Results 201 to 210 of about 63,594 (281)

Developing a Natural Language Processing Strategy to Avoid Biased Data in Electronic Health Record Suicide Risk Modeling

open access: yesPsychiatric Research and Clinical Practice, EarlyView.
Objective Unstructured electronic health record (EHR) data is increasingly used to enhance suicide risk modeling. Unfortunately, EHR reported death dates are frequently inaccurate. Including EHR data from after patients' deaths, or after suicidal actions which led to their deaths, potentially biases suicide prediction models.
Maxwell Levis   +3 more
wiley   +1 more source

Characteristics of Rural Veterans Using VA Video‐to‐Home Telehealth or Community Care Network for Mental Healthcare

open access: yesPsychiatric Research and Clinical Practice, EarlyView.
Objective To compare characteristics of rural veterans using VA brick and mortar (B&M), VA video‐to‐home telehealth (VA VTH), or VA community care network (CCN) for mental healthcare. Methods Rural VA patients that received at least 2 days of mental healthcare in fiscal year 2023 were classified as B&M, VA VTH, or CCN patients based on where they ...
Luke Rozema   +3 more
wiley   +1 more source

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain   +2 more
wiley   +1 more source

Evolution of a Client‐Level Dataset: 20 Years of National Child Traumatic Stress Network Data Collection

open access: yesInternational Journal of Methods in Psychiatric Research, Volume 35, Issue 2, June 2026.
ABSTRACT Objectives For 20 years, the National Child Traumatic Stress Network's (NCTSN) data collection efforts have been a central mechanism for Clinical Quality Improvement (ClQI). The NCTSN is a federally funded initiative in the United States composed of programs dedicated to raising the standard of care and increasing access to services for ...
C. A. Purbeck   +14 more
wiley   +1 more source

High red blood cell distribution width attenuates the effectiveness of Immune checkpoint inhibitor therapy: An exploratory study using a clinical data warehouse. [PDF]

open access: yesPLoS One
Matsumoto H   +17 more
europepmc   +1 more source

Scene Investigation from the Sky: Current and Future Uses of Unoccupied Aerial Systems in Forensic Investigations

open access: yesWIREs Forensic Science, Volume 8, Issue 2, June 2026.
Police drone technology could be utilized to support forensic scene investigations. If the challenges of implementing new technologies can be overcome, drones could improve operational efficiency, interpretation issues and add investigative value in the courtroom. ABSTRACT Unoccupied aerial systems (UAS; otherwise known as Uncrewed Aerial Vehicles (UAV)
Clare Barrett   +2 more
wiley   +1 more source

A Bibliometric Analysis of Process Mining

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Process mining studies with numbers. ABSTRACT Process mining (PM) has emerged as a pivotal discipline in data science, bridging traditional process analysis with data‐driven techniques to extract actionable insights from event logs. This study conducts a comprehensive bibliometric analysis of 1764 peer‐reviewed articles from the Web of Science database
Seyfullah Tokumaci   +2 more
wiley   +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García   +4 more
wiley   +1 more source

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