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| http://dx.doi.org/10.1111/jch.14427 | DOI Listing |
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Web application using machine learning to predict cardiovascular disease and hypertension in mine workers.
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFSunset Sign Due to Intraventricular Tension Pneumocephalus: A Key Clue to Evaluating Delayed Emergence After General Anesthesia.
Cureus
November 2024
Anesthesiology and Pain Medicine, Harborview Medical Center, Seattle, USA.
Prompt emergence from general anesthesia is crucial after neurosurgical procedures, such as craniotomies, to facilitate timely neurological evaluation for identification of intraoperative complications. Delayed emergence can be caused by residual anesthetics, metabolic imbalances, and intracranial pathology, for which an eye examination can provide early diagnostic clues. The sunset sign (or setting sun sign), characterized by a downward deviation of the eyes, can be an early indicator of raised intracranial pressure (ICP) or midbrain compression, as is commonly observed in states of hydrocephalus or periaqueductal or tectal plate dysfunction.
View Article and Find Full Text PDFCase report: Long-term response to a combination of immune checkpoint inhibitors as a single treatment for multiple synchronous cancers: a case study.
Front Immunol
December 2024
Medical Oncology, Institut de Cancérologie Strasbourg Europe (ICANS), Strasbourg, France.
Introduction: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy by enhancing the antitumor immune response. This case describes an 80-year-old male with synchronous multiple primary malignancies (MPMs), including lung metastatic hepatocellular carcinoma (HCC), and non-small cell lung carcinoma (NSCLC), and brain metastatic urothelial carcinoma, who was treated with dual ICI therapy.
Case Presentation: The patient, with a history of diabetes, hypertension, dyslipidaemia, well-differentiated neuroendocrine duodenal tumors and micronodular exogenous cirrhosis (Child-Pugh class A), presented with a non-invasive bladder carcinoma (pT1N0M0) resected endoscopically in December 2022.
Development of a predictive model for immune‑related adverse events in patients with cancer.
Oncol Lett
March 2025
Department of Pharmacy, The Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi 710038, P.R. China.
It is crucial to accurately identify patients with cancer at high risk for immune-related adverse events (irAEs) caused by immune checkpoint inhibitors (ICIs). The present retrospective study analyzed the risk factors for irAEs in 992 patients with cancer treated with ICIs at Xi'an International Medical Center Hospital from December 2021 to December 2023. The patients were categorized into one group that experienced irAEs (n=276) and a control group (n=716) based on the occurrence of irAEs.
View Article and Find Full Text PDFAssessment of peri- and post-operative outcomes following apical prolapse repair in octogenarians: A retrospective cohort study.
J Minim Invasive Gynecol
December 2024
Division of Urogynecology, University of Chicago Pritzker School of Medicine, NorthShore University HealthSystem, Skokie, IL, USA.
Objective: To assess the risk of postoperative complications and unanticipated healthcare encounters in octogenarians compared to younger patients following apical prolapse repair.
Design: Retrospective cohort study.
Settings: University-affiliated academic tertiary hospital center.
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