Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Raymond L, Finzel"'
Autor:
Raymond L. Finzel, Michael A. Puskarich, John Sartori, James Dries, Greg M. Silverman, Rui Zhang, Monica I. Lupei, György J. Simon, Christopher J. Tignanelli, Serguei V. S. Pakhomov, Himanshu S. Sahoo, Genevieve B. Melton, Nicholas E. Ingraham, Michael G. Usher, Eric Murray
Publikováno v:
Journal of Artificial Intelligence Research. 72:429-474
Statistical modeling of outcomes based on a patient's presenting symptoms (symptomatology) can help deliver high quality care and allocate essential resources, which is especially important during the COVID-19 pandemic. Patient symptoms are typically
Autor:
Hongfang Liu, Sijia Liu, Nicholas E. Ingraham, Serguei V. S. Pakhomov, Himanshu S. Sahoo, Christopher J. Tignanelli, Rui Zhang, Genevieve B. Melton, Monica I. Lupei, John Sartori, Benjamin C. Knoll, Michael A. Puskarich, Raymond L. Finzel, Greg M. Silverman
Publikováno v:
JAMIA Open
Objective With COVID-19, there was a need for a rapidly scalable annotation system that facilitated real-time integration with clinical decision support systems (CDS). Current annotation systems suffer from a high-resource utilization and poor scalab
Autor:
Raymond L. Finzel, Greg M. Silverman, V S Pakhomov Serguei, Reed McEwan, Michael Kotlyar, Shreya Datar, Genevieve B. Melton, Elizabeth A. Lindemann
Publikováno v:
ICHI
The impact of social determinants on individual health has increasingly been recognized. In this study, we aimed to understand the representation of stressful life events occurring in clinical reports generated outside of mental health specialties. W
Publikováno v:
EACL (System Demonstrations)
Experts@Minnesota
Experts@Minnesota
Conversational Agent for Daily Living Assessment Coaching (CADLAC) is a multi-modal conversational agent system designed to impersonate “individuals” with various levels of ability in activities of daily living (ADLs: e.g., dressing, bathing, mob
Autor:
John W. Lyng, Greg M. Silverman, Christopher J. Tignanelli, Elizabeth A. Lindemann, Gregory J. Beilman, Alexander L. Trembley, Benjamin C. Knoll, Raymond L. Finzel, Genevieve B. Melton, Serguei V. S. Pakhomov, Reed McEwan, Jon C. Gipson
Publikováno v:
J Trauma Acute Care Surg
Background Incomplete prehospital trauma care is a significant contributor to preventable deaths. Current databases lack timelines easily constructible of clinical events. Temporal associations and procedural indications are critical to characterize
Autor:
Jake Vasilakes, Anusha Bompelli, Rui Zhang, Benjamin C. Knoll, Serguei V. S. Pakhomov, Greg M. Silverman, Raymond L. Finzel
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030591366
AIME
AIME
Natural Language Processing (NLP) techniques have been used extensively to extract concepts from unstructured clinical trial eligibility criteria. Recruiting patients whose information in Electronic Health Records matches clinical trial eligibility c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::805fb7961f7241c024b42b2a0ae534ec
https://doi.org/10.1007/978-3-030-59137-3_7
https://doi.org/10.1007/978-3-030-59137-3_7
Autor:
Greg M, Silverman, Elizabeth A, Lindemann, Geetanjali, Rajamani, Raymond L, Finzel, Reed, McEwan, Benjamin C, Knoll, Serguei, Pakhomov, Genevieve B, Melton, Christopher J, Tignanelli
Publikováno v:
Studies in health technology and informatics
Natural language processing (NLP) methods would improve outcomes in the area of prehospital Emergency Medical Services (EMS) data collection and abstraction. This study evaluated off-the-shelf solutions for automating labelling of clinically relevant
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0229942 (2020)
PLoS ONE
PLoS ONE
Psychosocial stress is a major risk factor for morbidity and mortality related to a wide range of health conditions and has a significant negative impact on public health. Quantifying exposure to stress in the naturalistic environment can help to bet
Publikováno v:
Experts@Minnesota
We present the Everyday Living Artificial Intelligence (AI) Hub, a novel proof-of-concept framework for enhancing human health and wellbeing via a combination of tailored wear-able and Conversational Agent (CA) solutions for non-invasive monitoring o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f7fae2cb5351bbb55b7d5bc57a59b5e
https://experts.umn.edu/en/publications/b7589cfc-7d21-4126-b87f-97dfc745a21e
https://experts.umn.edu/en/publications/b7589cfc-7d21-4126-b87f-97dfc745a21e