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Akademický článek

Combination of machine learning algorithms with natural language processing may increase the probability of bacteremia detection in the emergency department: A retrospective, big-data analysis of 94,482 patients

Autor: Gal Ben-Haim, Mika Yosef, Eyade Rowand, Jonathan Ben-Yosef, Aya Berman, Sigal Sina, Nitsan Halabi, Eitan Grossbard, Yehonatan Marziano, Gad Segal

Publikováno v: Digital Health, Vol 10 (2024)

Background Prompt diagnosis of bacteremia in the emergency department (ED) is of utmost importance. Nevertheless, the average time to first clinical laboratory finding range from 1 to 3 days. Alongside a myriad of scoring systems for occult bacteremi

Externí odkaz: https://doaj.org/article/d233a89eb7c246128b9212292577101b

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Akademický článek

Six-Lead Electrocardiography Enables Identification of Rhythm and Conduction Anomalies of Patients in the Telemedicine-Based, Hospital-at-Home Setting: A Prospective Validation Study

Autor: Adam Sharabi, Eli Abutbul, Eitan Grossbard, Yonatan Martsiano, Aya Berman, Reut Kassif-Lerner, Hila Hakim, Pninit Liber, Anram Zoubi, Galia Barkai, Gad Segal

Publikováno v: Sensors, Vol 23, Iss 20, p 8464 (2023)

Background: The hospital-at-home (HAH) model is a viable alternative for conventional in-hospital stays worldwide. Serum electrolyte abnormalities are common in acute patients, especially in those with many comorbidities. Pathologic changes in cardia

Externí odkaz: https://doaj.org/article/95fbe38700e940738950047f13b426be

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