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Träfflista för sökning "WFRF:(Ahmed Mobyen Uddin) srt2:(2008)"

Sökning: WFRF:(Ahmed Mobyen Uddin) > (2008)

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1.
  • Ahmed, Mobyen Uddin, et al. (författare)
  • A Three Phase Computer Assisted Biofeedback Training System Using Case-Based Reasoning
  • 2008
  • Ingår i: Proc. 9th European Conference on Case-based Reasoning. ; , s. 57-68
  • Konferensbidrag (refereegranskat)abstract
    • Biofeedback is a method gaining increased interest and showing good results for a number of physical and psychological problems. Biofeedback training is mostly guided by an experienced clinician and the results largely rely on the clinician's competence. In this paper we propose a three phase computer assisted sensor-based biofeedback decision support system assisting less experienced clinicians, acting as second opinion for experienced clinicians. The three phase CBR framework is deployed to classify a patient, estimate initial parameters and to make recommendations for biofeedback training by retrieving and comparing with previous similar cases in terms of features extracted. The three phases work independently from each other. Moreover, fuzzy techniques are incorporated into our CBR system to better accommodate uncertainty in clinicians reasoning as well as decision analysis. All parts in the proposed framework have been implemented and primarily validated in a prototypical system. The initial result shows how the three phases functioned with CBR technique to assist biofeedback training. Eventually the system enables the clinicians to allow a patient to train himself/herself unsupervised.
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2.
  • Ahmed, Mobyen Uddin, et al. (författare)
  • Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity
  • 2008
  • Ingår i: Case-based Reasoning for Diagnosis of Stress using Enhanced Cosine and Fuzzy Similarity. - 1867-366X. ; 1, s. 3-19
  • Tidskriftsartikel (refereegranskat)abstract
    • Intelligent analysis of heterogeneous data and information sources for efficient decision support presents an interesting yet challenging task in clinical envi-ronments. This is particularly the case in stress medicine where digital patient re-cords are becoming popular which contain not only lengthy time series measurements but also unstructured textual documents expressed in form of natural languages. This paper develops a hybrid case-based reasoning system for stress di-agnosis which is capable of coping with both numerical signals and textual data at the same time. The total case index consists of two sub-parts corresponding to signal and textual data respectively. For matching of cases on the signal aspect we present a fuzzy similarity matching metric to accommodate and tackle the imprecision and uncertainty in sensor measurements. Preliminary evaluations have revealed that this fuzzy matching algorithm leads to more accurate similarity estimates for improved case ranking and retrieval compared with traditional distance-based matching crite-ria. For evaluation of similarity on the textual dimension we propose an enhanced cosine matching function augmented with related domain knowledge. This is im-plemented by incorporating Wordnet and domain specific ontology into the textual case-based reasoning process for refining weights of terms according to available knowledge encoded therein. Such knowledge-based reasoning for matching of tex-tual cases has empirically shown its merit in improving both precision and recall of retrieved cases with our initial medical databases. Experts in the domain are very positive to our system and they deem that it will be a valuable tool to foster wide-spread experience reuse and transfer in the area of stress diagnosis and treatment.
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  • Resultat 1-2 av 2
Typ av publikation
tidskriftsartikel (1)
konferensbidrag (1)
Typ av innehåll
refereegranskat (2)
Författare/redaktör
Xiong, Ning (2)
Ahmed, Mobyen Uddin (2)
Funk, Peter (2)
Begum, Shahina (2)
von Schéele, Bo (2)
Lärosäte
Mälardalens universitet (2)
Språk
Engelska (2)
Forskningsämne (UKÄ/SCB)
Teknik (2)
År
2008 (2)Ta bort avgränsningen

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