Neural networks for computer-aided diagnosis in medicine: a review

AV Vasilakos, Y Tang, Y Yao - Neurocomputing, 2016 - Elsevier
This survey makes an overview of the most recent applications on the neural networks for
the computer-aided medical diagnosis (CAMD) over the past decade. CAMD can facilitate …

Temporal abstraction in intelligent clinical data analysis: A survey

M Stacey, C McGregor - Artificial intelligence in medicine, 2007 - Elsevier
OBJECTIVE: Intelligent clinical data analysis systems require precise qualitative
descriptions of data to enable effective and context sensitive interpretation to take place …

HIFCF: An effective hybrid model between picture fuzzy clustering and intuitionistic fuzzy recommender systems for medical diagnosis

NT Thong - Expert Systems with Applications, 2015 - Elsevier
The health care support system is a special type of recommender systems that play an
important role in medical sciences nowadays. This kind of systems often provides the …

Intelligent environment for monitoring Alzheimer patients, agent technology for health care

JM Corchado, J Bajo, Y De Paz, DI Tapia - Decision Support Systems, 2008 - Elsevier
This paper presents an autonomous intelligent agent developed for monitoring Alzheimer
patients' health care in execution time in geriatric residences. The AGALZ (Autonomous …

[HTML][HTML] From data to optimal decision making: a data-driven, probabilistic machine learning approach to decision support for patients with sepsis

A Tsoukalas, T Albertson… - JMIR medical …, 2015 - medinform.jmir.org
Background: A tantalizing question in medical informatics is how to construct knowledge
from heterogeneous datasets, and as an extension, inform clinical decisions. The …

Predicting the likelihood of heart failure with a multi level risk assessment using decision tree

AJ Aljaaf, D Al-Jumeily, AJ Hussain… - 2015 Third …, 2015 - ieeexplore.ieee.org
Heart failure comes in the top causes of death worldwide. The number of deaths from heart
failure exceeds the number of deaths resulting from any other causes. Recent studies have …

Ranking sewage sludge management strategies by means of Decision Support Systems: A case study

G Bertanza, P Baroni, M Canato - Resources, Conservation and Recycling, 2016 - Elsevier
Waste management planning is a complex task involving a variety factors and professional
skills. In order to avoid oversimplification leading to the risk of adopting inappropriate …

Development of smart nursing homes using systems engineering methodologies in industry 4.0

F Cui, L Ma, G Hou, Z Pang, Y Hou… - Enterprise Information …, 2020 - Taylor & Francis
As aged population grows and health informatics advances dramatically, smart nursing
homes equipped with electronic devices and intelligent systems turn into a hotspot. In this …

Toward an optimal use of artificial intelligence techniques within a clinical decision support system

AJ Aljaaf, D Al-Jumeily, AJ Hussain… - 2015 Science and …, 2015 - ieeexplore.ieee.org
Intelligent clinical decision support systems have been increasingly used in health care
organisations. These systems are intended to help physicians in their diagnosis procedures; …

Agent-based intelligent decision support systems: a systematic review

F Khemakhem, H Ellouzi, H Ltifi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Decision-making complexity, in a distributed environment, is due to hard tasks that a system
must resolve. This complexity makes researchers focus on looking for solutions to cope with …