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Fascicular heart blocks and risk of adverse cardiovascular outcomes: Results from a large primary care population.

Heart rhythm

Nyholm BC, Ghouse J, Lee CJ, Rasmussen PV, Pietersen A, Hansen SM, Torp-Pedersen C, Køber L, Haunsø S, Olesen MS, Svendsen JH, Graff C, Holst AG, Nielsen JB, Skov MW.
PMID: 34673253
Heart Rhythm. 2021 Oct 19; doi: 10.1016/j.hrthm.2021.09.041. Epub 2021 Oct 19.

BACKGROUND: Fascicular heart blocks can progress to complete heart blocks, but this risk has not been evaluated in a large general population.OBJECTIVE: The purpose of this study was to investigate the association between various types of fascicular blocks diagnosed...

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Nyholm BC, Ghouse J, Lee CJ, et al. Fascicular heart blocks and risk of adverse cardiovascular outcomes: Results from a large primary care population. Heart Rhythm. 2021;doi: 10.1016/j.hrthm.2021.09.041.
Nyholm, B. C., Ghouse, J., Lee, C. J., Rasmussen, P. V., Pietersen, A., Hansen, S. M., Torp-Pedersen, C., Køber, L., Haunsø, S., Olesen, M. S., Svendsen, J. H., Graff, C., Holst, A. G., Nielsen, J. B., & Skov, M. W. (2021). Fascicular heart blocks and risk of adverse cardiovascular outcomes: Results from a large primary care population. Heart rhythm, . https://doi.org/10.1016/j.hrthm.2021.09.041
Nyholm, Benjamin Chris, et al. "Fascicular heart blocks and risk of adverse cardiovascular outcomes: Results from a large primary care population." Heart rhythm vol. (2021). doi: https://doi.org/10.1016/j.hrthm.2021.09.041
Nyholm BC, Ghouse J, Lee CJ, Rasmussen PV, Pietersen A, Hansen SM, Torp-Pedersen C, Køber L, Haunsø S, Olesen MS, Svendsen JH, Graff C, Holst AG, Nielsen JB, Skov MW. Fascicular heart blocks and risk of adverse cardiovascular outcomes: Results from a large primary care population. Heart Rhythm. 2021 Oct 19; doi: 10.1016/j.hrthm.2021.09.041. Epub 2021 Oct 19. PMID: 34673253.
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Zooming In Versus Flying Out: Virtual Residency Interviews in the Era of COVID-19.

AEM education and training

Davis MG, Haas MRC, Gottlieb M, House JB, Huang RD, Hopson LR.
PMID: 33150292
AEM Educ Train. 2020 Jun 27;4(4):443-446. doi: 10.1002/aet2.10486. eCollection 2020 Oct.

No abstract available.

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Davis MG, Haas MRC, Gottlieb M, et al. Zooming In Versus Flying Out: Virtual Residency Interviews in the Era of COVID-19. AEM Educ Train. 2020;4(4):443-446doi: 10.1002/aet2.10486.
Davis, M. G., Haas, M. R. C., Gottlieb, M., House, J. B., Huang, R. D., & Hopson, L. R. (2020). Zooming In Versus Flying Out: Virtual Residency Interviews in the Era of COVID-19. AEM education and training, 4(4), 443-446. https://doi.org/10.1002/aet2.10486
Davis, Mallory G, et al. "Zooming In Versus Flying Out: Virtual Residency Interviews in the Era of COVID-19." AEM education and training vol. 4,4 (2020): 443-446. doi: https://doi.org/10.1002/aet2.10486
Davis MG, Haas MRC, Gottlieb M, House JB, Huang RD, Hopson LR. Zooming In Versus Flying Out: Virtual Residency Interviews in the Era of COVID-19. AEM Educ Train. 2020 Jun 27;4(4):443-446. doi: 10.1002/aet2.10486. eCollection 2020 Oct. PMID: 33150292; PMCID: PMC7592818.
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The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning.

medRxiv : the preprint server for health sciences

Marvel SW, House JS, Wheeler M, Song K, Zhou Y, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM.
PMID: 32817964
medRxiv. 2020 Sep 13; doi: 10.1101/2020.08.10.20169649.

BACKGROUND: While the COVID-19 pandemic presents a global challenge, the U.S. response places substantial responsibility for both decision-making and communication on local health authorities, necessitating tools to support decision-making at the community level.OBJECTIVES: We created a Pandemic Vulnerability Index...

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Marvel SW, House JS, Wheeler M, et al. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. medRxiv. 2020;doi: 10.1101/2020.08.10.20169649.
Marvel, S. W., House, J. S., Wheeler, M., Song, K., Zhou, Y., Wright, F. A., Chiu, W. A., Rusyn, I., Motsinger-Reif, A., & Reif, D. M. (2020). The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. medRxiv : the preprint server for health sciences, . https://doi.org/10.1101/2020.08.10.20169649
Marvel, Skylar W, et al. "The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning." medRxiv : the preprint server for health sciences vol. (2020). doi: https://doi.org/10.1101/2020.08.10.20169649
Marvel SW, House JS, Wheeler M, Song K, Zhou Y, Wright FA, Chiu WA, Rusyn I, Motsinger-Reif A, Reif DM. The COVID-19 Pandemic Vulnerability Index (PVI) Dashboard: Monitoring county-level vulnerability using visualization, statistical modeling, and machine learning. medRxiv. 2020 Sep 13; doi: 10.1101/2020.08.10.20169649. PMID: 32817964; PMCID: PMC7430608.
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DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine.

Scientific reports

Thambawita V, Isaksen JL, Hicks SA, Ghouse J, Ahlberg G, Linneberg A, Grarup N, Ellervik C, Olesen MS, Hansen T, Graff C, Holstein-Rathlou NH, Strümke I, Hammer HL, Maleckar MM, Halvorsen P, Riegler MA, Kanters JK.
PMID: 34753975
Sci Rep. 2021 Nov 09;11(1):21896. doi: 10.1038/s41598-021-01295-2.

Recent global developments underscore the prominent role big data have in modern medical science. But privacy issues constitute a prevalent problem for collecting and sharing data between researchers. However, synthetic data generated to represent real data carrying similar information...

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Thambawita V, Isaksen JL, Hicks SA, et al. DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Sci Rep. 2021;11(1):21896doi: 10.1038/s41598-021-01295-2.
Thambawita, V., Isaksen, J. L., Hicks, S. A., Ghouse, J., Ahlberg, G., Linneberg, A., Grarup, N., Ellervik, C., Olesen, M. S., Hansen, T., Graff, C., Holstein-Rathlou, N. H., Strümke, I., Hammer, H. L., Maleckar, M. M., Halvorsen, P., Riegler, M. A., & Kanters, J. K. (2021). DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Scientific reports, 11(1), 21896. https://doi.org/10.1038/s41598-021-01295-2
Thambawita, Vajira, et al. "DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine." Scientific reports vol. 11,1 (2021): 21896. doi: https://doi.org/10.1038/s41598-021-01295-2
Thambawita V, Isaksen JL, Hicks SA, Ghouse J, Ahlberg G, Linneberg A, Grarup N, Ellervik C, Olesen MS, Hansen T, Graff C, Holstein-Rathlou NH, Strümke I, Hammer HL, Maleckar MM, Halvorsen P, Riegler MA, Kanters JK. DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Sci Rep. 2021 Nov 09;11(1):21896. doi: 10.1038/s41598-021-01295-2. PMID: 34753975; PMCID: PMC8578227.
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Self-denigrating terms.

Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC

Houle SK, Grindrod KA.
PMID: 25364345
Can Pharm J (Ott). 2014 Nov;147(6):328. doi: 10.1177/1715163514552645.

No abstract available.

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Houle SK, Grindrod KA. Self-denigrating terms. Can Pharm J (Ott). 2014;147(6):328doi: 10.1177/1715163514552645.
Houle, S. K., & Grindrod, K. A. (2014). Self-denigrating terms. Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC, 147(6), 328. https://doi.org/10.1177/1715163514552645
Houle, Sherilyn K D, and Grindrod, Kelly A. "Self-denigrating terms." Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC vol. 147,6 (2014): 328. doi: https://doi.org/10.1177/1715163514552645
Houle SK, Grindrod KA. Self-denigrating terms. Can Pharm J (Ott). 2014 Nov;147(6):328. doi: 10.1177/1715163514552645. PMID: 25364345; PMCID: PMC4213260.
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Why and when is status inconsistency stressful?.

AJS; American journal of sociology

House JS, Harkins EB.
PMID: 1242872
AJS. 1975 Sep;81(2):395-412. doi: 10.1086/226079.

No abstract available.

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House JS, Harkins EB. Why and when is status inconsistency stressful?. AJS. 1975;81(2):395-412doi: 10.1086/226079.
House, J. S., & Harkins, E. B. (1975). Why and when is status inconsistency stressful?. AJS; American journal of sociology, 81(2), 395-412. https://doi.org/10.1086/226079
House, J S, and Harkins, E B. "Why and when is status inconsistency stressful?." AJS; American journal of sociology vol. 81,2 (1975): 395-412. doi: https://doi.org/10.1086/226079
House JS, Harkins EB. Why and when is status inconsistency stressful?. AJS. 1975 Sep;81(2):395-412. doi: 10.1086/226079. PMID: 1242872.
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Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (.

Ecology and evolution

Phillips EM, Horne JK, Zamon JE, Felis JJ, Adams J.
PMID: 31031946
Ecol Evol. 2019 Mar 26;9(8):4805-4819. doi: 10.1002/ece3.5083. eCollection 2019 Apr.

Studies estimating species' distributions require information about animal locations in space and time. Location data can be collected using surveys within a predetermined frame of reference (i.e., Eulerian sampling) or from animal-borne tracking devices (i.e., Lagrangian sampling). Integration of...

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Phillips EM, Horne JK, Zamon JE, et al. Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (. Ecol Evol. 2019;9(8):4805-4819doi: 10.1002/ece3.5083.
Phillips, E. M., Horne, J. K., Zamon, J. E., Felis, J. J., & Adams, J. (2019). Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (. Ecology and evolution, 9(8), 4805-4819. https://doi.org/10.1002/ece3.5083
Phillips, Elizabeth M, et al. "Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (." Ecology and evolution vol. 9,8 (2019): 4805-4819. doi: https://doi.org/10.1002/ece3.5083
Phillips EM, Horne JK, Zamon JE, Felis JJ, Adams J. Does perspective matter? A case study comparing Eulerian and Lagrangian estimates of common murre (. Ecol Evol. 2019 Mar 26;9(8):4805-4819. doi: 10.1002/ece3.5083. eCollection 2019 Apr. PMID: 31031946; PMCID: PMC6476790.
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In Crisis: Medical Students in the COVID-19 Pandemic.

AEM education and training

Khamees D, Brown CA, Arribas M, Murphey AC, Haas MRC, House JB.
PMID: 32704600
AEM Educ Train. 2020 Apr 25;4(3):284-290. doi: 10.1002/aet2.10450. eCollection 2020 Jul.

No abstract available.

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Khamees D, Brown CA, Arribas M, et al. In Crisis: Medical Students in the COVID-19 Pandemic. AEM Educ Train. 2020;4(3):284-290doi: 10.1002/aet2.10450.
Khamees, D., Brown, C. A., Arribas, M., Murphey, A. C., Haas, M. R. C., & House, J. B. (2020). In Crisis: Medical Students in the COVID-19 Pandemic. AEM education and training, 4(3), 284-290. https://doi.org/10.1002/aet2.10450
Khamees, Deena, et al. "In Crisis: Medical Students in the COVID-19 Pandemic." AEM education and training vol. 4,3 (2020): 284-290. doi: https://doi.org/10.1002/aet2.10450
Khamees D, Brown CA, Arribas M, Murphey AC, Haas MRC, House JB. In Crisis: Medical Students in the COVID-19 Pandemic. AEM Educ Train. 2020 Apr 25;4(3):284-290. doi: 10.1002/aet2.10450. eCollection 2020 Jul. PMID: 32704600; PMCID: PMC7369493.
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Assessment Measures for Child and Adolescent Eating Disorders: A Review.

Child and adolescent mental health

Micali N, House J.
PMID: 32847215
Child Adolesc Ment Health. 2011 May;16(2):122-127. doi: 10.1111/j.1475-3588.2010.00579.x. Epub 2010 Oct 05.

BACKGROUND:   Several diagnostic and screening instruments are available for child and adolescent eating disorders. However, limitations have been identified in many of these.METHOD:   We review the most frequently used assessment measures for eating disorders in children and adolescents.RESULTS:   Several...

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Micali N, House J. Assessment Measures for Child and Adolescent Eating Disorders: A Review. Child Adolesc Ment Health. 2010;16(2):122-127doi: 10.1111/j.1475-3588.2010.00579.x.
Micali, N., & House, J. (2011). Assessment Measures for Child and Adolescent Eating Disorders: A Review. Child and adolescent mental health, 16(2), 122-127. https://doi.org/10.1111/j.1475-3588.2010.00579.x
Micali, Nadia, and House, Jennifer. "Assessment Measures for Child and Adolescent Eating Disorders: A Review." Child and adolescent mental health vol. 16,2 (2011): 122-127. doi: https://doi.org/10.1111/j.1475-3588.2010.00579.x
Micali N, House J. Assessment Measures for Child and Adolescent Eating Disorders: A Review. Child Adolesc Ment Health. 2011 May;16(2):122-127. doi: 10.1111/j.1475-3588.2010.00579.x. Epub 2010 Oct 05. PMID: 32847215.
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Notes from the Field: Hantavirus Pulmonary Syndrome - Denver, Colorado, 2018.

MMWR. Morbidity and mortality weekly report

Tobolowsky F, Burakoff A, House J, Marzec N, Neumeier A, Sparks P, McLees M.
PMID: 31487276
MMWR Morb Mortal Wkly Rep. 2019 Sep 06;68(35):771-772. doi: 10.15585/mmwr.mm6835a5.

No abstract available.

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Tobolowsky F, Burakoff A, House J, et al. Notes from the Field: Hantavirus Pulmonary Syndrome - Denver, Colorado, 2018. MMWR Morb Mortal Wkly Rep. 2019;68(35):771-772doi: 10.15585/mmwr.mm6835a5.
Tobolowsky, F., Burakoff, A., House, J., Marzec, N., Neumeier, A., Sparks, P., & McLees, M. (2019). Notes from the Field: Hantavirus Pulmonary Syndrome - Denver, Colorado, 2018. MMWR. Morbidity and mortality weekly report, 68(35), 771-772. https://doi.org/10.15585/mmwr.mm6835a5
Tobolowsky, Farrell, et al. "Notes from the Field: Hantavirus Pulmonary Syndrome - Denver, Colorado, 2018." MMWR. Morbidity and mortality weekly report vol. 68,35 (2019): 771-772. doi: https://doi.org/10.15585/mmwr.mm6835a5
Tobolowsky F, Burakoff A, House J, Marzec N, Neumeier A, Sparks P, McLees M. Notes from the Field: Hantavirus Pulmonary Syndrome - Denver, Colorado, 2018. MMWR Morb Mortal Wkly Rep. 2019 Sep 06;68(35):771-772. doi: 10.15585/mmwr.mm6835a5. PMID: 31487276.
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Online Adaptation to Altered Auditory Feedback Is Predicted by Auditory Acuity and Not by Domain-General Executive Control Resources.

Frontiers in human neuroscience

Martin CD, Niziolek CA, Duñabeitia JA, Perez A, Hernandez D, Carreiras M, Houde JF.
PMID: 29593516
Front Hum Neurosci. 2018 Mar 12;12:91. doi: 10.3389/fnhum.2018.00091. eCollection 2018.

When a speaker's auditory feedback is altered, he adapts for the perturbation by altering his own production, which demonstrates the role of auditory feedback in speech motor control. In the present study, we explored the role of auditory acuity...

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Martin CD, Niziolek CA, Duñabeitia JA, et al. Online Adaptation to Altered Auditory Feedback Is Predicted by Auditory Acuity and Not by Domain-General Executive Control Resources. Front Hum Neurosci. 2018;12:91doi: 10.3389/fnhum.2018.00091.
Martin, C. D., Niziolek, C. A., Duñabeitia, J. A., Perez, A., Hernandez, D., Carreiras, M., & Houde, J. F. (2018). Online Adaptation to Altered Auditory Feedback Is Predicted by Auditory Acuity and Not by Domain-General Executive Control Resources. Frontiers in human neuroscience, 1291. https://doi.org/10.3389/fnhum.2018.00091
Martin, Clara D, et al. "Online Adaptation to Altered Auditory Feedback Is Predicted by Auditory Acuity and Not by Domain-General Executive Control Resources." Frontiers in human neuroscience vol. 12 (2018): 91. doi: https://doi.org/10.3389/fnhum.2018.00091
Martin CD, Niziolek CA, Duñabeitia JA, Perez A, Hernandez D, Carreiras M, Houde JF. Online Adaptation to Altered Auditory Feedback Is Predicted by Auditory Acuity and Not by Domain-General Executive Control Resources. Front Hum Neurosci. 2018 Mar 12;12:91. doi: 10.3389/fnhum.2018.00091. eCollection 2018. PMID: 29593516; PMCID: PMC5857594.
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Social Determinants and Disparities in Health: Their Crucifixion, Resurrection, and Ultimate Triumph(?) in Health Policy.

Journal of health politics, policy and law

House JS.
PMID: 27127266
J Health Polit Policy Law. 2016 Aug;41(4):599-626. doi: 10.1215/03616878-3620845. Epub 2016 Apr 28.

David Mechanic has been a principal founder of modern sociological and social science approaches to health, especially in relation to health policy. These approaches have since the 1950s and 1960s resurrected ideas that had currency in the mid-nineteenth century...

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House JS. Social Determinants and Disparities in Health: Their Crucifixion, Resurrection, and Ultimate Triumph(?) in Health Policy. J Health Polit Policy Law. 2016;41(4):599-626doi: 10.1215/03616878-3620845.
House, J. S. (2016). Social Determinants and Disparities in Health: Their Crucifixion, Resurrection, and Ultimate Triumph(?) in Health Policy. Journal of health politics, policy and law, 41(4), 599-626. https://doi.org/10.1215/03616878-3620845
House, James S. "Social Determinants and Disparities in Health: Their Crucifixion, Resurrection, and Ultimate Triumph(?) in Health Policy." Journal of health politics, policy and law vol. 41,4 (2016): 599-626. doi: https://doi.org/10.1215/03616878-3620845
House JS. Social Determinants and Disparities in Health: Their Crucifixion, Resurrection, and Ultimate Triumph(?) in Health Policy. J Health Polit Policy Law. 2016 Aug;41(4):599-626. doi: 10.1215/03616878-3620845. Epub 2016 Apr 28. PMID: 27127266.
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Showing 25 to 36 of 161 entries