Results 21 to 30 of about 13,221,289 (346)

Scalable and accurate deep learning with electronic health records [PDF]

npj Digital Medicine, 2018
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variables from ...
A. Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, J. Marcus, Mimi Sun, Patrik Sundberg, H. Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E Duggan, Jamie Irvine, Quoc V. Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, S. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, N. Shah, A. Butte, M. Howell, Claire Cui, Greg S. Corrado, Jeffrey Dean   +34 more
semanticscholar   +1 more source

Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records

Nature Communications, 2022
The frequency of, and risk factors for, long COVID are unclear among community-based individuals with a history of COVID-19. To elucidate the burden and possible causes of long COVID in the community, we coordinated analyses of survey data from 6907 ...
E. Thompson, Dylan M. Williams, Alex J. Walker, R. Mitchell, C. Niedzwiedz, Tiffany C. Yang, C. Huggins, A. Kwong, R. Silverwood, G. Di Gessa, R. Bowyer, K. Northstone, B. Hou, M. Green, B. Dodgeon, K. Doores, E. Duncan, F. Williams, Alex J. Brian Peter Christopher T. Helen J. Caroline E. Walker MacKenna Inglesby Rentsch Curtis Morton Mor, Alex J. Walker, B. Mackenna, P. Inglesby, C. Rentsch, H. Curtis, C. Morton, J. Morley, A. Mehrkar, S. Bacon, G. Hickman, C. Bates, R. Croker, D. Evans, T. Ward, J. Cockburn, S. Davy, K. Bhaskaran, Anna Schultze, E. Williamson, W. Hulme, H. Mcdonald, Laurie A Tomlinson, R. Mathur, R. Eggo, K. Wing, A. Wong, H. Forbes, J. Tazare, John Parry, F. Hester, S. Harper, I. Douglas, S. Evans, L. Smeeth, B. Goldacre, A. Steptoe, D. Porteous, R. McEachan, Laurie A Tomlinson, P. Patalay, G. Ploubidis, S. Katikireddi, K. Tilling, C. Rentsch, N. Timpson, N. Chaturvedi, C. Steves   +65 more
semanticscholar   +1 more source

Machine learning model to predict mental health crises from electronic health records

Nature Medicine, 2022
The timely identification of patients who are at risk of a mental health crisis can lead to improved outcomes and to the mitigation of burdens and costs.
Roger Garriga, Javier Mas, S. Abraha, Jon Nolan, Oliver Harrison, G. Tadros, Aleksandar Matic   +6 more
semanticscholar   +1 more source

Semantic interoperability in health records standards: a systematic literature review

Health technology, 2022
The integration and exchange of information among health organizations and system providers are currently regarded as a challenge. Each organization usually has an internal ecosystem and a proprietary way to store electronic health records of the patient’
Blanda Helena de Mello, S. Rigo, C. A. da Costa, Rodrigo da Rosa Righi, B. Donida, M. Bez, Luana Carina Schunke   +6 more
semanticscholar   +1 more source

Patient-Centered Digital Health Records and Their Effects on Health Outcomes: Systematic Review

Journal of Medical Internet Research, 2022
Background eHealth tools such as patient portals and personal health records, also known as patient-centered digital health records, can engage and empower individuals with chronic health conditions.
M. Brands, S. Gouw, Molly Beestrum, R. Cronin, K. Fijnvandraat, S. Badawy   +5 more
semanticscholar   +1 more source

COVID-19 risk and outcomes in patients with substance use disorders: analyses from electronic health records in the United States

Molecular Psychiatry, 2020
The global pandemic of COVID-19 is colliding with the epidemic of opioid use disorders (OUD) and other substance use disorders (SUD) in the United States (US). Currently, there is limited data on risks, disparity, and outcomes for COVID-19 in individuals
Q. Wang, D. Kaelber, R. Xu, N. Volkow
semanticscholar   +1 more source

Mining for Equitable Health: Assessing the Impact of Missing Data in Electronic Health Records

medRxiv, 2022
Electronic health records (EHRs) are collected as a routine part of healthcare delivery, and have great potential to be utilized to improve patient health outcomes.
E. Getzen, Pallavi V. Kulkarni, D. Mowery, Xiaoqian Jiang, Q. Long   +4 more
semanticscholar   +1 more source

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

npj Digital Medicine, 2020
Advancements in deep learning techniques carry the potential to make significant contributions to healthcare, particularly in fields that utilize medical imaging for diagnosis, prognosis, and treatment decisions.
Shih-Cheng Huang, A. Pareek, S. Seyyedi, I. Banerjee, M. Lungren   +4 more
semanticscholar   +1 more source

Patient empowerment through online access to health records

British medical journal, 2022
Rapid, convenient, and full access to personal electronic health records is a key part of empowering patients to manage their health and collaborate with healthcare, argue Maria Hägglund and ...
M. Hägglund, Brian McMillan, R. Whittaker, C. Blease   +3 more
semanticscholar   +1 more source

OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients.

medRxiv, 2020
Background Establishing who is at risk from a novel rapidly arising cause of death, and why, requires a new approach to epidemiological research with very large datasets and timely data.
The OpenSAFELY Collaborative, E. Williamson, A. Walker, K. Bhaskaran, S. Bacon, C. Bates, C. Morton, H. Curtis, A. Mehrkar, D. Evans, P. Inglesby, J. Cockburn, H. Mcdonald, B. Mackenna, L. Tomlinson, I. Douglas, C. Rentsch, R. Mathur, A. Wong, R. Grieve, D. Harrison, H. Forbes, Anna Schultze, R. Croker, J. Parry, F. Hester, S. Harper, R. Perera, S. Evans, L. Smeeth, B. Goldacre   +30 more
semanticscholar   +1 more source