scholarly journals Whether Moving Suicide Prevention Toward Social Networking: A Decision Support Process with XREAP Tool

10.5772/51985 ◽  
2012 ◽  
Author(s):  
Po-Hsun Cheng ◽  
Heng-Shuen Chen ◽  
Wen-Chen Chiang ◽  
Hsin- Ciang
Keyword(s):  
Decision Support ◽  
Social Networking ◽  
Suicide Prevention ◽  
Decision Support Process

scholarly journals Knowledge Acquisition and Representation for High-Performance Building Design: A Review for Defining Requirements for Developing a Design Expert System

2021 ◽  
Vol 13 (9) ◽  
pp. 4640
Author(s):  
Seung-Yeoun Choi ◽  
Sean-Hay Kim
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Data Analytics ◽  
High Performance ◽  
Problem Definition ◽  
Design Expert ◽  
Decision Support Process ◽  
High Performance Building

New functions and requirements of high performance building (HPB) being added and several regulations and certification conditions being reinforced steadily make it harder for designers to decide HPB designs alone. Although many designers wish to rely on HPB consultants for advice, not all projects can afford consultants. We expect that, in the near future, computer aids such as design expert systems can help designers by providing the role of HPB consultants. The effectiveness and success or failure of the solution offered by the expert system must be affected by the quality, systemic structure, resilience, and applicability of expert knowledge. This study aims to set the problem definition and category required for existing HPB designs, and to find the knowledge acquisition and representation methods that are the most suitable to the design expert system based on the literature review. The HPB design literature from the past 10 years revealed that the greatest features of knowledge acquisition and representation are the increasing proportion of computer-based data analytics using machine learning algorithms, whereas rules, frames, and cognitive maps that are derived from heuristics are conventional representation formalisms of traditional expert systems. Moreover, data analytics are applied to not only literally raw data from observations and measurement, but also discrete processed data as the results of simulations or composite rules in order to derive latent rule, hidden pattern, and trends. Furthermore, there is a clear trend that designers prefer the method that decision support tools propose a solution directly as optimizer does. This is due to the lack of resources and time for designers to execute performance evaluation and analysis of alternatives by themselves, even if they have sufficient experience on the HPB. However, because the risk and responsibility for the final design should be taken by designers solely, they are afraid of convenient black box decision making provided by machines. If the process of using the primary knowledge in which frame to reach the solution and how the solution is derived are transparently open to the designers, the solution made by the design expert system will be able to obtain more trust from designers. This transparent decision support process would comply with the requirement specified in a recent design study that designers prefer flexible design environments that give more creative control and freedom over design options, when compared to an automated optimization approach.

ASSIGNMENT PROBLEM AS A DECISION SUPPORT PROCESS TOOLKIT IN THE LOGISTIC FIRM TURNOVER

2021 ◽  
Vol 2021 (2) ◽  
pp. 24-31
Author(s):  
Vladimir Kovalev ◽  
Elena Averchenkova ◽  
Andrey Averchenkov
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Assignment Problem ◽  
Problem Solution ◽  
Logistics Enterprise ◽  
Firm Turnover ◽  
Decision Support Process

The features of the decision-making at a logistics enterprise are shown. The assignment problem solution on the example of a specific commodity item made it possible to determine the directions of increasing the efficiency of the warehouse complex functioning, to propose the distribution of goods by cells, to find the optimal option for storing goods in the warehouse of a specific logistics enterprise.

A decision support tool to inform local suicide prevention activity in Greater Western Sydney (Australia)

2018 ◽  
Vol 52 (10) ◽  
pp. 983-993 ◽  
Author(s):  
Andrew Page ◽  
Jo-An Atkinson ◽  
William Campos ◽  
Mark Heffernan ◽  
Shahana Ferdousi ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Support ◽  
Suicide Prevention ◽  
Attempted Suicide ◽  
Decision Support Tool ◽  
Support Tool ◽  
Health Network ◽  
Primary Health ◽  
Prevention Activities ◽  
Sydney Australia

Objectives: This study describes the development of a decision support tool to identify the combination of suicide prevention activities and service priorities likely to deliver the greatest reductions in suicidal behaviour in Western Sydney (Australia) over the period 2018–2028. Methods: A dynamic simulation model for the WentWest – Western Sydney Primary Health Network population-catchment was developed in partnership with primary health network stakeholders based on defined pathways to mental health care and suicidal behaviour, and which represented the current incidence of suicide and attempted suicide in Western Sydney. A series of scenarios relating to potential suicide prevention activities and service priorities identified by primary health network stakeholders were investigated to identify the combination of interventions associated with the largest reductions in the forecast number of attempted suicide and suicide cases for a 10-year follow-up period. Results: The largest number of cases averted for both suicide and attempted suicide was associated with (1) post-suicide attempt assertive aftercare (6.1% for both attempted suicide and suicide), (2) improved community support and reductions in psychological distress in the community (5.1% for attempted suicide and 14.8% for suicide), and (3) reductions in the proportion of those lost to services following a mental health service contact (10.5% for both attempted suicide and suicide). In combination, these interventions were forecast to avert approximately 29.7% of attempted suicides and 37.1% of suicides in the primary health network catchment over the 10-year period. Conclusion: This study demonstrates the utility of dynamic simulation models, co-designed with multi-disciplinary stakeholder groups, to capture and analyse complex mental health and suicide prevention regional planning problems. The model can be used by WentWest – Western Sydney Primary Health Network as a decision support tool to guide the commissioning of future service activity, and more efficiently frame the monitoring and evaluation of interventions as they are implemented in Western Sydney.

scholarly journals An Analysis of Depression, Self-Harm, and Suicidal Ideation Content on Tumblr

Crisis ◽  
2017 ◽  
Vol 38 (1) ◽  
pp. 44-52 ◽  
Author(s):  
Patricia A. Cavazos-Rehg ◽  
Melissa J. Krauss ◽  
Shaina J. Sowles ◽  
Sarah Connolly ◽  
Carlos Rosas ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Social Networking ◽  
Risk Behaviors ◽  
Suicide Prevention ◽  
Research Team ◽  
Median Number ◽  
Self Harm

Abstract. Background: Social networking about depression can be indicative of self-reported depression and/or can normalize risk behaviors such as self-harm and suicidal ideation. Aim: To gain a better understanding of the depression, self-harm, and suicidal content that is being shared on Tumblr. Method: From April 16 to May 10, 2014, 17 popular depression-related Tumblr accounts were monitored for new posts and engagement with other Tumblr users. A total of 3,360 posts were randomly selected from all historical posts from these accounts and coded based on themes ascertained by the research team. Results: The 17 Tumblr accounts posted a median number of 185 posts (range = 0–2,954). Content was engaged with (i.e., re-blogged or liked) a median number of 1,677,362 times (range = 0–122,186,504). Of the 3,360 randomly selected posts, 2,739 (82%) were related to depression, suicide, or self-harm. Common themes were self-loathing (412, 15%), loneliness/feeling unloved (405, 15%), self-harm (407, 15%), and suicide (372, 14%). Conclusion: This study takes an important first step at better understanding the displayed depression-related references on Tumblr. The findings signal a need for suicide prevention efforts to intervene on Tumblr and use this platform in a strategic way, given the depression and suicidal content that was readily observed on Tumblr.

scholarly journals New Patterns And Techniques In Knowledge Discovery Through Data Mining

2013 ◽  
Vol 7 (1) ◽  
pp. 947-954
Author(s):  
Tiruveedula Gopi Krishna ◽  
Dr.Mohamed Abdeldaiem Abdelhadi ◽  
M.Madhusudhana Subramanian
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Knowledge Discovery ◽  
Large Datasets ◽  
Automatic Process ◽  
Surface Complex ◽  
Structural Patterns ◽  
Very Large Datasets ◽  
Complex Relationships ◽  
Decision Support Process

The main focus of this paper discussion was on mining and its set of techniques used in an automated approach to exhaustively explore and bring to the surface complex relationships in very large datasets. We discussed how a decision support process can be used to search for patterns of information in data. And also discussed different techniques for finding and describing structural patterns in data as well. Knowledge Discovery is a concept that describes the process of automatically searching large volumes of data for patterns that can be considered knowledge about the data. We discussed all automatic and semi-automatic process of discovering the patterns in data that how it leads to some advantage in businesses to make knowledge driven decisions, which help the company to succeed and compete.

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