The Development of a Fuzzy Logic Model-Based Suicide Risk Assessment Tool

2020 ◽  
Vol 7 (3) ◽  
pp. 156
Author(s):  
Fatma Ayhan ◽  
Besti �stün ◽  
TürkerTekin Ergüze
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Suicide Risk ◽  
Assessment Tool ◽  
Logic Model ◽  
Risk Assessment Tool ◽  
Suicide Risk Assessment ◽  
Model Based ◽  
Fuzzy Logic Model

scholarly journals Obsessive-Compulsive Inventory-Revised: Factor Structure, Reliability, Validity, and Suicide Risk Screening Characteristics among Nigerian Patients with Schizophrenia

2018 ◽  
Vol 09 (02) ◽  
pp. 219-225 ◽  
Author(s):  
Tolulope Opakunle ◽  
Olutayo Aloba ◽  
Adesanmi Akinsulore ◽  
Olubukola Opakunle ◽  
Femi Fatoye
Keyword(s):  
Risk Assessment ◽  
Predictive Value ◽  
Suicide Risk ◽  
Assessment Tool ◽  
University Teaching ◽  
Risk Assessment Tool ◽  
Health Clinic ◽  
Cutoff Score ◽  
Suicide Risk Assessment ◽  
Obsessive Compulsive

ABSTRACT Objective: This study attempted to explore the feasibility of use of the 18-item Obsessive-Compulsive Inventory-Revised (OCI-R) as a subjective suicide risk assessment tool in a cross-sectional sample of Nigerian patients with schizophrenia. Materials and Methods: Two hundred and thirty-two outpatients with schizophrenia were recruited from the mental health clinic of a university teaching hospital in Southwestern Nigeria. They completed the OCI-R in addition to the Social and Occupational Functioning Assessment Scale, the Positive and Negative Syndrome Scale, and a sociodemographic and illness-related questionnaire. The patients were objectively interviewed with the Mini-International Neuropsychiatric Interview suicidality module items to assess their suicide risk. Results: The 18-item OCI-R demonstrated satisfactory sensitivity (0.900) and specificity (0.662) at a total cutoff score of 10 in relation to the identification of Nigerian patients with schizophrenia with significant suicide risk. At this cutoff score, the area under the receiver operating characteristic curve was 0.817 (95% confidence interval: 0.735–0.898), and positive predictive value (0.726) and negative predictive value (0.869) were also satisfactory. The OCI-R also demonstrated satisfactory internal consistency and construct validity. Conclusion: The OCI-R has demonstrated to be useful as a subjective suicide risk assessment tool among Nigerian schizophrenia patients.

scholarly journals A new suicide risk assessment tool in Nova Scotia, Canada

2020 ◽  
Vol 43 (1) ◽  
pp. E30-E34
Author(s):  
Joseph Sadek ◽  
Mary Pyche ◽  
Scott Theriault ◽  
Nicholas Delva ◽  
Sonia Chehil ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Nova Scotia ◽  
Suicide Risk ◽  
Assessment Tool ◽  
Clinical Interview ◽  
Self Report ◽  
Health Concern ◽  
Suicide Risk Assessment ◽  
Public Health Concern ◽  
Clinical Competencies

Suicide is a major public health concern. In Canada, suicide is the ninth leading cause of death in all ages, with a rate of 10.3 deaths per 100,000 people. In Nova Scotia, Canada, 137 suicides were reported in 2016 [1]. Suicide risk assessment (SRA) and management are clinical competencies required for patient care. Strategies used for SRA include the use of formal self-report measures [2], personalized clinical interview however vital information about suicide risk may be missed during that unstructured assessment [3] and structured tool to supplement the clinical interview.

Risk assessment of cost overrun using fuzzy logic model

2022 ◽  
Author(s):  
G.B.S. Alekhya ◽  
K. Shashikanth ◽  
M. Anjaneya Prasad
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Logic Model ◽  
Cost Overrun ◽  
Fuzzy Logic Model

A Fuzzy Logic Model Based on Web of Trust to Access Linked Open Data Resources

2019 ◽  
Vol 25 (1) ◽  
pp. 15-20
Author(s):  
Paulo Alonso Gaona-García ◽  
Jhon Francined Herrera-Cubides ◽  
Kevin Riaño ◽  
Jorge Iván Alonso ◽  
Adriana Gómez-Acosta
Keyword(s):  
Fuzzy Logic ◽  
Open Data ◽  
Logic Model ◽  
Linked Open Data ◽  
Model Based ◽  
Fuzzy Logic Model ◽  
Web Of Trust

scholarly journals A FUZZY LOGIC APPROACH FOR DRONE CAPABILITY ANALYSIS ON DISASTER RISK ASSESSMENT

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 485-489
Author(s):  
P. Zlateva ◽  
S. Hristozov ◽  
D. Velev
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Disaster Risk ◽  
External Input ◽  
Logic Model ◽  
Disaster Risk Assessment ◽  
Fuzzy Logic Model ◽  
Capability Analysis ◽  
Fuzzy Logic Approach ◽  
Logic Approach

<p><strong>Abstract.</strong> The paper proposes a fuzzy logic approach for drone capability analysis on disaster risk assessment. In particular, a fuzzy logic model is designed as a hierarchical system with several inputs and one output. The system inputs corresponds to the linguistic variables, describing the of levels of the external and internal input factors, which determine the capability levels of analysed drone in respect to disaster risk assessment. As external input factors are used, for example: disaster type (flood, landslide, wildfire); weather conditions (wind speed, fog, cloud cover); operational area (urban, mountain, plain), etc. As internal input factors are considered the drone characteristics such as drone type, flight performance (stall speed, turn radius, flight endurance), payload capabilities (camera resolution, accuracy, weight, sensors), etc. The fuzzy logic system output gives the level of the drone capability on disaster risk assessment in defined conditions. The model is designed in <i>Matlab</i> computer environment using Fuzzy Logic Toolbox. Several computer simulations are carried out to validate the proposed model. The designed fuzzy logic model is part of an information system for disaster risk management using drones, which is under development.</p>

scholarly journals Identification of Safe Assembly Points in Emergencies in a Gas Refinery of the South Pars Gas Complex Using Fuzzy Logic Model

2019 ◽  
pp. 275-286
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Crisis Management ◽  
Oil And Gas ◽  
Treatment Plant ◽  
Logic Model ◽  
Fuzzy Logic Model ◽  
Accuracy And Precision ◽  
Focus Group Meeting ◽  
Gis Environment

INTRODUCTION: Crisis management is of critical importance in the oil and gas industries due to the increasing occurrence of accidents in these areas. One of the most important issues regarding crisis management in such industries is the identification of safety assembly points where employees should gather in emergencies. This study aimed to identify the safe points in a refinery using geographic information system (GIS) and fuzzy logic for emergency assembly. METHODS: Regarding the aim of the study purpose, the required data were collected, and a focus group meeting was held with experts to determine the criteria influencing the safety point zoning as well as high-risk units using the HAZOP method. After the identification of the criteria and sub-criteria affecting the zoning, the weight of each zoning parameter was calculated, and the safety zones were determined using the fuzzy logic model and its operators in the GIS environment. FINDINGS: According to the results of the risk assessment, the criteria and sub-criteria affecting zoning were divided into three categories of inconsistent (layer weight: 0.740), consistent (layer weight: 0.094), and access to exit routes (layer weight: 0.167). Moreover, the map results based on the fuzzy logic model revealed three safe points, including the vicinity of the fire station, clinic, and wastewater treatment plant in this refinery where the employees should gather in the event of emergencies. CONCLUSION: The results of this study showed that the selection of appropriate criteria in safe point zoning is of great importance in the emergencies in the industries. Moreover, an initial risk assessment can be effective in determining these criteria and sub-criteria. In addition, the fuzzy logic model has high accuracy and precision in determining the appropriate safe places.

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