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Current Biology : CB Jan 2021We build models of the world around us to guide perception and learning in the face of uncertainty. New evidence reveals a neurocomputational mechanism that links...
We build models of the world around us to guide perception and learning in the face of uncertainty. New evidence reveals a neurocomputational mechanism that links predictive processes across cognitive domains.
Topics: Learning; Uncertainty
PubMed: 33434481
DOI: 10.1016/j.cub.2020.10.052 -
GMS Journal For Medical Education 2024
Topics: Uncertainty
PubMed: 38504858
DOI: 10.3205/zma001668 -
Family Medicine Feb 2021
Topics: Humans; Uncertainty
PubMed: 33566353
DOI: 10.22454/FamMed.2021.350758 -
Clinics in Laboratory Medicine Mar 2017Laboratory medicine decreases diagnostic uncertainty, but is influenced by factors causing uncertainties. Error and uncertainty methods are commonly seen as incompatible... (Review)
Review
Laboratory medicine decreases diagnostic uncertainty, but is influenced by factors causing uncertainties. Error and uncertainty methods are commonly seen as incompatible in laboratory medicine. New versions of the Guide to the Expression of Uncertainty in Measurement and International Vocabulary of Metrology will incorporate both uncertainty and error methods, which will assist collaboration between metrology and laboratories. Law of propagation of uncertainty and bayesian statistics are theoretically preferable to frequentist statistical methods in diagnostic medicine. However, frequentist statistics are better known and more widely practiced. Error and uncertainty methods should both be recognized as legitimate for calculating diagnostic uncertainty.
Topics: Bayes Theorem; Clinical Laboratory Techniques; Diagnostic Errors; Humans; Uncertainty
PubMed: 28153362
DOI: 10.1016/j.cll.2016.09.002 -
Neuron Aug 2022Novelty and uncertainty are powerful drivers of exploration that are often conflated. In this issue of Neuron, Cockburn and colleagues dissociate the two and report a...
Novelty and uncertainty are powerful drivers of exploration that are often conflated. In this issue of Neuron, Cockburn and colleagues dissociate the two and report a key interaction: close to task termination, novel options appear much more attractive relative to uncertain options.
Topics: Uncertainty
PubMed: 35981524
DOI: 10.1016/j.neuron.2022.07.009 -
Journal of Applied Clinical Medical... Oct 2020
Topics: Humans; Uncertainty
PubMed: 33002273
DOI: 10.1002/acm2.13038 -
Neurobiology of Learning and Memory May 2024We and other animals learn because there is some aspect of the world about which we are uncertain. This uncertainty arises from initial ignorance, and from changes in... (Review)
Review
We and other animals learn because there is some aspect of the world about which we are uncertain. This uncertainty arises from initial ignorance, and from changes in the world that we do not perfectly know; the uncertainty often becomes evident when our predictions about the world are found to be erroneous. The Rescorla-Wagner learning rule, which specifies one way that prediction errors can occasion learning, has been hugely influential as a characterization of Pavlovian conditioning and, through its equivalence to the delta rule in engineering, in a much wider class of learning problems. Here, we review the embedding of the Rescorla-Wagner rule in a Bayesian context that is precise about the link between uncertainty and learning, and thereby discuss extensions to such suggestions as the Kalman filter, structure learning, and beyond, that collectively encompass a wider range of uncertainties and accommodate a wider assortment of phenomena in conditioning.
Topics: Bayes Theorem; Reinforcement, Psychology; Animals; Conditioning, Classical; Uncertainty; Humans; Learning; Models, Psychological
PubMed: 38579896
DOI: 10.1016/j.nlm.2024.107924 -
BMC Palliative Care Apr 2021Inequities in the provision of palliative care for people with cardiac disease have been well documented in the literature. Despite experiencing significant palliative...
BACKGROUND
Inequities in the provision of palliative care for people with cardiac disease have been well documented in the literature. Despite experiencing significant palliative care needs, those with cardiac disease are less likely to be referred to specialist palliative care services and more likely to die in a hospital when compared to those with cancer. The unpredictable trajectory of heart failure has been identified as a key barrier to providing palliative care with many people experiencing a long period of stability with appropriate medical treatment. However, as the disease progresses and cardiac function deteriorates, exacerbations of acute decompensation can lead to what is often perceived to be 'sudden' death. The aim of this study is to explore the impact of uncertainty on how death is remembered by bereaved family members of people with heart disease.
METHODS
Thematic analysis of free text collected during a postal survey of bereaved family's experiences of healthcare services in the last 3 months of life using the New Zealand version of the VOICES questionnaire was undertaken. Data was analysed using a three-dimensional conceptual framework of "scientific uncertainty".
RESULTS
Eight hundred and twenty-seven completed questionnaires were received of which 12.6% (nā=ā105) indicated that they had cared for someone at the end of life with cardiac disease. Experiences of uncertainty were found to have a significant impact upon bereaved family. Four key themes were identified; distrust in healthcare professionals, stories left incomplete, loss, regret and missed opportunity and disempowerment.
CONCLUSIONS
This study highlights the ongoing impact on bereaved family when uncertainty is not made explicit in conversations regarding end of life for people with heart disease. Timely and sensitive conversations regarding the uncertainty of when death may occur is an important factor in ensuring that bereaved family are not left with unresolved narratives. Reframing how we think and talk about uncertainty in end of life care is important, as clinicians' uncertainties may not always reflect or match up with families' uncertainties. Being explicit about our inability to be certain about the timing of death may thus lead to a more positive and complete experience for bereaved family.
Topics: Bereavement; Death; Family; Humans; Palliative Care; Surveys and Questionnaires; Terminal Care; Uncertainty
PubMed: 33849502
DOI: 10.1186/s12904-021-00748-9 -
Anesthesiology Dec 2020
Topics: Anesthesiology; Uncertainty
PubMed: 32926732
DOI: 10.1097/ALN.0000000000003563 -
Anesthesiology Dec 2020
Topics: Anesthesiology; Uncertainty
PubMed: 32926744
DOI: 10.1097/ALN.0000000000003564