Results 171 to 180 of about 205,811 (312)

Catch Me If You Can: The Dynamic Nature of Bias in Machine Learning Applications

Information Systems Journal, EarlyView.
ABSTRACT Bias in machine learning (ML) applications represents systematic differences between expected and actual values of the predicted outputs, such that certain individuals or groups are systematically and disproportionately (dis)advantaged. This paper investigates the dynamic nature of bias in ML applications.
Monideepa Tarafdar, Irina Rets, Yang Hu
wiley   +1 more source

Analyses of the characteristics and prognosis of elderly patients visiting a high-capacity Turkish emergency department due to an occupational accident: a cross-sectional study. [PDF]

BMC Geriatr
Guru S, Ozensoy HS, Erturk N, Orun S, Ceyhan MA.   +4 more
europepmc   +1 more source

Development and Psychometric Evaluation of the Forensic Nursing Competency Scale‐Short Form for Hospital Nurses

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To develop and evaluate the psychometric properties of the Forensic Nursing Competency Scale‐Short Form (FNCS‐SF) for hospital nurses. Background Nurses who care for victims of sexual abuse, domestic violence and elder or child abuse require forensic nursing competencies.
Youn‐Jung Son, Na Young Jo, Yun Mi Lee, So Hyun Park   +3 more
wiley   +1 more source

How to prevent 3 million deaths worldwide: a systematic review of occupational accident research-a factor- and cost-based approach. [PDF]

Eur J Public Health
Cañaveras Perea RM, Tejada Ponce Á, Sánchez González MP.   +2 more
europepmc   +1 more source

The Impact of Assessing Patients' Sense of Security on Nurses' Intent to Report Safety Events: A Factorial Survey Experiment

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aims To evaluate whether information about patients' poor sense of security in hypothetical vignette scenarios increases nurses' projected intent to report safety events. Design Quantitative, cross‐sectional factorial survey vignette experiment administered online.
Patricia S. Groves, Yelena Perkhounkova, Maria Hein, Peter James Abad   +3 more
wiley   +1 more source

A new approach to determine occupational accident dynamics by using ordinary differential equations based on SIR model. [PDF]

Sci Rep
Kaplanvural S, Tosyalı E, Ekmekçi İ.
europepmc   +1 more source

Short Delays in Time to First Contact With Community Health Services and Risk of Emergency Hospital Attendance: Retrospective Observational Study

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To explore whether a delay from referral to first contact with nurse‐led community health services is associated with the likelihood of subsequent emergency department attendance. Design We use individual linked administrative data on use of community health and hospital services.
Lachlan Cameron, Matt Sutton, Beth Parkinson, Rachel Meacock   +3 more
wiley   +1 more source

Differential psychosocial consequences between male and female workers who have suffered an amputation in an occupational accident. [PDF]

An Sist Sanit Navar
Nevado R, Arteaga A, Fernández-Montalvo J.   +2 more
europepmc   +1 more source

Scope of Nursing Work and Models of Service Delivery in Australian Primary and Secondary Schools: A Scoping Review

Journal of Advanced Nursing, EarlyView.
ABSTRACT Aim To map the scope of nursing work and models of service delivery in Australian primary and secondary schools for children aged 3–18 years. Design Scoping Review. Data Sources A search of CINAHL, Medline, PsycINFO, ERIC, Informit and Google was conducted in August 2024 for peer reviewed, non‐peer reviewed and grey literature giving insight ...
Anita Moyes, Chelsey Williams, Elizabeth Rankin, Imelda Hoodcamp, Eliza‐Jane Potter, Brent A. Hayward   +5 more
wiley   +1 more source

Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model. [PDF]

PeerJ Comput Sci
Khairuddin MZF, Sankaranarayanan S, Hasikin K, Abd Razak NA, Omar R.   +4 more
europepmc   +1 more source