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Giovanni Bortolan

Bio: Giovanni Bortolan is an academic researcher from National Research Council. The author has contributed to research in topics: QRS complex & Fuzzy set. The author has an hindex of 20, co-authored 72 publications receiving 2704 citations.


Papers
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Journal ArticleDOI
TL;DR: The linguistic approximation method used in this situation of deciding upon various diagnostic abnormalities suggested by the analysis of the electrocardiographic signal is described and its main merit is its simple linguistic output.

362 citations

01 Jan 1997
TL;DR: It is concluded that self-reported information would lead to inaccurate estimates of prevalence rates suggesting the need for including the clinical ascertainment in any population-based epidemiological study.
Abstract: (67.3% versus 59.4%), heart failure (7.3% versus 5.4%) and dementia (7.2% versus 5.3%). No gender difference was found for stroke, angina, diabetes, Parkinsonism and distal symmetric neuropathy. Unreported diagnoses accounted for 85% of cases of distal symmetric neuropathy, for more than half the cases of cardiac failure, for 40% of cases of angina, and for more than one-third of cases of arrhythmia, myocardial infarction, peripheral artery disease, hypertension, Parkinsonism. Data from the phase 1 interview showed substantial overreporting for myocardial infarction, peripheral artery disease, diabetes, and stroke. Conclusions. The authors conclude that self-reported information would lead to inaccurate estimates of prevalence rates suggesting the need for including the clinical ascertainment in any population-based epidemiological study.

191 citations

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TL;DR: The Italian Longitudinal Study on Aging (ILSA) as mentioned in this paper evaluated the rates of diabetes, cardiovascular and neurological disorders in a random sample of 5632 Italians aged 65-84 years.
Abstract: BACKGROUND The Italian Longitudinal Study on Aging (ILSA) evaluates the rates of diabetes, cardiovascular and neurological disorders in a random sample of 5632 Italians aged 65-84 years. METHODS The ILSA has two components: a first screening phase administered to all participants, that includes a personal interview, physician examination, laboratory and diagnostic tests, and a second phase, consisting of the clinical confirmation of suspected cases by a specialist. RESULTS Prevalence rates were significantly higher among men for myocardial infarction (10.7% versus 4.8%), cardiac arrhythmia (25.1% versus 20.3%) and peripheral artery disease (8.1% versus 5.2%), and among women for hypertension (67.3% versus 59.4%), heart failure (7.3% versus 5.4%) and dementia (7.2% versus 5.3%). No gender difference was found for stroke, angina, diabetes, Parkinsonism and distal symmetric neuropathy. Unreported diagnoses accounted for 85% of cases of distal symmetric neuropathy, for more than half the cases of cardiac failure, for 40% of cases of angina, and for more than one-third of cases arrhythmia, myocardial infarction, peripheral artery disease, hypertension, Parkinsonism. Data from the phase 1 interview showed substantial overreporting for myocardial infarction, peripheral artery disease, diabetes, and stroke. CONCLUSIONS The authors conclude that self-reported information would lead to inaccurate estimates of prevalence rates suggesting the need for including the clinical ascertainment in any population-based epidemiological study.

169 citations

Journal ArticleDOI
TL;DR: An analysis of electrocardiographic pattern recognition parameters for premature ventricular contraction (PVC) and normal (N) beat classification is presented and the achieved specificity and sensitivity are comparable with, and greater than, the results reported in the literature.
Abstract: An analysis of electrocardiographic pattern recognition parameters for premature ventricular contraction (PVC) and normal (N) beat classification is presented. Twenty-six parameters were defined: 11 x 2 for the two electrocardiogram (ECG) leads, width of the complex and three parameters derived from a single-plane vectorcardiogram (VCG). Some of the parameters include amplitudes of maximal positive and maximal negative peaks, area of absolute values, area of positive values, area of negative values, number of samples with 70% higher amplitude than that of the highest peak, amplitude and angle of the QRS vector in a VCG plane. They were measured for all heartbeats annotated as N or PVC in all 48 ECG recordings of the MIT-BIH arrhythmia database. Two reference sets for the Kth nearest-neighbours rule were used-global and local. The classification indices obtained with the global reference set were 75.4% specificity and 80.9% sensitivity. Using the local reference set we increased the specificity to 96.7% and the sensitivity to 96.9%. The achieved specificity and sensitivity are comparable with, and greater than, the results reported in the literature.

108 citations


Cited by
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Journal ArticleDOI
TL;DR: This paper develops a computational technique for computing with words without any loss of information in the 2-tuple linguistic model and extends different classical aggregation operators to deal with this model.
Abstract: The fuzzy linguistic approach has been applied successfully to many problems. However, there is a limitation of this approach imposed by its information representation model and the computation methods used when fusion processes are performed on linguistic values. This limitation is the loss of information; this loss of information implies a lack of precision in the final results from the fusion of linguistic information. In this paper, we present tools for overcoming this limitation. The linguistic information is expressed by means of 2-tuples, which are composed of a linguistic term and a numeric value assessed in (-0.5, 0.5). This model allows a continuous representation of the linguistic information on its domain, therefore, it can represent any counting of information obtained in a aggregation process. We then develop a computational technique for computing with words without any loss of information. Finally, different classical aggregation operators are extended to deal with the 2-tuple linguistic model.

2,353 citations

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TL;DR: Methodological issues in evaluating multimorbidity are discussed as well as future research needs, especially concerning etiological factors, combinations and clustering of chronic diseases, and care models for persons affected by multiple disorders.

2,107 citations

Journal ArticleDOI
TL;DR: A study on the steps to follow in linguistic decision analysis is presented in a context of multi-criteria/multi-person decision making.

1,522 citations

Journal ArticleDOI
TL;DR: The forecast of the enrollments of the University of Alabama is carried out and a fuzzy time series model is developed using historical data, which is tested on the basis of its robustness andvantages and problems.

1,188 citations

Journal ArticleDOI
TL;DR: In this article, a fuzzy extended analytic hierarchy process (FEAHP) based methodology is discussed to tackle the different decision criteria like cost, quality, service performance and supplier's profile including the risk factors involved in the selection of global supplier in the current business scenario.
Abstract: Global supplier development is a multi-criterion decision problem which includes both qualitative and quantitative factors. The global supplier selection problem is more complex than domestic one and it needs more critical analysis. The aim of this paper is to identify and discuss some of the important and critical decision criteria including risk factors for the development of an efficient system for global supplier selection. Fuzzy extended analytic hierarchy process (FEAHP) based methodology will be discussed to tackle the different decision criteria like cost, quality, service performance and supplier's profile including the risk factors involved in the selection of global supplier in the current business scenario. FEAHP is an efficient tool to handle the fuzziness of the data involved in deciding the preferences of different decision variables. The linguistic level of comparisons produced by the customers and experts for each comparison are tapped in the form triangular fuzzy numbers to construct fuzzy pair-wise comparison matrices. The implementation of the system is demonstrated by a problem having four stages of hierarchy which contains different criteria and attributes at wider perspective. The proposed model can provide not only a framework for the organization to select the global supplier but also has the capability to deploy the organization's strategy to its supplier.

1,152 citations