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41
A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features
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42
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44
Understanding the Difficulties in Diagnosing Neonatal Sepsis: Assessing the Role of Sepsis Biomarkers
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45
Disposition to pediatric intensive care unit post supraglottoplasty repair: a systematic review
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46
Dynamic Changes in Parameters of Complete Blood Count Predict Disease Severity and Prognosis in Patients with COVID-19; A Prospective Study
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47
Delirium Management Quality Improvement Project to Improve Awareness and Screening in a Medical ICU
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48
Association between 24-hour urine volume and 28-day intensive care unit mortality in sepsis patients: a multi-center retrospective cohort study
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49
Investigating the Agreement of Hypomagnesemia Diagnosis in Three Perimeter of Serum, Urine, and Red Blood Cell in Intensive Care Unit: Pilot Study
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50
Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model
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51
Assessment of urine CCL2 as a potential diagnostic biomarker for acute kidney injury and septic acute kidney injury in intensive care unit patients
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52
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Individualized drug therapy and survival prediction in ICU patients with acute kidney injury: construction and validation of a nomogram
Published 2025-02-01Subjects: Get full text
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54
Outcome and Determining Characteristics of ICU Patients with Acute Kidney Injury in a Low-Income Country, a Multicenter Experience
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55
The impact of patient- and family-centered care interventions on intensive care unit outcomes: a meta-analysis of randomized controlled trials
Published 2025-01-01Subjects: Get full text
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56
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Honduran nursing care to pressure injuries in patients with invasive mechanical ventilation: A qualitative study
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58
Pediatric Intensive Care Provider Attitudes About Children with Medical Complexity and Neurologic Impairment: A Qualitative Study
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59
Editorial: Progressing the understanding and management of bloodstream infections
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Determinants of nosocomial infections and emerging antibiotic resistance in the Intensive Care Unit: A prospective evidence-based study
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