Results 191 to 200 of about 189,293 (252)

Association Between Multi‐Laboratory Parameters Pre‐ and Post‐Treatment and Pathological Features and Their Values in Clinical Decision in Primary Hepatic Carcinoma

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
Primary hepatic cancer (PHC), especially hepatocellular carcinoma (HCC), is still a significant burden worldwide. The efficacy of diagnosis, treatment response monitoring, and prognostication using laboratory biomarkers is still a challenge. This study analyzed multi‐laboratory parameters pre‐ and post‐treatment and their associations with clinical and
Xiaowei Chi   +3 more
wiley   +1 more source

Evaluation of red cell distribution width in dogs with pulmonary hypertension [PDF]

open access: yes
Connolly, D J   +5 more
core   +1 more source

Evaluating the impact of a newly established hospitalist medicine procedure service on length of stay and procedural outcomes: A retrospective propensity‐matched analysis

open access: yesJournal of Hospital Medicine, EarlyView.
Abstract Background Reliance on interventional radiology (IR) has been associated with delays in procedure completion and prolonged hospital length of stay (LOS). Hospitalist medicine procedure services (HMPS) have been proposed as a strategy to mitigate these inefficiencies, though outcomes of newly established programs composed of physicians with ...
Jeremy Gentile   +6 more
wiley   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

open access: yesJournal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He   +11 more
wiley   +1 more source

The needle study: Machine learning as a new method for case‐finding in celiac disease

open access: yesJournal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Despite a well‐defined diagnostic work‐up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general population. Machine learning (ML) algorithms offer promise in aiding medical decision‐making on clinical data.
Chiara Maria Trovato   +9 more
wiley   +1 more source

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