[HTML][HTML] Develo** an LSTM model to identify surgical site infections using electronic healthcare records
Recently, hospitals and healthcare providers have made efforts to reduce surgical site
infections as they are a major cause of surgical complications, a prominent reason for …
infections as they are a major cause of surgical complications, a prominent reason for …
Identifying diabetes related-complications in a real-world free-text electronic medical records in Hebrew using natural language processing techniques
M Saban, M Lutski, I Zucker, M Uziel… - Journal of Diabetes …, 2024 - journals.sagepub.com
Background: Studies have demonstrated that 50% to 80% of patients do not receive an
International Classification of Diseases (ICD) code assigned to their medical encounter or …
International Classification of Diseases (ICD) code assigned to their medical encounter or …
Can telehealth expansion boost health care utilization specifically for patients with substance use disorders relative to patients with other types of chronic disease?
Objective Patients with substance use disorders (SUDs) exhibit low healthcare utilization
despite high risk of poor outcomes. Telehealth expansion may boost utilization, but it is …
despite high risk of poor outcomes. Telehealth expansion may boost utilization, but it is …
NER sequence embedding of unified medical corpora to incorporate semantic intelligence in big data healthcare diagnostics
Clinical diagnosis is a challenging task for which high expertise is required at the doctors'
end. It is recognized that technology integration with the clinical domain would facilitate the …
end. It is recognized that technology integration with the clinical domain would facilitate the …
Generating longitudinal synthetic ehr data with recurrent autoencoders and generative adversarial networks
Synthetic electronic health records (EHR) can facilitate effective use of clinical data in
software development, medical education, and medical research without the concerns of …
software development, medical education, and medical research without the concerns of …
Generating Longitudinal Synthetic EHR Data with Recurrent Autoencoders and Generative Adversarial Networks
Synthetic electronic health records (EHR) can facilitate effective use of clinical data in
software development, medical education, and medical research without the concerns of …
software development, medical education, and medical research without the concerns of …