Purpose: This study aimed to assess the discriminative validity of the Brazilian version of the Patient Health Questionnaire (PHQ-9) and of its reduced version (PHQ-2).
Design And Methods: The sample consisted of 177 women (60 cases of depression and 117 noncases). The SCID-IV was used as the gold standard.
Findings: For the PHQ-9, a cutoff score equal to or higher than 10 proved to be the most adequate for the screening of depression, whereas the best cutoff score for the PHQ-2 was found to lie between 3 and 4.
Practice Implications: The systematic use of these instruments in nursing and in the context of primary health care could favor the early detection of depression.
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http://dx.doi.org/10.1111/j.1744-6163.2009.00224.x | DOI Listing |
Sci Rep
January 2025
Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, 700 032, India.
We have adopted the classification Read-Across Structure-Activity Relationship (c-RASAR) approach in the present study for machine-learning (ML)-based model development from a recently reported curated dataset of nephrotoxicity potential of orally active drugs. We initially developed ML models using nine different algorithms separately on topological descriptors (referred to as simply "descriptors" in the subsequent sections of the manuscript) and MACCS fingerprints (referred to as "fingerprints" in the subsequent sections of the manuscript), thus generating 18 different ML QSAR models. Using the chemical spaces defined by the modeling descriptors and fingerprints, the similarity and error-based RASAR descriptors were computed, and the most discriminating RASAR descriptors were used to develop another set of 18 different ML c-RASAR models.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Chemistry Education, Seoul National University, Seoul, Republic of Korea.
In terms of safety and emergency response, identifying hazardous gaseous acid chemicals is crucial for ensuring effective evacuation and administering proper first aid. However, current studies struggle to distinguish between different acid vapors and remain in the early stages of development. In this study, we propose an on-site monitorable acid vapor decoder, MOF-808-EDTA-Cu, integrating the robust MOF-808 with Cu-EDTA, functioning as a proton-triggered colorimetric decoder that translates the anionic components of corrosive acids into visible colors.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
Background: To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical performance of these models.
Methods: Three online databases (PubMed, MEDLINE, EMBASE) were searched from database inception to February 6, 2024, to identify literature on the use of machine learning to predict revision, secondary knee injury (e.g.
BMJ Open Gastroenterol
January 2025
Department of Gastroenterology, Hepatology and Transplant Medicine, University of Duisburg-Essen, Essen, Germany
Objective: Secondary sclerosing cholangitis (SSC) represents a disease with a poor prognosis increasingly diagnosed in clinical settings. Notably, SSC in critically ill patients (SSC-CIP) is the most frequent cause. Variables associated with worse prognosis remain unclear.
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Department of Neurology, The First People's Hospital of Jingzhou, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, China. Electronic address:
Objective: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms.
Methods: Employing a retrospective cohort study design, this study collected patients with ruptured IA who received endovascular treatment at Jingzhou First People's Hospital during the inclusion period from September 2022 to December 2023. The entire dataset was randomly split into training and testing dataset with a 7:3 ratio.
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