Results 81 to 90 of about 1,108,752 (277)
Substance Abuse and Rehabilitation, 2012 Betty Tai1, Li-Tzy Wu2, H Westley Clark31Center for Clinical Trials Network, National Institute on Drug Abuse, Bethesda, MD, 2Department of Psychiatry and Behavioral Sciences, School of Medicine, Duke University Medical Center, Durham, NC, 3Center for ...
Clark HW, Wu LT, Tai B
doaj
Deep Learning for Electronic Health Records Analytics
IEEE Access, 2019 Recent technological advancements have led to a deluge of medical data from various domains. However, the recorded data from divergent sources comes poorly annotated, noisy, and unstructured. Hence, the data is not fully leveraged to establish actionable
Gaspard Harerimana +3 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji +13 more
wiley +1 more source
Patient Access to Electronic Health Records: Strengths, weaknesses and what’s needed to move forward [PDF]
, 2015 Electronic health records (EHRs) are desired by both physicians and patients, but the transition to and acceptance of sensitive health information online has been slow.
Zuniga, Alicia V.
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Electronic health records [PDF]
BMJ, 1995 EDITOR,—I fear that Dipak Kalra seems to have missed what is going on in computing in general practice in Britain while concentrating on other European countries. Kalra says that “EDIFACT will soon be used in primary care to communicate fee claims.” In fact, links between general practices and family health services authorities for registration have ...
openaire +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
Prediction of Sjögren’s disease diagnosis using matched electronic dental-health record data
BMC Medical Informatics and Decision MakingBackground Sjögren’s disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases.
Jason Mao +4 more
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Towards stroke prediction using electronic health records
BMC Medical Informatics and Decision Making, 2018 Background As of 2014, stroke is the fourth leading cause of death in Japan. Predicting a future diagnosis of stroke would better enable proactive forms of healthcare measures to be taken.
Douglas Teoh
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Tracking Referents in Electronic Health Records [PDF]
, 2005 Electronic Health Records (EHRs) are organized around two kinds of statements: those reporting observations made, and those reporting acts performed. In neither case does the record involve any direct reference to what such statements are actually about.
Ceusters, Werner, Smith, Barry
core
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source