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Showing 13 to 24 of 204 entries
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An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation.

PloS one

Nguyen HT, Md Dawal SZ, Nukman Y, Aoyama H, Case K.
PMID: 26368541
PLoS One. 2015 Sep 14;10(9):e0133599. doi: 10.1371/journal.pone.0133599. eCollection 2015.

Globalization of business and competitiveness in manufacturing has forced companies to improve their manufacturing facilities to respond to market requirements. Machine tool evaluation involves an essential decision using imprecise and vague information, and plays a major role to improve...

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Nguyen HT, Md Dawal SZ, Nukman Y, et al. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation. PLoS One. 2015;10(9):e0133599doi: 10.1371/journal.pone.0133599.
Nguyen, H. T., Md Dawal, S. Z., Nukman, Y., Aoyama, H., & Case, K. (2015). An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation. PloS one, 10(9), e0133599. https://doi.org/10.1371/journal.pone.0133599
Nguyen, Huu-Tho, et al. "An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation." PloS one vol. 10,9 (2015): e0133599. doi: https://doi.org/10.1371/journal.pone.0133599
Nguyen HT, Md Dawal SZ, Nukman Y, Aoyama H, Case K. An Integrated Approach of Fuzzy Linguistic Preference Based AHP and Fuzzy COPRAS for Machine Tool Evaluation. PLoS One. 2015 Sep 14;10(9):e0133599. doi: 10.1371/journal.pone.0133599. eCollection 2015. PMID: 26368541; PMCID: PMC4569346.
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A Systematic Review of Research Guidelines in Decision-Analytic Modeling.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research

Ramos MC, Barton P, Jowett S, Sutton AJ.
PMID: 26091606
Value Health. 2015 Jun;18(4):512-29. doi: 10.1016/j.jval.2014.12.014. Epub 2015 Feb 07.

BACKGROUND: Decision-analytic modeling (DAM) has been increasingly used to aid decision making in health care. The growing use of modeling in economic evaluations has led to increased scrutiny of the methods used.OBJECTIVE: The objective of this study was to...

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Ramos MC, Barton P, Jowett S, et al. A Systematic Review of Research Guidelines in Decision-Analytic Modeling. Value Health. 2015;18(4):512-29doi: 10.1016/j.jval.2014.12.014.
Ramos, M. C., Barton, P., Jowett, S., & Sutton, A. J. (2015). A Systematic Review of Research Guidelines in Decision-Analytic Modeling. Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 18(4), 512-29. https://doi.org/10.1016/j.jval.2014.12.014
Ramos, Maria Cristina Peñaloza, et al. "A Systematic Review of Research Guidelines in Decision-Analytic Modeling." Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research vol. 18,4 (2015): 512-29. doi: https://doi.org/10.1016/j.jval.2014.12.014
Ramos MC, Barton P, Jowett S, Sutton AJ. A Systematic Review of Research Guidelines in Decision-Analytic Modeling. Value Health. 2015 Jun;18(4):512-29. doi: 10.1016/j.jval.2014.12.014. Epub 2015 Feb 07. PMID: 26091606.
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Ten-minute chat.

The Veterinary record

Hastie P, Murray JA.
PMID: 28235944
Vet Rec. 2017 Feb 25;180(8):ii. doi: 10.1136/vr.i926.

Peter Hastie and Jo-Anne Murray have developed an app called 'Be a vet' to help anyone who is considering a career in veterinary medicine to decide whether it is right for them.

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Hastie P, Murray JA. Ten-minute chat. Vet Rec. 2017;180(8):iidoi: 10.1136/vr.i926.
Hastie, P., & Murray, J. A. (2017). Ten-minute chat. The Veterinary record, 180(8), ii. https://doi.org/10.1136/vr.i926
Hastie, Peter, and Murray, Jo-Anne. "Ten-minute chat." The Veterinary record vol. 180,8 (2017): ii. doi: https://doi.org/10.1136/vr.i926
Hastie P, Murray JA. Ten-minute chat. Vet Rec. 2017 Feb 25;180(8):ii. doi: 10.1136/vr.i926. PMID: 28235944.
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[Medical emergencies of the child. The "traffic light": an educational tool to prevent suboptimal care In pediatric emergency department].

La Revue du praticien

Gras-Le Guen C, Launay É.
PMID: 26165095
Rev Prat. 2015 May;65(5):625-6.

No abstract available.

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Gras-Le Guen C, Launay É. Urgences médicales de l'enfant. Les "feux tricolors" : un outil pédagogique pour prévenir des "soins suboptimaux". [Medical emergencies of the child. The "traffic light": an educational tool to prevent suboptimal care In pediatric emergency department]. Rev Prat. 2015;65(5):625-6
Gras-Le Guen, C., & Launay, �. �. (2015). Urgences médicales de l'enfant. Les "feux tricolors" : un outil pédagogique pour prévenir des "soins suboptimaux". [Medical emergencies of the child. The "traffic light": an educational tool to prevent suboptimal care In pediatric emergency department]. La Revue du praticien, 65(5), 625-6.
Gras-Le Guen, Christèle, and Launay, Élise. "Urgences médicales de l'enfant. Les "feux tricolors" : un outil pédagogique pour prévenir des "soins suboptimaux"." [Medical emergencies of the child. The "traffic light": an educational tool to prevent suboptimal care In pediatric emergency department]. La Revue du praticien vol. 65,5 (2015): 625-6.
Gras-Le Guen C, Launay É. Urgences médicales de l'enfant. Les "feux tricolors" : un outil pédagogique pour prévenir des "soins suboptimaux". [Medical emergencies of the child. The "traffic light": an educational tool to prevent suboptimal care In pediatric emergency department]. Rev Prat. 2015 May;65(5):625-6. French. PMID: 26165095.
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The Chronic Care Model to Improve Management of Childhood Obesity.

Clinical pediatrics

Cygan H, Reed M, Lui K, Mullen M.
PMID: 29019281
Clin Pediatr (Phila). 2018 Jun;57(6):727-732. doi: 10.1177/0009922817734357. Epub 2017 Oct 11.

One-third of children in the United States are overweight or obese. Comorbidities continue into adulthood if a healthy weight is not established. While expert guidelines for management of this condition are recognized, provider adherence to guidelines is lacking. The...

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Cygan H, Reed M, Lui K, et al. The Chronic Care Model to Improve Management of Childhood Obesity. Clin Pediatr (Phila). 2017;57(6):727-732doi: 10.1177/0009922817734357.
Cygan, H., Reed, M., Lui, K., & Mullen, M. (2018). The Chronic Care Model to Improve Management of Childhood Obesity. Clinical pediatrics, 57(6), 727-732. https://doi.org/10.1177/0009922817734357
Cygan, Heide, et al. "The Chronic Care Model to Improve Management of Childhood Obesity." Clinical pediatrics vol. 57,6 (2018): 727-732. doi: https://doi.org/10.1177/0009922817734357
Cygan H, Reed M, Lui K, Mullen M. The Chronic Care Model to Improve Management of Childhood Obesity. Clin Pediatr (Phila). 2018 Jun;57(6):727-732. doi: 10.1177/0009922817734357. Epub 2017 Oct 11. PMID: 29019281.
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Predictors for mortality due to acute exacerbation of COPD in primary care: protocol for the derivation of a clinical prediction rule.

NPJ primary care respiratory medicine

Alameda C, Carlos Matía Á, Casado V.
PMID: 27763596
NPJ Prim Care Respir Med. 2016 Oct 20;26:16070. doi: 10.1038/npjpcrm.2016.70.

No abstract available.

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Alameda C, Carlos Matía Á, Casado V. Predictors for mortality due to acute exacerbation of COPD in primary care: protocol for the derivation of a clinical prediction rule. NPJ Prim Care Respir Med. 2016;26:16070doi: 10.1038/npjpcrm.2016.70.
Alameda, C., Carlos Matía, �. �., & Casado, V. (2016). Predictors for mortality due to acute exacerbation of COPD in primary care: protocol for the derivation of a clinical prediction rule. NPJ primary care respiratory medicine, 2616070. https://doi.org/10.1038/npjpcrm.2016.70
Alameda, César, et al. "Predictors for mortality due to acute exacerbation of COPD in primary care: protocol for the derivation of a clinical prediction rule." NPJ primary care respiratory medicine vol. 26 (2016): 16070. doi: https://doi.org/10.1038/npjpcrm.2016.70
Alameda C, Carlos Matía Á, Casado V. Predictors for mortality due to acute exacerbation of COPD in primary care: protocol for the derivation of a clinical prediction rule. NPJ Prim Care Respir Med. 2016 Oct 20;26:16070. doi: 10.1038/npjpcrm.2016.70. PMID: 27763596; PMCID: PMC5072386.
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When is low-risk chest pain acceptable risk chest pain?.

Heart (British Cardiac Society)

Brace-McDonnell SJ, Laing S.
PMID: 24947317
Heart. 2014 Sep 15;100(18):1402-3. doi: 10.1136/heartjnl-2014-306177. Epub 2014 Jun 19.

No abstract available.

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Brace-McDonnell SJ, Laing S. When is low-risk chest pain acceptable risk chest pain?. Heart. 2014;100(18):1402-3doi: 10.1136/heartjnl-2014-306177.
Brace-McDonnell, S. J., & Laing, S. (2014). When is low-risk chest pain acceptable risk chest pain?. Heart (British Cardiac Society), 100(18), 1402-3. https://doi.org/10.1136/heartjnl-2014-306177
Brace-McDonnell, Samantha J, and Laing, Simon. "When is low-risk chest pain acceptable risk chest pain?." Heart (British Cardiac Society) vol. 100,18 (2014): 1402-3. doi: https://doi.org/10.1136/heartjnl-2014-306177
Brace-McDonnell SJ, Laing S. When is low-risk chest pain acceptable risk chest pain?. Heart. 2014 Sep 15;100(18):1402-3. doi: 10.1136/heartjnl-2014-306177. Epub 2014 Jun 19. PMID: 24947317.
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Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD).

Annals of internal medicine

Burke HB.
PMID: 25984856
Ann Intern Med. 2015 May 19;162(10):735. doi: 10.7326/L15-5093.

No abstract available.

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Burke HB. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD). Ann Intern Med. 2015;162(10):735doi: 10.7326/L15-5093.
Burke, H. B. (2015). Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD). Annals of internal medicine, 162(10), 735. https://doi.org/10.7326/L15-5093
Burke, Harry B. "Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD)." Annals of internal medicine vol. 162,10 (2015): 735. doi: https://doi.org/10.7326/L15-5093
Burke HB. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD). Ann Intern Med. 2015 May 19;162(10):735. doi: 10.7326/L15-5093. PMID: 25984856.
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Estimating Health State Utility Values for Comorbidities.

PharmacoEconomics

Ara R, Brazier J.
PMID: 29052158
Pharmacoeconomics. 2017 Dec;35:89-94. doi: 10.1007/s40273-017-0551-z.

A comorbidity is defined as the presence of at least one additional health condition co-occurring with a primary health condition. Decision analytic models in healthcare depict the typical clinical pathway of patients in general clinical practice and frequently include...

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Ara R, Brazier J. Estimating Health State Utility Values for Comorbidities. Pharmacoeconomics. 2017;35:89-94doi: 10.1007/s40273-017-0551-z.
Ara, R., & Brazier, J. (2017). Estimating Health State Utility Values for Comorbidities. PharmacoEconomics, 3589-94. https://doi.org/10.1007/s40273-017-0551-z
Ara, Roberta, and Brazier, John. "Estimating Health State Utility Values for Comorbidities." PharmacoEconomics vol. 35 (2017): 89-94. doi: https://doi.org/10.1007/s40273-017-0551-z
Ara R, Brazier J. Estimating Health State Utility Values for Comorbidities. Pharmacoeconomics. 2017 Dec;35:89-94. doi: 10.1007/s40273-017-0551-z. PMID: 29052158.
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Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method.

International journal of health care quality assurance

Ajmera P.
PMID: 28958199
Int J Health Care Qual Assur. 2017 Oct 09;30(8):668-679. doi: 10.1108/IJHCQA-05-2016-0073.

Purpose Organizations have to evaluate their internal and external environments in this highly competitive world. Strengths, weaknesses, opportunities and threats (SWOT) analysis is a very useful technique which analyzes the strengths, weaknesses, opportunities and threats of an organization for...

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Ajmera P. Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method. Int J Health Care Qual Assur. 2017;30(8):668-679doi: 10.1108/IJHCQA-05-2016-0073.
Ajmera, P. (2017). Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method. International journal of health care quality assurance, 30(8), 668-679. https://doi.org/10.1108/IJHCQA-05-2016-0073
Ajmera, Puneeta. "Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method." International journal of health care quality assurance vol. 30,8 (2017): 668-679. doi: https://doi.org/10.1108/IJHCQA-05-2016-0073
Ajmera P. Ranking the strategies for Indian medical tourism sector through the integration of SWOT analysis and TOPSIS method. Int J Health Care Qual Assur. 2017 Oct 09;30(8):668-679. doi: 10.1108/IJHCQA-05-2016-0073. PMID: 28958199.
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Evidence & Gap Maps: A tool for promoting evidence informed policy and strategic research agendas.

Journal of clinical epidemiology

Snilstveit B, Vojtkova M, Bhavsar A, Stevenson J, Gaarder M.
PMID: 27387966
J Clin Epidemiol. 2016 Nov;79:120-129. doi: 10.1016/j.jclinepi.2016.05.015. Epub 2016 Jul 04.

A range of organizations are engaged in the production of evidence on the effects of health, social, and economic development programs on human welfare outcomes. However, evidence is often scattered around different databases, web sites, and the gray literature...

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Snilstveit B, Vojtkova M, Bhavsar A, et al. Evidence & Gap Maps: A tool for promoting evidence informed policy and strategic research agendas. J Clin Epidemiol. 2016;79:120-129doi: 10.1016/j.jclinepi.2016.05.015.
Snilstveit, B., Vojtkova, M., Bhavsar, A., Stevenson, J., & Gaarder, M. (2016). Evidence & Gap Maps: A tool for promoting evidence informed policy and strategic research agendas. Journal of clinical epidemiology, 79120-129. https://doi.org/10.1016/j.jclinepi.2016.05.015
Snilstveit, Birte, et al. "Evidence & Gap Maps: A tool for promoting evidence informed policy and strategic research agendas." Journal of clinical epidemiology vol. 79 (2016): 120-129. doi: https://doi.org/10.1016/j.jclinepi.2016.05.015
Snilstveit B, Vojtkova M, Bhavsar A, Stevenson J, Gaarder M. Evidence & Gap Maps: A tool for promoting evidence informed policy and strategic research agendas. J Clin Epidemiol. 2016 Nov;79:120-129. doi: 10.1016/j.jclinepi.2016.05.015. Epub 2016 Jul 04. PMID: 27387966.
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The clinical usefulness of prognostic prediction models in critical illness.

European journal of internal medicine

Baker T, Gerdin M.
PMID: 28935477
Eur J Intern Med. 2017 Nov;45:37-40. doi: 10.1016/j.ejim.2017.09.012. Epub 2017 Sep 19.

Critical illness is any immediately life-threatening disease or trauma and results in several million deaths globally every year. Responsive hospital systems for managing critical illness include quick and accurate identification of the critically ill patients. Prognostic prediction models are...

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Baker T, Gerdin M. The clinical usefulness of prognostic prediction models in critical illness. Eur J Intern Med. 2017;45:37-40doi: 10.1016/j.ejim.2017.09.012.
Baker, T., & Gerdin, M. (2017). The clinical usefulness of prognostic prediction models in critical illness. European journal of internal medicine, 4537-40. https://doi.org/10.1016/j.ejim.2017.09.012
Baker, Tim, and Gerdin, Martin. "The clinical usefulness of prognostic prediction models in critical illness." European journal of internal medicine vol. 45 (2017): 37-40. doi: https://doi.org/10.1016/j.ejim.2017.09.012
Baker T, Gerdin M. The clinical usefulness of prognostic prediction models in critical illness. Eur J Intern Med. 2017 Nov;45:37-40. doi: 10.1016/j.ejim.2017.09.012. Epub 2017 Sep 19. PMID: 28935477.
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Showing 13 to 24 of 204 entries