Results 11 to 20 of about 3,116,882 (359)

Clinical Decision Making [PDF]

open access: yesVeterinary Record, 2016
Critically Appraised Topics (CATs) are a standardised, succinct summary of research evidence organised around a clinical question, using a form of evidence synthesis based on the principles of evidence‐based medicine (EBM) and evidence‐based veterinary medicine (EBVM).
Gwen, Rees   +7 more
openaire   +3 more sources

Transcranial magnetic stimulation of the left middle frontal gyrus modulates the information people communicate in different social contexts

open access: yesScientific Reports, 2023
Neocortical structures of the left frontal lobe, middle frontal gyrus (MFG) in particular, have been suggested to be linked to the processing of punishing and unpleasant outcomes in decision tasks.
Beatriz Martín-Luengo   +4 more
doaj   +1 more source

On the importance of interpretable machine learning predictions to inform clinical decision making in oncology

open access: yesFrontiers in Oncology, 2023
Machine learning-based tools are capable of guiding individualized clinical management and decision-making by providing predictions of a patient’s future health state.
Sheng-Chieh Lu   +4 more
semanticscholar   +1 more source

Clinical decision making: an introduction [PDF]

open access: yesInternal and Emergency Medicine, 2010
An 80-year-old man, affected by chronic obstructive pulmonary disease (COPD), came to our attention complaining of shortness of breath and pleuritic right posterior chest pain lasting 3 h. In the prior week, he was almost bedridden. The past history included a mild cognitive impairment and obesity.
G. Casazza, G. Costantino, P. Duca
openaire   +4 more sources

Optimizing Clinical Decision Making with Decision Curve Analysis: Insights for Clinical Investigators

open access: yesHealthcare, 2023
A large number of prediction models are published with the objective of allowing personalized decision making for diagnostic or prognostic purposes. Conventional statistical measures of discrimination, calibration, or other measures of model performance ...
D. Piovani   +4 more
semanticscholar   +1 more source

Recent advances of liquid biopsy: Interdisciplinary strategies toward clinical decision‐making

open access: yesInterdisciplinary Medicine, 2023
Liquid biopsy has emerged as a promising avenue for non‐invasive and rapid retrieval of pathological information from patient body fluids. Over the years, liquid biopsy has garnered significant attention for clinically treating cancer by selecting ...
Han Bao   +4 more
semanticscholar   +1 more source

First Language Attrition: What It Is, What It Isn’t, and What It Can Be

open access: yesFrontiers in Human Neuroscience, 2021
This review aims at clarifying the concept of first language attrition by tracing its limits, identifying its phenomenological and contextual constraints, discussing controversies associated with its definition, and suggesting potential directions for ...
Federico Gallo   +12 more
doaj   +1 more source

Authenticity and Clinical Decision‐Making [PDF]

open access: yesHastings Center Report, 2022
AbstractTwo articles in the January‐February 2022 issue of the Hastings Center Report concern authenticity as an aid to clinical decision‐making. The lead article, by Matilda Carter, intervenes in a debate concerning decision‐making on behalf of people with advance directives instructing that, should they develop dementia, they not be given life ...
openaire   +2 more sources

Examining the impact of virtual reality on clinical decision making - An integrative review.

open access: yesNurse Education Today, 2023
BACKGROUND Clinical decision making is an essential cognitive skill in nursing. It is a process undertaken daily by nurses as they make judgements about patient care and manage complex issues as they arise.
Carley Jans   +3 more
semanticscholar   +1 more source

Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury

open access: yesDiagnostic and Prognostic Research, 2022
Background Prediction modeling studies often have methodological limitations, which may compromise model performance in new patients and settings. We aimed to examine the relation between methodological quality of model development studies and their ...
Isabel R. A. Retel Helmrich   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy