Vavilala, Monica S
University of Washington · Harborview Injury Prevention and Research Center
11 papers on CoChatORCID 0000-0002-2354-5279
Most cited papers
- Verified
Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010
Murray, C. J. L., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al. (2012) · The Lancet
Global Health and EpidemiologyHealth Systems, Economic Evaluations, Quality of Life
Cited by 8,888
- Verified
Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010
Vos, T., Flaxman, A. D., Naghavi, M., Lozano, R., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., Aboyans, V., et al. (2012) · The Lancet
Global Health and EpidemiologyHealth Systems, Economic Evaluations, Quality of Life
Cited by 8,291
- Verified
Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
Vos, T., Barber, R. M., Bell, B., Bertozzi-Villa, A., Biryukov, S., Bolliger, I., Charlson, F., Davis, A., Degenhardt, L., Dicker, D., et al. (2015) · The Lancet
Global Health and EpidemiologyInsurance, Mortality, Demography, Risk Management
Cited by 6,414
- Verified
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
Forouzanfar, M. H., Alexander, L., Anderson, H. R., Bachman, V. F., Biryukov, S., Brauer, M., Burnett, R., Casey, D., Coates, M. M., Cohen, A., et al. (2015) · The Lancet
Cardiovascular Health and Risk FactorsGlobal Health and Epidemiology
Cited by 2,701
- Verified
Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
Lundberg, S. M., Nair, B., Vavilala, M. S., Horibe, M., Eisses, M. J., Adams, T., Liston, D. E., Low, D. K.-W., Newman, S.-F., Kim, J., et al. (2018) · Nature Biomedical Engineering
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 1,967
- Verified
Global, regional, and national levels and causes of maternal mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
Kassebaum, N. J., Bertozzi-Villa, A., Coggeshall, M. S., Shackelford, K. A., Steiner, C., Heuton, K. R., Gonzalez-Medina, D., Barber, R., Huynh, C., Dicker, D., et al. (2014) · The Lancet
Global Maternal and Child HealthMaternal and fetal healthcare
Cited by 1,644
- Verified
The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013
Haagsma, J. A., Graetz, N., Bolliger, I., Naghavi, M., Higashi, H., Mullany, E. C., Abera, S. F., Abraham, J. P., Adofo, K., Alsharif, U., et al. (2016) · Injury Prevention
Injury Epidemiology and PreventionTrauma and Emergency Care Studies
Cited by 1,302
- Verified
The Longitudinal Course, Risk Factors, and Impact of Sleep Disturbances in Children with Traumatic Brain Injury
Tham, S. W., Palermo, T. M., Vavilala, M. S., Wang, J., Jaffe, K. M., Koepsell, T. D., Dorsch, A., Temkin, N., Durbin, D., & Rivara, F. P. (2012) · Journal of Neurotrauma
Traumatic Brain Injury ResearchSleep and related disorders
Cited by 109
- Verified
Common Data Elements and Federal Interagency Traumatic Brain Injury Research Informatics System for TBI Research
Thompson, H. J., Vavilala, M. S., & Rivara, F. P. (2015) · Annual Review of Nursing Research
Traumatic Brain Injury ResearchElectronic Health Records Systems
Cited by 46
- Verified
Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery
Lundberg, S. M., Nair, B., Vavilala, M. S., Horibe, M., Eisses, M. J., Adams, T., Liston, D. E., Low, D. K.-W., Newman, S.-F., Kim, J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory)
Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)
Cited by 34
- Verified
TBI Sex Dependently Upregulates ET-1 To Impair Autoregulation, which Is Aggravated by Phenylephrine in Males but Is Abrogated in Females
Armstead, W. M., Riley, J., & Vavilala, M. S. (2012) · Journal of Neurotrauma
Traumatic Brain Injury and Neurovascular DisturbancesTraumatic Brain Injury Research
Cited by 28
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