Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991–2020)

R Alizadehsani, M Roshanzamir, S Hussain… - Annals of Operations …, 2021 - Springer
Understanding the data and reaching accurate conclusions are of paramount importance in
the present era of big data. Machine learning and probability theory methods have been …

Uncertainty in healthcare and health decision making: Five methodological and conceptual research recommendations from an interdisciplinary team

N Simonovic, JM Taber, CL Scherr, M Dean… - Journal of Behavioral …, 2023 - Springer
Uncertainty is prevalent in various health contexts. It is imperative to understand how health-
related uncertainty can impact individuals' healthcare experiences and health decision …

[HTML][HTML] Green bond market boom: did environmental, social and governance criteria play a role in reducing health-related uncertainty?

VM Ribeiro - Green Finance, 2023 - aimspress.com
Recent years have been characterized by considerable growth of the green bond market in
Europe, particularly in the domain of social bond issuance. Considering the recent …

The bodily threat monitoring scale: Development and preliminary validation in adult and childhood cancer survivors

LC Heathcote, SN Webster, N Loecher… - Psycho …, 2023 - Wiley Online Library
Objective Bodily threat monitoring is a core clinical feature of Fear of cancer recurrence
(FCR) and is targeted in psycho‐oncology treatments, yet no comprehensive self‐report …

Barriers and facilitators to managing uncertainty in nurses' clinical reasoning in post-anaesthesia care units: a qualitative thematic analysis

LDM Cunha, M Pestana-Santos… - … Journal of Advanced …, 2023 - search.informit.org
Objective: To describe and analyse barriers and facilitators to managing uncertainty in
nurses' clinical reasoning in post-anaesthesia care units. Background: The diagnostic …