scholarly journals Towards Effective Patient Simulators

2021 ◽  
Vol 4 ◽  
Author(s):  
Vadim Liventsev ◽  
Aki Härmä ◽  
Milan Petković
Keyword(s):  
Educational Software ◽  
Healthcare Professionals ◽  
Clinical Decision ◽  
Quantitative Comparison ◽  
Rule Based ◽  
Qualitative And Quantitative ◽  
Rule Based System ◽  
Patient Simulators ◽  
Graph Based Model ◽  
Different Levels

In this paper we give an overview of the field of patient simulators and provide qualitative and quantitative comparison of different modeling and simulation approaches. Simulators can be used to train human caregivers but also to develop and optimize algorithms for clinical decision support applications and test and validate interventions. In this paper we introduce three novel patient simulators with different levels of representational accuracy: HeartPole, a simplistic transparent rule-based system, GraphSim, a graph-based model trained on intensive care data, and Auto-ALS—an adjusted version of an educational software package used for training junior healthcare professionals. We provide a qualitative and quantitative comparison of the previously existing as well as proposed simulators.

scholarly journals Early Identification of COVID-19 Using Dynamic Fuzzy Rule Based System

2021 ◽  
Vol 8 (5) ◽  
pp. 805-812
Author(s):  
Mohammed Imran Basheer Ahmed ◽  
Atta-ur Rahman ◽  
Mehwash Farooqui ◽  
Fatimah Alamoudi ◽  
Raghad Baageel ◽  
...  
Keyword(s):  
Healthcare Professionals ◽  
Fuzzy Rule ◽  
Fuzzy Membership Function ◽  
Membership Functions ◽  
Dynamic Nature ◽  
Rule Based ◽  
Infected People ◽  
Rule Based System ◽  
Global Pandemic ◽  
The Common

The undergoing research aims to address the problem of COVID-19 which has turned out to be a global pandemic. Despite developing some successful vaccines, the pace has not overcome so far. Several studies have been proposed in the literature in this regard, the present study is unique in terms of its dynamic nature to adapt the rules by reconfigurable fuzzy membership function. Based on patient’s symptoms (fever, dry cough etc.) and history related to travelling, diseases/medications and interactions with confirmed patients, the proposed dynamic fuzzy rule-based system (FRBS) identifies the presence/absence of the disease. This can greatly help the healthcare professionals as well as laymen in terms of disease identification. The main motivation of this paper is to reduce the pressure on the health services due to frequent test assessment requests, in which patients can do the test anytime without the need to make reservations. The main findings are that there is a relationship between the disease and the symptoms in which some symptoms can indicate the probability of the presence of the disease such as high difficulty of breathing, cough, sore throat, and so many more. By knowing the common symptoms, we developed membership functions for these symptoms, and a model generated to distinguish between infected and non-infected people with the help of survey data collected. The model gave an accuracy of 88.78%, precision of 72.22%, sensitivity of 68.42%, specificity of 93.67%, and an f1-score of 69.28%.

Alternatives to Bayes?

1980 ◽  
Vol 19 (04) ◽  
pp. 210-215 ◽  
Author(s):  
J. Fox ◽  
D. Barber ◽  
K. D. Bardhan
Keyword(s):  
Bayesian Inference ◽  
Quantitative Comparison ◽  
Rule Based ◽  
Considerable Potential ◽  
Rule Based System ◽  
Computer Aided ◽  
Efficient Alternative ◽  
Clinical Thinking ◽  
Rule Based Approach ◽  
Aided Diagnosis

Recent proposals have suggested that rule-based systems of diagnostic inference are an attractive medium for computer-aided diagnosis, in part because clinicians find their behaviour easy to understand. Bayesian systems have been more prominent in this field to date, but no direct comparison of their clinical abilities has been reported. A rule-based system that was closely modelled on clinical thinking is described and a quantitative comparison with a successful Bayesian system for the diagnosis of »dyspepsia« is presented. The results suggest that the rule-based approach may have considerable potential as an efficient alternative to Bayesian inference.

scholarly journals Rule system for speed limit determination on national roads in Poland

2018 ◽  
Vol 231 ◽  
pp. 02001 ◽  
Author(s):  
Wojciech Chmiel ◽  
Andrzej Dziech ◽  
Stanisław Jędrusik ◽  
Piotr Kadłuczka ◽  
Joanna Kwiecień ◽  
...  
Keyword(s):  
United States ◽  
Data Model ◽  
Legal Aspects ◽  
Maximum Speed ◽  
Speed Limit ◽  
Speed Limits ◽  
Rule Based ◽  
Qualitative And Quantitative ◽  
Rule Based System ◽  
Rule System

Nowadays, in the majority of cases, speed limits are defined by experts, who take into account the qualitative and quantitative parameters of the examined roads. The process of setting speed limits is often complex, because technical, social, and legal aspects should be taken into account. The paper presents a developed rule-based system for setting maximum speed limits, and results of the research with an unified data model describing roads and their surroundings. Analysis of the possibility of obtaining relevant data and automation of the process of their collection are also described. The set of the rules was developed on the basis of the methodologies used in Poland, United States, Germany, and New Zealand.

Formation of work models ormation of work models of nursing staff of different levels

2020 ◽  
pp. 39-47
Author(s):  
Irina Muntyan
Keyword(s):  
Nursing Staff ◽  
Nursing Personnel ◽  
Methodological Basis ◽  
Qualitative And Quantitative ◽  
Quantitative Characteristics ◽  
Work Model ◽  
Different Levels ◽  
Qualitative And Quantitative Characteristics

The work model of a nurse includes 14 elements representing the qualitative and quantitative characteristics of the work. The analysis of these elements allowed us to form and offer work models for senior and rankand-file nurses. These models ensure selection, evaluation and placement of nursing personnel on a uniform methodological basis.

Multi-Asset Class Portfolio Optimisation Using a Belief Rule-Based System

2010 ◽  
Author(s):  
Ser-Huang Poon ◽  
Yu-Wang Chen ◽  
Jian-Bo Yang ◽  
Dong-Ling Xu ◽  
Dongxu Zhang ◽  
...  
Keyword(s):  
Portfolio Optimisation ◽  
Rule Based ◽  
Rule Based System ◽  
Asset Class
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