Beyond FMEA: The structured what‐if technique (SWIFT)

AJ Card, JR Ward, PJ Clarkson - Journal of Healthcare Risk …, 2012 - Wiley Online Library
Although it is probably the best‐known prospective hazard analysis (PHA) tool, failure mode
and effects analysis (FMEA) is far from the only option available. This article introduces one …

Neonatal intensive care decision support systems using artificial intelligence techniques: a systematic review

JS Malak, H Zeraati, FS Nayeri, R Safdari… - Artificial Intelligence …, 2019 - Springer
A neonatal intensive care unit (NICU) provides critical services to preterm and high-risk
infants. Over the years, many tools and techniques have been introduced to support the …

[PDF][PDF] Canonical probabilistic models for knowledge engineering

FJ Dıez, MJ Druzdzel - … , Madrid, Spain, Technical Report CISIAD-06, 2006 - 62.204.199.55
The hardest task in knowledge engineering for probabilistic graphical models, such as
Bayesian networks and influence diagrams, is obtaining their numerical parameters. Models …

Determinants of Neonatal Jaundice among Neonates Admitted to Neonatal Intensive Care Unit in Public General Hospitals of Central Zone, Tigray, Northern Ethiopia …

GG Asefa, TG Gebrewahid, H Nuguse… - BioMed research …, 2020 - Wiley Online Library
Background. Neonatal jaundice is common a clinical problem worldwide. Globally, every
year, about 1.1 million babies develop severe hyperbilirubinemia with or without bilirubin …

Neonatal jaundice diagnosis using a smartphone camera based on eye, skin, and fused features with transfer learning

A Althnian, N Almanea, N Aloboud - Sensors, 2021 - mdpi.com
Neonatal jaundice is a common condition worldwide. Failure of timely diagnosis and
treatment can lead to death or brain injury. Current diagnostic approaches include a painful …

Optimal sequence of tests for the mediastinal staging of non-small cell lung cancer

M Luque, FJ Díez, C Disdier - BMC Medical Informatics and Decision …, 2016 - Springer
Background Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer
and the most difficult to predict. When there are no distant metastases, the optimal therapy …

Analysis of failures and influence factors of critical infrastructures: a case of metro

Y Deng, L Song, J Zhou, N Xu, G Ni… - Advances in Civil …, 2020 - Wiley Online Library
Metro plays an indispensable role in promoting social and economic development of the big
cities. However, the safety operation of the metro system is believed to be an arduous work …

Influence diagrams as decision‐making tools for pesticide risk management

JF Carriger, MC Newman - … environmental assessment and …, 2012 - Wiley Online Library
The pesticide policy arena is filled with discussion of probabilistic approaches to assess
ecological risk, however, similar discussions about implementing formal probabilistic …

A review of representation issues and modeling challenges with influence diagrams

C Bielza, M Gómez, PP Shenoy - Omega, 2011 - Elsevier
Since their introduction in the mid 1970s, influence diagrams have become a de facto
standard for representing Bayesian decision problems. The need to represent complex …

Modeling challenges with influence diagrams: Constructing probability and utility models

C Bielza, M Gomez, PP Shenoy - Decision Support Systems, 2010 - Elsevier
Influence diagrams have become a popular tool for representing and solving complex
decision-making problems under uncertainty. In this paper, we focus on the task of building …