Health Monitoring by an Image Interpretation System – A System for Airborne Fungi Identification

Perner, Petra; Günther, Thomas; Perner, Horst; Fiss, G.; Ernst, R.

doi:10.1007/978-3-540-39619-2_9

Cited by 8 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A CBR system for cancer diagnosis has been proposed by Diaz, Fdez-Riverola, and Corchado (2006) that combine fuzzy case representation, a neural network to cluster the cases and a set of rules for the classification. All these projects and others (Gierl 1993;Schmidt and Gierl 2002;Perner et al 2003) show significant evidence of successful implementations of the CBR techniques in the medical domain. Nevertheless, the application of CBR in the psycho-physiological domain has been limited so far.…”

Section: Related Workmentioning

confidence: 96%

“…The aim of this research work is to help clinicians to diagnose individual stress level of a patient. The main approach is based on the use of case-based reasoning (CBR), a methodology receiving increased attention in the medical and psychological domain, for example, as in Bichindaritz (1996), Perner et al (2003), Schmidt, Tina, and Lothar (2006), and Nilsson et al (2006). The approach enables reuse of experience from previous cases with analyzed temperature and stress profiles.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Case‐based Decision Support System for Individual Stress Diagnosis Using Fuzzy Similarity Matching

Begum

Ahmed

Funk

et al. 2009

Computational Intelligence

View full text Add to dashboard Cite

Stress diagnosis based on finger temperature (FT) signals is receiving increasing interest in the psychophysiological domain. However, in practice, it is difficult and tedious for a clinician and particularly less experienced clinicians to understand, interpret, and analyze complex, lengthy sequential measurements to make a diagnosis and treatment plan. The paper presents a case-based decision support system to assist clinicians in performing such tasks. Case-based reasoning (CBR) is applied as the main methodology to facilitate experience reuse and decision explanation by retrieving previous similar temperature profiles. Further fuzzy techniques are also employed and incorporated into the CBR system to handle vagueness, uncertainty inherently existing in clinicians reasoning as well as imprecision of feature values. Thirty-nine time series from 24 patients have been used to evaluate the approach (matching algorithms) and an expert has ranked and estimated similarity. On average goodness-of-fit for the fuzzy matching algorithm is 90% in ranking and 81% in similarity estimation that shows a level of performance close to an experienced expert. Therefore, we have suggested that a fuzzy matching algorithm in combination with CBR is a valuable approach in domains, where the fuzzy matching model similarity and case preference is consistent with the views of domain expert. This combination is also valuable, where domain experts are aware that the crisp values they use have a possibility distribution that can be estimated by the expert and is used when experienced experts reason about similarity. This is the case in the psycho-physiological domain and experienced experts can estimate this distribution of feature values and use them in their reasoning and explanation process.

show abstract

Section: Related Workmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

A Case‐based Decision Support System for Individual Stress Diagnosis Using Fuzzy Similarity Matching

Begum

Ahmed

Funk

et al. 2009

Computational Intelligence

View full text Add to dashboard Cite

show abstract

“…The following chapter describes the main units and functions of the demonstration set-up realized in the course of the project. A stock of special object slides covered with a sticky layer and obtained from Umweltanalytik Holbach [11], (Figure 2) is kept in a slide storage. A sliding gripper takes the lowest slide in the storage and transports it into the slit impactor obtained from Umweltanalytik Holbach (Figure 3).…”

Section: The Automatic Sample-acquisition and Handling Systemmentioning

confidence: 99%

Untitled

2018

CTBEB

View full text Add to dashboard Cite

Human beings are exposed every day to bio-aerosols in their personal and/or professional life. The European Commission has issued regulations for protecting employees in the workplace from biological hazards. Airborne fungi can be detected and identified by an imageacquisition and interpretation system. In this paper we present recent results on the development of an automated image acquisition, sample handling and image-interpretation system for airborne fungi identification. We explain the application domain and describe the development issues. The development strategy and the architecture of the system are described and results are presented.

show abstract

“…Perner (2002) has connected (or) has made a bridge between CBR and dissimilarity classification research methods, which has become important in pattern recognition. The application of case-based image interpretation to health monitoring and biotechnology is described in Perner et al (2003). Learning case representations and improving system performance by controlling the similarity measure is described in Perner et al (2002).…”

Section: Image Processingmentioning

confidence: 99%