS, Carroll R, Watjou K.
PMID: 26923178
Biom J. 2016 Sep;58(5):1091-112. doi: 10.1002/bimj.201500168. Epub 2016 Feb 29.

One of the main goals in spatial epidemiology is to study the geographical pattern of disease risks. For such purpose, the convolution model composed of correlated and uncorrelated components is often used. However, one of the two components could...

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Aregay M, Lawson AB, Faes C, et al. Spatial mixture multiscale modeling for aggregated health data. Biom J. 2016;58(5):1091-112doi: 10.1002/bimj.201500168.
Aregay, M., Lawson, A. B., Faes, C., Kirby, R. S., Carroll, R., & Watjou, K. (2016). Spatial mixture multiscale modeling for aggregated health data. Biometrical journal. Biometrische Zeitschrift, 58(5), 1091-112. https://doi.org/10.1002/bimj.201500168
Aregay, Mehreteab, et al. "Spatial mixture multiscale modeling for aggregated health data." Biometrical journal. Biometrische Zeitschrift vol. 58,5 (2016): 1091-112. doi: https://doi.org/10.1002/bimj.201500168
Aregay M, Lawson AB, Faes C, Kirby RS, Carroll R, Watjou K. Spatial mixture multiscale modeling for aggregated health data. Biom J. 2016 Sep;58(5):1091-112. doi: 10.1002/bimj.201500168. Epub 2016 Feb 29. PMID: 26923178.
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Using adaptive processes and adverse outcome pathways to develop meaningful, robust, and actionable environmental monitoring programs.

Integrated environmental assessment and management

Arciszewski TJ, Munkittrick KR, Scrimgeour GJ, Dubé MG, Wrona FJ, Hazewinkel RR.
PMID: 28383771
Integr Environ Assess Manag. 2017 Sep;13(5):877-891. doi: 10.1002/ieam.1938. Epub 2017 May 18.

The primary goals of environmental monitoring are to indicate whether unexpected changes related to development are occurring in the physical, chemical, and biological attributes of ecosystems and to inform meaningful management intervention. Although achieving these objectives is conceptually simple,...

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Arciszewski TJ, Munkittrick KR, Scrimgeour GJ, et al. Using adaptive processes and adverse outcome pathways to develop meaningful, robust, and actionable environmental monitoring programs. Integr Environ Assess Manag. 2017;13(5):877-891doi: 10.1002/ieam.1938.
Arciszewski, T. J., Munkittrick, K. R., Scrimgeour, G. J., Dubé, M. G., Wrona, F. J., & Hazewinkel, R. R. (2017). Using adaptive processes and adverse outcome pathways to develop meaningful, robust, and actionable environmental monitoring programs. Integrated environmental assessment and management, 13(5), 877-891. https://doi.org/10.1002/ieam.1938
Arciszewski, Tim J, et al. "Using adaptive processes and adverse outcome pathways to develop meaningful, robust, and actionable environmental monitoring programs." Integrated environmental assessment and management vol. 13,5 (2017): 877-891. doi: https://doi.org/10.1002/ieam.1938
Arciszewski TJ, Munkittrick KR, Scrimgeour GJ, Dubé MG, Wrona FJ, Hazewinkel RR. Using adaptive processes and adverse outcome pathways to develop meaningful, robust, and actionable environmental monitoring programs. Integr Environ Assess Manag. 2017 Sep;13(5):877-891. doi: 10.1002/ieam.1938. Epub 2017 May 18. PMID: 28383771.
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The need for frank discussions about weight.

BMJ (Clinical research ed.)

Williams AN.
PMID: 26405043
BMJ. 2015 Sep 24;351:h5003. doi: 10.1136/bmj.h5003.

No abstract available.

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Williams AN. The need for frank discussions about weight. BMJ. 2015;351:h5003doi: 10.1136/bmj.h5003.
Williams, A. N. (2015). The need for frank discussions about weight. BMJ (Clinical research ed.), 351h5003. https://doi.org/10.1136/bmj.h5003
Williams, Anthony N. "The need for frank discussions about weight." BMJ (Clinical research ed.) vol. 351 (2015): h5003. doi: https://doi.org/10.1136/bmj.h5003
Williams AN. The need for frank discussions about weight. BMJ. 2015 Sep 24;351:h5003. doi: 10.1136/bmj.h5003. PMID: 26405043.
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A review of the literature and proposed classification on e-prescribing: Functions, assimilation stages, benefits, concerns, and risks.

Research in social & administrative pharmacy : RSAP

Esmaeil Zadeh P, Tremblay MC.
PMID: 25847858
Res Social Adm Pharm. 2016 Jan-Feb;12(1):1-19. doi: 10.1016/j.sapharm.2015.03.001. Epub 2015 Mar 14.

BACKGROUND: Evidence from the literature indicates that besides its benefits, e-prescribing also generates new types of unintended medication errors that have the potential to harm patient safety. Analyzing both the benefits and risks of e-prescribing can give health care...

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Esmaeil Zadeh P, Tremblay MC. A review of the literature and proposed classification on e-prescribing: Functions, assimilation stages, benefits, concerns, and risks. Res Social Adm Pharm. 2015;12(1):1-19doi: 10.1016/j.sapharm.2015.03.001.
Esmaeil Zadeh, P., & Tremblay, M. C. (2016). A review of the literature and proposed classification on e-prescribing: Functions, assimilation stages, benefits, concerns, and risks. Research in social & administrative pharmacy : RSAP, 12(1), 1-19. https://doi.org/10.1016/j.sapharm.2015.03.001
Esmaeil Zadeh, Pouyan, and Tremblay, Monica Chiarini. "A review of the literature and proposed classification on e-prescribing: Functions, assimilation stages, benefits, concerns, and risks." Research in social & administrative pharmacy : RSAP vol. 12,1 (2016): 1-19. doi: https://doi.org/10.1016/j.sapharm.2015.03.001
Esmaeil Zadeh P, Tremblay MC. A review of the literature and proposed classification on e-prescribing: Functions, assimilation stages, benefits, concerns, and risks. Res Social Adm Pharm. 2016 Jan-Feb;12(1):1-19. doi: 10.1016/j.sapharm.2015.03.001. Epub 2015 Mar 14. PMID: 25847858.
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Reply to Chiappetta et al.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery

Anzidei M, Sacconi B, Anile M, Catalano C.
PMID: 26201955
Eur J Cardiothorac Surg. 2016 Mar;49(3):1018-9. doi: 10.1093/ejcts/ezv251. Epub 2015 Jul 22.

No abstract available.

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Anzidei M, Sacconi B, Anile M, et al. Reply to Chiappetta et al. Eur J Cardiothorac Surg. 2015;49(3):1018-9doi: 10.1093/ejcts/ezv251.
Anzidei, M., Sacconi, B., Anile, M., & Catalano, C. (2016). Reply to Chiappetta et al. European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 49(3), 1018-9. https://doi.org/10.1093/ejcts/ezv251
Anzidei, Michele, et al. "Reply to Chiappetta et al." European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery vol. 49,3 (2016): 1018-9. doi: https://doi.org/10.1093/ejcts/ezv251
Anzidei M, Sacconi B, Anile M, Catalano C. Reply to Chiappetta et al. Eur J Cardiothorac Surg. 2016 Mar;49(3):1018-9. doi: 10.1093/ejcts/ezv251. Epub 2015 Jul 22. PMID: 26201955.
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Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database.

Studies in health technology and informatics

Nienhoff H, Huebner U, Frey A, Przysucha M, Kimura M.
PMID: 26262371
Stud Health Technol Inform. 2015;216:1072.

The aim of this study was to investigate whether standard Big Data mining methods lead to clinically useful results. An association analysis was performed using the apriori algorithm to discover associations among co-morbidities of diabetes patients. Selected data were...

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Nienhoff H, Huebner U, Frey A, et al. Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database. Stud Health Technol Inform. 2015;216:1072
Nienhoff, H., Huebner, U., Frey, A., Przysucha, M., & Kimura, M. (2015). Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database. Studies in health technology and informatics, 2161072.
Nienhoff, Hendrik, et al. "Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database." Studies in health technology and informatics vol. 216 (2015): 1072.
Nienhoff H, Huebner U, Frey A, Przysucha M, Kimura M. Restricted Versus Unrestricted Search Space: Experience from Mining a Large Japanese Database. Stud Health Technol Inform. 2015;216:1072. PMID: 26262371.
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Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort.

Annals of internal medicine

DeFilippis AP, Young R, Blaha MJ.
PMID: 26148287
Ann Intern Med. 2015 Jul 07;163(1):68-9. doi: 10.7326/L15-5105-2.

No abstract available.

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DeFilippis AP, Young R, Blaha MJ. Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort. Ann Intern Med. 2015;163(1):68-9doi: 10.7326/L15-5105-2.
DeFilippis, A. P., Young, R., & Blaha, M. J. (2015). Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort. Annals of internal medicine, 163(1), 68-9. https://doi.org/10.7326/L15-5105-2
DeFilippis, Andrew P, et al. "Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort." Annals of internal medicine vol. 163,1 (2015): 68-9. doi: https://doi.org/10.7326/L15-5105-2
DeFilippis AP, Young R, Blaha MJ. Calibration and Discrimination Among Multiple Cardiovascular Risk Scores in a Modern Multiethnic Cohort. Ann Intern Med. 2015 Jul 07;163(1):68-9. doi: 10.7326/L15-5105-2. PMID: 26148287.
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Using Uncertain Climate and Development Information in Health Adaptation Planning.

Current environmental health reports

Ebi KL, Hess JJ, Isaksen TB.
PMID: 26814795
Curr Environ Health Rep. 2016 Mar;3(1):99-105. doi: 10.1007/s40572-016-0077-0.

To aid health adaptation decision-making, there are increasing efforts to provide climate projections at finer temporal and spatial scales. Relying solely on projected climate changes for longer-term decisions makes the implicit assumption that sources of vulnerability other than climate...

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Ebi KL, Hess JJ, Isaksen TB. Using Uncertain Climate and Development Information in Health Adaptation Planning. Curr Environ Health Rep. 2016;3(1):99-105doi: 10.1007/s40572-016-0077-0.
Ebi, K. L., Hess, J. J., & Isaksen, T. B. (2016). Using Uncertain Climate and Development Information in Health Adaptation Planning. Current environmental health reports, 3(1), 99-105. https://doi.org/10.1007/s40572-016-0077-0
Ebi, Kristie L, et al. "Using Uncertain Climate and Development Information in Health Adaptation Planning." Current environmental health reports vol. 3,1 (2016): 99-105. doi: https://doi.org/10.1007/s40572-016-0077-0
Ebi KL, Hess JJ, Isaksen TB. Using Uncertain Climate and Development Information in Health Adaptation Planning. Curr Environ Health Rep. 2016 Mar;3(1):99-105. doi: 10.1007/s40572-016-0077-0. PMID: 26814795.
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Evaluating Risk Communication After the Fukushima Disaster Based on Nudge Theory.

Asia-Pacific journal of public health

Murakami M, Tsubokura M.
PMID: 28330399
Asia Pac J Public Health. 2017 Mar;29(2):193S-200S. doi: 10.1177/1010539517691338.

Using nudge theory and some examples of risk communication that followed the Fukushima disaster, this article discusses the influences and justifications of risk communication, in addition to how risk communication systems are designed. To assist people in making decisions...

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Murakami M, Tsubokura M. Evaluating Risk Communication After the Fukushima Disaster Based on Nudge Theory. Asia Pac J Public Health. 2017;29(2):193S-200Sdoi: 10.1177/1010539517691338.
Murakami, M., & Tsubokura, M. (2017). Evaluating Risk Communication After the Fukushima Disaster Based on Nudge Theory. Asia-Pacific journal of public health, 29(2), 193S-200S. https://doi.org/10.1177/1010539517691338
Murakami, Michio, and Tsubokura, Masaharu. "Evaluating Risk Communication After the Fukushima Disaster Based on Nudge Theory." Asia-Pacific journal of public health vol. 29,2 (2017): 193S-200S. doi: https://doi.org/10.1177/1010539517691338
Murakami M, Tsubokura M. Evaluating Risk Communication After the Fukushima Disaster Based on Nudge Theory. Asia Pac J Public Health. 2017 Mar;29(2):193S-200S. doi: 10.1177/1010539517691338. PMID: 28330399.
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Patient-Friendly Summary of the ACR Appropriateness Criteria: Asymptomatic Patient at Risk for Coronary Artery Disease.

Journal of the American College of Radiology : JACR

Quinlan C.
PMID: 29519637
J Am Coll Radiol. 2018 Jul;15(7):e9. doi: 10.1016/j.jacr.2017.09.032. Epub 2018 Mar 05.

No abstract available.

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Quinlan C. Patient-Friendly Summary of the ACR Appropriateness Criteria: Asymptomatic Patient at Risk for Coronary Artery Disease. J Am Coll Radiol. 2018;15(7):e9doi: 10.1016/j.jacr.2017.09.032.
Quinlan, C. (2018). Patient-Friendly Summary of the ACR Appropriateness Criteria: Asymptomatic Patient at Risk for Coronary Artery Disease. Journal of the American College of Radiology : JACR, 15(7), e9. https://doi.org/10.1016/j.jacr.2017.09.032
Quinlan, Casey. "Patient-Friendly Summary of the ACR Appropriateness Criteria: Asymptomatic Patient at Risk for Coronary Artery Disease." Journal of the American College of Radiology : JACR vol. 15,7 (2018): e9. doi: https://doi.org/10.1016/j.jacr.2017.09.032
Quinlan C. Patient-Friendly Summary of the ACR Appropriateness Criteria: Asymptomatic Patient at Risk for Coronary Artery Disease. J Am Coll Radiol. 2018 Jul;15(7):e9. doi: 10.1016/j.jacr.2017.09.032. Epub 2018 Mar 05. PMID: 29519637.
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The NAFL Risk Score: A simple scoring model to predict 4-y risk for non-alcoholic fatty liver.

Clinica chimica acta; international journal of clinical chemistry

Zhou YJ, Zheng JN, Liu WY, Miele L, Vitale A, Van Poucke S, Zou TT, Fang DH, Shen S, Zhang DC, Zheng MH.
PMID: 28111272
Clin Chim Acta. 2017 May;468:17-24. doi: 10.1016/j.cca.2017.01.021. Epub 2017 Jan 19.

BACKGROUND: Although several risk factors for non-alcoholic fatty liver (NAFL) have been reported, there are few clinical scores that predict its incidence in the long term. We developed and validate a scoring model for individual prediction of 4-y risk...

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Zhou YJ, Zheng JN, Liu WY, et al. The NAFL Risk Score: A simple scoring model to predict 4-y risk for non-alcoholic fatty liver. Clin Chim Acta. 2017;468:17-24doi: 10.1016/j.cca.2017.01.021.
Zhou, Y. J., Zheng, J. N., Liu, W. Y., Miele, L., Vitale, A., Van Poucke, S., Zou, T. T., Fang, D. H., Shen, S., Zhang, D. C., & Zheng, M. H. (2017). The NAFL Risk Score: A simple scoring model to predict 4-y risk for non-alcoholic fatty liver. Clinica chimica acta; international journal of clinical chemistry, 46817-24. https://doi.org/10.1016/j.cca.2017.01.021
Zhou, Yu-Jie, et al. "The NAFL Risk Score: A simple scoring model to predict 4-y risk for non-alcoholic fatty liver." Clinica chimica acta; international journal of clinical chemistry vol. 468 (2017): 17-24. doi: https://doi.org/10.1016/j.cca.2017.01.021
Zhou YJ, Zheng JN, Liu WY, Miele L, Vitale A, Van Poucke S, Zou TT, Fang DH, Shen S, Zhang DC, Zheng MH. The NAFL Risk Score: A simple scoring model to predict 4-y risk for non-alcoholic fatty liver. Clin Chim Acta. 2017 May;468:17-24. doi: 10.1016/j.cca.2017.01.021. Epub 2017 Jan 19. PMID: 28111272.
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Showing 1 to 12 of 1555 entries