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Sökning: WFRF:(Ahmed Mobyen Uddin)

  • Resultat 51-60 av 155
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51.
  • Ahmed, Mobyen Uddin, et al. (författare)
  • System Overview on a Clinical Decision Support System for Stress Management
  • 2012
  • Ingår i: Proceedings of the ICCBR 2012 Workshops. ; , s. 111-116
  • Konferensbidrag (refereegranskat)abstract
    • There is an increased need for Clinical Decision Support Systems (CDSS) in the medical community as ICT technology is increasingly used in hospitals as more and more patient data is stored in computers. A CDSS has the potential to play a vital role and bring essential information and knowledge to the clinicians and function as a second opinion in their decision-making tasks. In this paper, a CDSS in stress management is presented where the CDSS can help the clinicians in order to diagnosis and treat stress related disorders. As a foundation for the CDSS, the Case-Based Reasoning (CBR) approach has been used as a core method of the system. The systems also combine other techniques from artificial intelligence in a multimodal manner, such as fuzzy logic, rule-based reasoning and textual information retrieval. In this paper we review our experiences and research efforts while developing the CDSS. The performance of the CDSS shows that the system can be useful both for trainee clinicians as an expert and as well as for senior clinicians as a second option. Moreover, the observation shows the current developments, and pros and cons of the CBR approach.
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52.
  • Ahmed, Mobyen Uddin, et al. (författare)
  • The 3 CDSSs: An Overview and Application in Case-Based Reasoning
  • 2012
  • Ingår i: The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS). - Linköping : Linköping University Electronic Press. ; , s. 25-32
  • Konferensbidrag (refereegranskat)abstract
    • A computer-aided Clinical Decision SupportSystem (CDSS) for diagnosis and treatment often plays a vital role and brings essential benefits for clinicians. Such a CDSScould function as an expert for a less experienced clinician oras a second option/opinion of an experienced clinician to their decision making task. This paper presents 3 clinical DecisionSupport Systems as an overview of case-based reasoning (CBR) research and development. Two medical domains are used here for the case study 1) CDSS for stress diagnosis 2) CDSS for stress treatment and 3) CDSS for post-operative pain treatment.The observation shows the current developments, future direction and pros and cons of the CBR approach. Moreover,the paper shares the experiences of developing 3CDSS in medical domain.
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53.
  • Ahmed, Mobyen Uddin, et al. (författare)
  • Third Eye : An Intelligent Assisting Aid for Visual Impairment Elderly
  • 2016
  • Ingår i: Medicinteknikdagarna 2016 MTF.
  • Konferensbidrag (refereegranskat)abstract
    • Background Visually impaired older persons need support in daily activities, e.g. moving around inside the house; making and eating food and taking medicine independently. A system that simulates the environment based on both dynamic and static objects, identify obstacles, navigates and translates sensory information in voice would be valuable to support their daily activities. Today several sensors and camera-based systems are popular as ambient-assisted living tools for older adults. However, intelligent assisting aid (IAA) to support older individuals with a recently acquired visual impairment is limited. The proposed system ‘Third Eye’ focuses on the advanced research and development of an IAA to support older individuals with a recently acquired visual impairment. The main goal in this system is to provide a usable, feasible and cost-effective solution for older persons to support their daily activities using intelligent sensor based system. Method The system consists of the following five phases to meet several central challenges in developing IAA in such domain. • User-perspective, focuses on user-driven technical development, investigating needs of potential users. The study will have a participatory design with focus group interviews of lead users. • Sensor-based system, focuses on the identification obstacles based on ultrasounds and/or radio frequencies embedded in white-cane or weaker. • Camera-based system, focuses on image based information translation into voice embedded in white-cane or weaker or glasses. • System of systems, focuses on integration of above systems where knowledge is engineered and suitable representations are learned and reasoning for decisions are made [9]. • Experimental, focuses on usability and feasibility of the IAA, with idiographic and group studies Results The initial results have shown the necessity of the proposed AAI systems for older individuals with a recently acquired visual impairment. However, more extension work e.g., process and analyze the information and synthesize it with existing literature for developing the system is ongoing.
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54.
  • Ahmed, Mobyen Uddin, Dr, 1976-, et al. (författare)
  • When a CBR in Hand is Better than Twins in the Bush
  • 2022
  • Ingår i: CEUR Workshop Proceedings, vol. 3389. - : CEUR-WS. ; , s. 141-152
  • Konferensbidrag (refereegranskat)abstract
    • AI methods referred to as interpretable are often discredited as inaccurate by supporters of the existence of a trade-off between interpretability and accuracy. In many problem contexts however this trade-off does not hold. This paper discusses a regression problem context to predict flight take-off delays where the most accurate data regression model was trained via the XGBoost implementation of gradient boosted decision trees. While building an XGB-CBR Twin and converting the XGBoost feature importance into global weights in the CBR model, the resultant CBR model alone provides the most accurate local prediction, maintains the global importance to provide a global explanation of the model, and offers the most interpretable representation for local explanations. This resultant CBR model becomes a benchmark of accuracy and interpretability for this problem context, and hence it is used to evaluate the two additive feature attribute methods SHAP and LIME to explain the XGBoost regression model. The results with respect to local accuracy and feature attribution lead to potentially valuable future work. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR Workshop Proceedings (CEUR-WS.org)
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55.
  • Altarabichi, Mohammed Ghaith, et al. (författare)
  • Reaction Time Variability Association with Unsafe Driving
  • 2020
  • Ingår i: Transport Research Arena TRA2020. - Helsinki, Finland.
  • Konferensbidrag (refereegranskat)abstract
    • This paper investigates several human factors including visual field, reaction speed, driving behavior and personality traits based on results of a cognitive assessment test targeting drivers in a Naturalistic Driving Study (NDS). Frequency of being involved in Near Miss event (fnm) and Frequency of committing Traffic Violation (ftv) are defined as indexes of safe driving in this work. Inference of association shows statistically significant correlation between Standard Deviation of Reaction Time (σRT) and both safe driving indexes fnm and ftv. Causal relationship analysis excludes age as confounding factor as variations in behavioral responses is observed in both younger and older drivers of this study.
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56.
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57.
  • Banaee, Hadi, 1986-, et al. (författare)
  • A framework for automatic text generation of trends in physiological time series data
  • 2013
  • Ingår i: IEEE International Conference on Systems, Man, and Cybernetics, 13-16 Oct. 2013, Manchester. - : IEEE conference proceedings. - 9781479906529 - 9780769551548 ; , s. 3876-3881
  • Konferensbidrag (refereegranskat)abstract
    • Health monitoring systems using wearable sensorshave rapidly grown in the biomedical community. The mainchallenges in physiological data monitoring are to analyse largevolumes of health measurements and to represent the acquiredinformation. Natural language generation is an effective methodto create summaries for both clinicians and patients as it candescribe useful information extracted from sensor data in textualformat. This paper presents a framework of a natural languagegeneration system that provides a text-based representation ofthe extracted numeric information from physiological sensorsignals. More specifically, a new partial trend detection algorithmis introduced to capture the particular changes and events ofhealth parameters. The extracted information is then representedconsidering linguistic characterisation of numeric features. Ex-perimental analysis was performed using a wearable sensor and demonstrates a possible output in natural language text.
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58.
  • Banaee, Hadi, 1986-, et al. (författare)
  • Data mining for wearable sensors in health monitoring systems : a review of recent trends and challenges
  • 2013
  • Ingår i: Sensors. - Basel : MDPI. - 1424-8220. ; 13:12, s. 17472-17500
  • Tidskriftsartikel (refereegranskat)abstract
    • The past few years have witnessed an increase in the development of wearable sensors for health monitoring systems. This increase has been due to several factors such as development in sensor technology as well as directed efforts on political and stakeholder levels to promote projects which address the need for providing new methods for care given increasing challenges with an aging population. An important aspect of study in such system is how the data is treated and processed. This paper provides a recent review of the latest methods and algorithms used to analyze data from wearable sensors used for physiological monitoring of vital signs in healthcare services. In particular, the paper outlines the more common data mining tasks that have been applied such as anomaly detection, prediction and decision making when considering in particular continuous time series measurements. Moreover, the paper further details the suitability of particular data mining and machine learning methods used to process the physiological data and provides an overview of the properties of the data sets used in experimental validation. Finally, based on this literature review, a number of key challenges have been outlined for data mining methods in health monitoring systems
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59.
  • Banaee, Hadi, 1986-, et al. (författare)
  • Descriptive Modelling of Clinical Conditions with Data-driven Rule Mining in Physiological Data
  • 2015
  • Ingår i: Proceedings of the 8th International conference of Health Informatics (HEALTHINF 2015). - Lisbon, Portugal : SciTePress. - 9789897580680
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents an approach to automatically mine rules in time series data representing physiologicalparameters in clinical conditions. The approach is fully data driven, where prototypical patterns are mined foreach physiological time series data. The generated rules based on the prototypical patterns are then describedin a textual representation which captures trends in each physiological parameter and their relation to the otherphysiological data. In this paper, a method for measuring similarity of rule sets is introduced in order tovalidate the uniqueness of rule sets. This method is evaluated on physiological records from clinical classesin the MIMIC online database such as angina, sepsis, respiratory failure, etc.. The results show that the rulemining technique is able to acquire a distinctive model for each clinical condition, and represent the generatedrules in a human understandable textual representation
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60.
  • Banaee, Hadi, et al. (författare)
  • Towards NLG for Physiological Data Monitoring with Body Area Networks
  • 2013
  • Ingår i: 14th European Workshop on Natural Language Generation ENLG. - London, United Kingdom. - 9781937284565
  • Konferensbidrag (refereegranskat)abstract
    • This position paper presents an on-going work on a natural language generation framework that is particularly tailored for summary text generation from body area networks. We present an overview of the main challenges when considering this type of sensor devices used for at home monitoring of health parameters. This pa- per describes the first steps towards the im- plementation of a system which collects information from heart rate and respira- tion rate using a wearable sensor. The pa- per further outlines the direction for future work and in particular the challenges for NLG in this application domain
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