scholarly journals Cohort and Trajectory Analysis in Multi-Agent Support Systems for Cancer Survivors

2021 ◽  
Vol 45 (12) ◽  
Author(s):  
Gaetano Manzo ◽  
Davide Calvaresi ◽  
Oscar Jimenez-del-Toro ◽  
Jean-Paul Calbimonte ◽  
Michael Schumacher
Keyword(s):  
Cancer Survivors ◽  
Trajectory Analysis ◽  
Cancer Survival ◽  
Supporting Evidence ◽  
Agent Based ◽  
Learning Techniques ◽  
Survival Estimation ◽  
Multi Agent ◽  
Physical Abilities

AbstractIn the past decades, the incidence rate of cancer has steadily risen. Although advances in early and accurate detection have increased cancer survival chances, these patients must cope with physical and psychological sequelae. The lack of personalized support and assistance after discharge may lead to a rapid diminution of their physical abilities, cognitive impairment, and reduced quality of life. This paper proposes a personalized support system for cancer survivors based on a cohort and trajectory analysis (CTA) module integrated within an agent-based personalized chatbot named EREBOTS. The CTA module relies on survival estimation models, machine learning, and deep learning techniques. It provides clinicians with supporting evidence for choosing a personalized treatment, while allowing patients to benefit from tailored suggestions adapted to their conditions and trajectories. The development of the CTA within the EREBOTS framework enables to effectively evaluate the significance of prognostic variables, detect patient’s high-risk markers, and support treatment decisions.

scholarly journals Extended adverse effects of cyclophosphamide on mouse ovarian function

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jihyun Kim ◽  
Sooseong You
Keyword(s):  
Adverse Effects ◽  
Cancer Survivors ◽  
Cancer Survival ◽  
Ovarian Function ◽  
Treatment Options ◽  
Bioinformatics Analyses ◽  
Hormonal Stimulation ◽  
Patients With Cancer ◽  
Multiple Exposures

Abstract Purpose Most patients with cancer undergo multiple administrations of anticancer drugs during treatment, resulting in chronic impairment of their reproductive health. As improved treatment options increase cancer survival, it has become increasingly important to address fertility issues in cancer survivors. In this study, we examined the pathophysiological effects of multiple exposures to cyclophosphamide (Cy) on the ovaries of mice and their underlying molecular mechanism. Methods Female C57BL/6 mice were intraperitoneally injected with 100 mg/kg Cy six times over 2 weeks; 4 weeks later, the mice were sacrificed and their ovaries, sera, and oocytes were collected for histological observation, measurement of anti-Müllerian hormone levels, and assessment of oocyte quantity and quality in response to hormonal stimulation. Gene expression changes in Cy-treated ovaries were examined by microarray and bioinformatics analyses. Results After repeated Cy exposure, the anti-Müllerian hormone level was decreased, and follicle loss and impairments in the quality of oocyte were irreversible. The expression levels of genes involved in folliculogenesis, oogenesis, and zona pellucida glycoprotein transcription displayed sustained alterations in Cy-exposed ovaries even after 4 weeks. Conclusion The adverse effects of Cy on ovarian function and oocytes remained even after chemotherapy was complete. Therefore, strategies to prevent ovarian damage or restore ovarian function after treatment are required to safeguard the fertility of young cancer survivors.

Trust-Aware Recommender Systems for Open and Mobile Virtual Communities

2010 ◽  
pp. 326-345
Author(s):  
N. Sahli ◽  
G. Lenzini
Keyword(s):  
Recommender Systems ◽  
Virtual Communities ◽  
Multi Agent Systems ◽  
Artificial Intelligent ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent

This chapter surveys and discusses relevant works in the intersection among trust, recommendations systems, virtual communities, and agent-based systems. The target of the chapter is showing how, thanks to the use of trust-based solutions and artificial intelligent solutions like that understanding agents-based systems, the traditional recommender systems can improve the quality of their predictions. Moreover, when implemented as open multi-agent systems, trust-based recommender systems can efficiently support users of mobile virtual communities in searching for places, information, and items of interest.

An Approach to Modeling Integrated Product Teams

2008 ◽  
Author(s):  
Richard M. Crowder ◽  
Y. W. Sim ◽  
Terry Payne ◽  
Mark Robinson ◽  
Helen Jackson ◽  
...  
Keyword(s):  
Design Domain ◽  
Multi Agent Systems ◽  
Full Understanding ◽  
Team Members ◽  
Agent Based ◽  
Agent Systems ◽  
Team Interactions ◽  
Multi Agent ◽  
Initial Results

This paper considers an agent-based approach to organizational modeling within the engineering design domain. It is widely recognized that interactions between individual designers, between (and within) integrated product teams (IPTs), together with the nature of design tasks have a significant impact upon how well a task can be performed, and hence the quality of the resultant product. In order for organizations to gain a full understanding of design team interactions within IPTs, we propose the use of multi-agent systems to model the behaviors and cognitions of team members, and to explore the applicability of different agent-theoretic approaches that could augment current team practices. In this paper we discuss the background to the work and the identifications of individual, and team variables. The paper concludes by discussing the computational model of a small IPT, which has been implemented using JADE, and the initial results are presented.

scholarly journals Extended Adverse Effects of Cyclophosphamide on Mouse Ovarian Function

2020 ◽  
Author(s):  
Jihyun Kim ◽  
Sooseong You
Keyword(s):  
Adverse Effects ◽  
Cancer Survivors ◽  
Cancer Survival ◽  
Ovarian Function ◽  
Treatment Options ◽  
Bioinformatics Analyses ◽  
Hormonal Stimulation ◽  
Patients With Cancer ◽  
Multiple Exposures

Abstract Background: Most patients with cancer undergo multiple administrations of anticancer drugs during treatment, resulting in chronic impairment of their reproductive health. As improved treatment options increase cancer survival, it has become increasingly important to address fertility issues in cancer survivors. In this study, we examined the pathophysiological effects of multiple exposures to cyclophosphamide (Cy) on the ovaries of mice and their underlying molecular mechanism. Methods: Female C57BL/6 mice were intraperitoneally injected with 100 mg/kg Cy six times over 2 weeks; 4 weeks later, the mice were sacrificed and their ovaries, sera, and oocytes were collected for histological observation, measurement of anti-Müllerian hormone levels, and assessment of oocyte quantity and quality in response to hormonal stimulation. Gene expression changes in Cy-treated ovaries were examined by microarray and bioinformatics analyses. Results: After repeated Cy exposure, the anti-Müllerian hormone level was decreased, and follicle loss and impairments in the quality of oocyte were irreversible. The expression levels of genes involved in folliculogenesis, oogenesis, and zona pellucida glycoprotein transcription displayed sustained alterations in Cy-exposed ovaries even after 4 weeks.Conclusion: The adverse effects of Cy on ovarian function and oocytes remained even after chemotherapy was complete. Therefore, strategies to prevent ovarian damage or restore ovarian function after treatment are required to safeguard the fertility of young cancer survivors.

Trust-Aware Recommender Systems for Open and Mobile Virtual Communities

2010 ◽  
pp. 135-153
Author(s):  
N. Sahli ◽  
G. Lenzini
Keyword(s):  
Recommender Systems ◽  
Virtual Communities ◽  
Multi Agent Systems ◽  
Artificial Intelligent ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent

This chapter surveys and discusses relevant works in the intersection among trust, recommendations systems, virtual communities, and agent-based systems. The target of the chapter is showing how, thanks to the use of trust-based solutions and artificial intelligent solutions like that understanding agents-based systems, the traditional recommender systems can improve the quality of their predictions. Moreover, when implemented as open multi-agent systems, trust-based recommender systems can efficiently support users of mobile virtual communities in searching for places, information, and items of interest.

A Multi-Agent-Based Approach for Critical Components Identification and Testing

2017 ◽  
pp. 657-678
Author(s):  
D. Jeya Mala ◽  
R. Iswarya
Keyword(s):  
Crucial Role ◽  
Research Work ◽  
Software Systems ◽  
Test Cases ◽  
Agent Based ◽  
Multi Agent ◽  
Adequacy Criterion ◽  
Critical Components ◽  
Test Adequacy

In real time software systems, testing plays a crucial role as any of the critical components in these systems are left undetected, then inadvertent effects will happen which will lead to erroneous operations, system failure, high cost and resource wastage etc. To address this most important and the emergent problem, this research work proposes an effective method by means of multi-agents based approach to identify such critical components and execute test cases along the critical test paths which will aid in effectively covering them during testing. Finally, this paper also compared the performance with existing approaches in terms of time taken for the search process and the component coverage based test adequacy criterion to ensure quality of the software.

scholarly journals Accidental encounters: can accidents be adaptive?

2018 ◽  
Vol 26 (6) ◽  
pp. 285-307
Author(s):  
Giordano BS Ferreira ◽  
Matthias Scheutz
Keyword(s):  
Task Performance ◽  
Time Window ◽  
Fixed Time ◽  
Location Selection ◽  
Agent Based ◽  
Selection Strategies ◽  
Multi Agent ◽  
The Individual ◽  
Partially Observable

Accidents happen in nature, from simple incidents like bumping into obstacles, to erroneously arriving at the wrong location, to mating with an unintended partner. Whether accidents are problematic for an animal depends on their context, frequency, and severity. In this article, we investigate the question of how accidents affect the task performance of agents in an agent-based simulation model for a wide class of tasks called “multi-agent territory exploration” tasks (MATE). In MATE tasks, agents have to visit particular locations of varying quality in partially observable environments within a fixed time window. As such, agents have to balance the quality of the location with how much energy they are willing to expend reaching it. Arriving at the wrong location by accident typically reduces task performance. We model agents based on two location selection strategies that are hypothesized to be widely used in nature: best-of-n and min-threshold. Our results show that the two strategies lead to different accident rates and thus overall different levels of performance based on the degree of competition among agents, as well as the quality, density, visibility, and distribution of target locations in the environment. We also show that in some cases, individual accidents can be advantageous for both the individual and the whole group.

scholarly journals Association of Health-Related Quality of Life with Breast Cancer Survival among Hispanic Population Using 10 Years of MEPS National Sample Cohort Data

2020 ◽  
pp. 1-9
Author(s):  
Jongwha Chang ◽  
Marie Angayen ◽  
Jihaeng Heo ◽  
Susana Lopez ◽  
Jongwha Chang
Keyword(s):  
Breast Cancer ◽  
Cancer Survivors ◽  
Breast Cancer Survivors ◽  
Cancer Survival ◽  
Breast Cancer Survival ◽  
Hispanic Population ◽  
The Us ◽  
Related Quality ◽  
Health Related

Background: Breast cancer is the most commonly diagnosed cancer among women in the United States and it is the leading cause of death among the Hispanic population. Little evidence exists the association of health-related quality of life (HRQoL) by the presence of breast cancer survival among the Latina population. This study was to look at the association of the presence of breast cancer survival on HRQoL measure in the US Hispanic population. Methods: This was a cross-sectional study analyzing data from the 2006-2015 Medical Expenditure Panel Survey (MEPS). The target population was comprised of Hispanic community-dwelling residents with breast cancer in the US. Two multivariate regression models were used to predict HRQoL measure by the presence of breast cancer survival among the Hispanic population. Results: A total 207 breast cancer survivors met the study inclusion criteria, and the estimated population size was 1.200,337 breast cancer survivors. In the multiple regression analysis on the SF-12 PCS scores, age, census region, poverty level, perceived health status, BMI, and employment were associated with SF12 PCS scores. The multiple regression analysis on the SF-12 MCS scores presented that age, census region, insurance type, perceived mental health status, and CCI were associated with SF-12 MCS scores. Conclusion: This study presents data on the HRQoL of Hispanic breast cancer survivors in the U.S. It builds on previous research that examines the HRQoL as expressed through the SF-12 PCS and SF-12 MCS surveys, rather than other types of measurement. This study may also be used as a guide in the implementation of clinical interventions and plans for survivorship care in improving the HRQoL of Hispanic breast cancer survivors.

A Mobile Agent-Based Technique for Medical Monitoring (Supports of Patients with Diabetes)

2014 ◽  
Vol 4 (1) ◽  
pp. 17-32
Author(s):  
Zineb Chaouch ◽  
Mohammed Tamali
Keyword(s):  
Mobile Agent ◽  
Geographic Location ◽  
Fast Response ◽  
Diabetic Patients ◽  
Outpatient Basis ◽  
Medical Monitoring ◽  
Agent Based ◽  
Patients With Diabetes ◽  
Multi Agent

Telemedicine is a particularly useful means to optimize the quality of care by fast medical exchanges that benefit patients whose state of health requires an appropriate and fast response, regardless of their geographic location. In this paper, the authors propose a mobile agent based architecture (DiabMAS) for remote medical monitoring of diabetic patients on an outpatient basis using mobile devices (laptops, PDAs, etc ...) by exploring the new operating Mobile system, Android. DiabMAS is a multi-agent system having as main objective the improvement of the transmission of information between patients and their physicians, especially the management of specific and critical cases.

A Multi Agent Based Approach for Critical Components Identification and Testing

2014 ◽  
Vol 4 (1) ◽  
pp. 21-38 ◽  
Author(s):  
D. Jeya Mala ◽  
R. Iswarya
Keyword(s):  
Research Work ◽  
Software Systems ◽  
Test Cases ◽  
Critical Test ◽  
Agent Based ◽  
Multi Agent ◽  
Critical Components ◽  
Test Adequacy ◽  
Multi Agents

In real time software systems, testing plays a crucial role as any of the critical components in these systems are left undetected, then inadvertent effects will happen which will lead to erroneous operations, system failure, high cost and resource wastage etc. To address this most important and the emergent problem, this research work proposes an effective method by means of multi-agents based approach to identify such critical components and execute test cases along the critical test paths which will aid in effectively covering them during testing. Finally, this paper also compared the performance with existing approaches in terms of time taken for the search process and the component coverage based test adequacy criterion to ensure quality of the software.

Sign in / Sign up

Export Citation Format

Share Document