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Digital Health Technology Interventions for Improving Medication Safety: Systematic Review of Economic Evaluations
Published 2025-02-01“…On average, DHT interventions reduced ADEs by 37.12% (range 8.2%-66.5%) and medication errors by 54.38% (range 24%-83%). …”
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Ensemble learning to predict short birth interval among reproductive-age women in Ethiopia: evidence from EDHS 2016–2019
Published 2025-02-01“…Methods A secondary data analysis of Ethiopian demographic health servey from 2016 to 2019 was performed. a total of weighted sample of 12,573 women in the reproductive age group was included in this study. …”
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Unraveling complexity and leveraging opportunities in uncommon breast cancer subtypes
Published 2025-01-01Get full text
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Femoral neck system (FNS) versus 4 cannulated compression screws (CCSs) in the treatment of young patients with Pauwels type III femoral neck fracture: a retrospective comparative...
Published 2025-01-01“…Various demographic and clinical variables, including age, gender, fracture side, mechanism of injury, Garden classification, and time interval between injury and surgery, were collected. …”
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Comparing multi-texture fibrosis analysis versus binary opacity-based abnormality detection for quantitative assessment of idiopathic pulmonary fibrosis
Published 2025-01-01“…In this retrospective study, two automated tools were compared in 45 patients with biopsy proven (12/45) and imaging-based (33/45) IPF diagnosis (mean age 74 ± 9 years, 37 male) for quantification of pulmonary fibrosis in CT. …”
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Application of Overlap Gastroduodenostomy in Billroth I Anastomosis after Totally Laparoscopic Distal Gastrectomy for Gastric Cancer
Published 2022-01-01“…Endoscopy performed 6 months postoperatively showed that the residual food (P=0.033), gastritis (P=0.029), and bile (P=0.022) classification score significantly decreased in the OGD group, and there were no significant differences 12 months postoperatively. …”
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A Comprehensive Review of Artificial Intelligence (AI) Applications in Pulmonary Hypertension (PH)
Published 2025-01-01Get full text
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Prediction of delirium occurrence using machine learning in acute stroke patients in intensive care unit
Published 2025-01-01“…The 8 fixed features [Age, Sex, Alcohol Intake, National Institute of Health Stroke Scale (NIHSS), HbA1c, Prothrombin time, D-dimer, and Hemoglobin] identified at admission and 12 dynamic features [Mean or Variability indexes calculated from Body Temperature (BT), Heart Rate (HR), Respiratory Rate (RR), Oxygen saturation (SpO2), Systolic Blood Pressure (SBP), and Diastolic Blood Pressure (DBP)] based on vital signs were used for developing prediction models using the ensemble method.ResultsThe Area Under the Receiver Operating Characteristic curve (AUROC) for delirium-state classification was 0.80. …”
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Distribution of Microbes and Drug Susceptibility in Patients with Diabetic Foot Infections in Southwest China
Published 2018-01-01“…The distribution and types of bacteria in diabetic foot infection (DFI) patients varied with the different Wagner classification grades, courses of the ulcers, and antibiotic therapy. …”
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