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Your search keyword '"Mangia, M."' showing total 147 results
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147 results on '"Mangia, M."'

6. P256 The practical use of an eHealth platform for inflammatory bowel disease patients: the validation of the IBD Tool web-based tele-monitoring system

Author

Giuffrida, E, primary, Mangia, M, additional, Figini, V, additional, Carli, E, additional, Colombo, A, additional, Mendolaro, M, additional, Lavagna, A, additional, Lia, C, additional, Bonina, M, additional, Martínez De Carnero, F, additional, Morello, E, additional, Cosimato, M, additional, Rocca, R, additional, Pagna, G, additional, and Daperno, M, additional

Published
2022
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7. P353 Agreement between patients, senior and junior physicians on disease activity and burden scoring in inflammatory bowel disease, using a tele-monitoring platform

Author

Mangia, M, primary, Giuffrida, E, additional, Figini, V, additional, Colombo, A, additional, Carli, E, additional, Mendolaro, M, additional, Lavagna, A, additional, Lia, C, additional, Bonina, M, additional, Martínez De Carnero, F, additional, Morello, E, additional, Cosimato, M, additional, Rocca, R, additional, Pagana, G, additional, and Daperno, M, additional

Published
2022
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9. Compressed Sensing Inspired Neural Decoder for Undersampled MRI with Self-Assessment

Author

Martinini, F., Mangia, M., Pareschi, F., Rovatti, R., Setti, G., Martinini, Filippo, Mangia, Mauro, Pareschi, Fabio, Rovatti, Riccardo, and Setti, Gianluca

Subjects
Magnetic resonance imaging, Measurement uncertainty, Decoding, Image reconstruction, Magnetic Resonance Imaging (MRI), Compressed Sensing (CS), Neural Networks, Deep Neural Networks, U-NET, Time measurement, Magnetic resonance imaging, Measurement uncertainty, Biomedical measurement, Time measurement, Robustness, Decoding, Image reconstruction, Biomedical measurement, Robustness
Published
2021

10. OC.09.2 VITAMIN D-RELATED GENETICS AS PREDICTOR OF RESPONSE TO ADALIMUMAB IN CROHN’S DISEASE

Author

Cusato, J., primary, Bertani, L., additional, Antonucci, M., additional, Tomasello, C., additional, Caviglia, G.P., additional, Dibitetto, S., additional, Massano, A., additional, Mangia, M., additional, Mula, J., additional, Ceccarelli, L., additional, Costa, F., additional, Zanzi, F., additional, Astegiano, M., additional, Ribaldone, D.G., additional, and D’avolio, A., additional

Published
2021
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16. Compressed Sensing of ΔΣ Streams

Author

Callegari, S., Mangia, M., Rovatti, R., Setti, G., Sergio Callegari, Mauro Mangia, Riccardo Rovatti, and Gianluca Setti

Subjects
Compressed sensing, Delta-Sigma modulator, Delta-Sigma modulator, ECG, Compressed sensing
Abstract

Compressed sensing (CS) is often applied at the digital level. We consider the case where CS follows a ΔΣ data converter and we show that CS can be practiced directly on the ΔΣ stream. In the proposed scheme, an appropriate sensing matrix incorporates the ability to get rid of the quantization noise from the ΔΣ modulator. We also show that a suitable sparsity basis enables the CS information recovery to be practiced directly at the Nyquist rate and that decimation, which is typically inherent in ΔΣ data acquisition, is not needed. Furthermore, the low depth of ΔΣ streams allows CS measures to be taken without multipliers, streamlining arithmetic blocks. A test case based on electrocardiograms is used to validate the approach.

Published
2019

18. Application of Lean Six Sigma methodology to a school based immunization project in Italy

Author

Cadeddu, C., Poscia, A., Parente, P., Kheiraoui, F., Frisicale, E., La Milia, D., Ungari, J., Di Stefano, F., Bartolucci, S., Annona, C., Bonanno, V., Casuccio, N., D'Amici, A., D'Angelo, C., Fraioli, A., Iacovelli, A., Mangia, M., Mazzucco, W., Moliterni, E., Palmeri, S., Spadea, A., Boccia, S., Ricciardi, W., Cadeddu, C., Poscia, A., Parente, P., Kheiraoui, F., Frisicale, E., La Milia, D., Ungari, J., Di Stefano, F., Bartolucci, S., Annona, C., Bonanno, V., Casuccio, N., D'Amici, A., D'Angelo, C., Fraioli, A., Iacovelli, A., Mangia, M., Mazzucco, W., Moliterni, E., Palmeri, S., Spadea, A., Boccia, S., and Ricciardi, W.

Subjects
education, prevention, Lean Six Sigma, school, immunization, Settore MED/42 - Igiene Generale E Applicata
Published
2015

19. IL ROLE PLAY AL SERVIZIO DELLA PROMOZIONE DELLA SALUTE TRA GLI STUDENTI DELLE SCUOLE MEDIE: IL PROGETTO PILOTA 'VACCINIAMO LE SCUOLE'

Author

Bartolucci, S., Distefano, F., Ungari, J., Kheiraoui, F., Parente, P., Milia, D., Frisicale, E., Cadeddu, C., Sezzatini, R., Mascia, D., Iacopino, V., Spadea, A., PALMERI, Sara, Moliterni, E., MAZZUCCO, Walter, Mangia, M., Iacovelli, A., D’Angelo, C., Maria, D., Casuccio, N., BONANNO, Valentina, Annona, C., Poscia, A., Boccia, S., Ricciardi, W., Bartolucci, S., Distefano, F., Ungari, J., Kheiraoui, F., Parente, P., Milia, D., Frisicale, E., Cadeddu, C., Sezzatini, R., Mascia, D., Iacopino, V., Spadea, A., Palmeri, S., Moliterni, E., Mazzucco, W., Mangia, M., Iacovelli, A., D’Angelo, C., Maria, D., Casuccio, N., Bonanno, V., Annona, C., Poscia, A., Boccia, S., and Ricciardi, W.

Subjects
vaccinazioni, promozione salute, Role play, Settore MED/42 - Igiene Generale E Applicata
Abstract

Role play; promozione salute; vaccinazioni

Published
2015

20. Students’ social networks and vaccination behaviour in Italian junior high schools: preliminary results from the 'VacciniAmo le Scuole' project

Author

Poscia, A., Frisicale, E., La Milia, D., Mascia, D., Iacopino, V., Parente, P., Cadeddu, C., Kheiraoui, F., Ungari, J., Spadea, A., Palmeri, S., Moliterni, E., Mazzucco, W., Mangia, M., Iacovelli, A., Fraioli, A., D'Angelo, C., D'Amici, A., Casuccio, N., Bonanno, V., Annona, C., Boccia, S., Ricciardi, W., Poscia, A., Frisicale, E., La Milia, D., Mascia, D., Iacopino, V., Parente, P., Cadeddu, C., Kheiraoui, F., Ungari, J., Spadea, A., Palmeri, S., Moliterni, E., Mazzucco, W., Mangia, M., Iacovelli, A., Fraioli, A., D'Angelo, C., D'Amici, A., Casuccio, N., Bonanno, V., Annona, C., Boccia, S., and Ricciardi, W.

Subjects
behavior, social network, Student, Students, social networks, vaccination, high schools, Settore MED/42 - Igiene Generale E Applicata
Abstract

Students; social networks; vaccination; behavior; high schools

Published
2015

22. Tools to differentiate medium-high versus medium low-care intensity in an Internal Medecine Unit

Author

Mangia, M, Casati, M, Carobbio, A, Caldara, R, Morandi, I, Cattaneo, M, Senni, M, Pagani, G, Ghidoni, S, Tiraboschi, P, Galbiati, G, Capelli, C, Tomasoni, L, Cesa, S, Brucato, A, Mangia M, Casati M, Carobbio A, Caldara R, Morandi I, Cattaneo M, Senni M, Pagani G, Ghidoni S, Tiraboschi P, Galbiati G, Capelli C, Tomasoni L, Cesa S, Brucato A, Mangia, M, Casati, M, Carobbio, A, Caldara, R, Morandi, I, Cattaneo, M, Senni, M, Pagani, G, Ghidoni, S, Tiraboschi, P, Galbiati, G, Capelli, C, Tomasoni, L, Cesa, S, Brucato, A, Mangia M, Casati M, Carobbio A, Caldara R, Morandi I, Cattaneo M, Senni M, Pagani G, Ghidoni S, Tiraboschi P, Galbiati G, Capelli C, Tomasoni L, Cesa S, and Brucato A

Published
2011

23. Tools to differentiate medium-high versus medium low-care intensity in an Internal Medecine Unit

Author

Mangia M, Casati M, Carobbio A, Caldara R, Morandi I, Cattaneo M, Senni M, Pagani G, Ghidoni S, Tiraboschi P, Galbiati G, Capelli C, Tomasoni L, Cesa S, Brucato A, Mangia, M, Casati, M, Carobbio, A, Caldara, R, Morandi, I, Cattaneo, M, Senni, M, Pagani, G, Ghidoni, S, Tiraboschi, P, Galbiati, G, Capelli, C, Tomasoni, L, Cesa, S, and Brucato, A

Subjects
Internal Medecine
Published
2011

24. Effectiveness of computerized decision support systems linked to electronic health records: A systematic review and meta-analysis

Author

Moja, L. Kwag, K.H. Lytras, T. Bertizzolo, L. Brandt, L. Pecoraro, V. Rigon, G. Vaona, A. Ruggiero, F. Mangia, M. Iorio, A. Kunnamo, I. Bonovas, S.

Abstract

We systematically reviewed randomized controlled trials (RCTs) assessing the effectiveness ofcomputerized decision support systems (CDSSs) featuring rule- or algorithm-based software integrated with electronic health records (EHRs) and evidence-based knowledge. We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Abstracts of Reviews of Effects. Information on system design, capabilities, acquisition, implementation context, and effects on mortality, morbidity, and economic outcomes were extracted. Twenty-eight RCTs were included. CDSS use did not affect mortality (16 trials, 37395 patients; 2282 deaths; risk ratio [RR] = 0.96; 95%confidence interval [CI] = 0.85, 1.08; I2 = 41%).Astatistically significant effect was evident in the prevention ofmorbidity, any disease (9 RCTs; 13868 patients;RR = 0.82; 95% CI = 0.68, 0.99; I2 = 64%), but selectiveoutcomereporting or publication bias cannot be excluded. We observed differences for costs and health service utilization, although these were often small in magnitude. Across clinical settings, new generation CDSSs integrated with EHRs do not affect mortality and might moderately improvemorbidity outcomes. © 2013 American Public Health Association.

Published
2014

29. Sistema di misura della qualità QuaVaTar: dal modello matematico all’applicazione nei servizi vaccinali del Lazio

Author

Maurici, M, Meleleo, C, Campolongo, A, D'Anna, C, Mangia, M, Sgricia, S, Serino, L, Paulon, L, Franco, E, and Ferrante, M

Subjects
Settore MED/42 - Igiene Generale e Applicata, humans italy preventive health services/standards quality indicators, health care* vaccination/standards, health care* vaccination/standards, humans italy preventive health services/standards quality indicators
Published
2010

50. A Pragmatic Look at Some Compressive Sensing Architectures With Saturation and Quantization

Author

Haboba, J., Mangia, M., Pareschi, F., Rovatti, R., and Setti, G.

Abstract

The paper aims to highlight relative strengths and weaknesses of some of the recently proposed architectures for hardware implementation of analog-to-information converters based on Compressive Sensing. To do so, the most common architectures are analyzed when saturation of some building blocks is taken into account, and when measurements are subject to quantization to produce a digital stream. Furthermore, the signal reconstruction is performed by established and novel algorithms (one based on linear programming and the other based on iterative guessing of the support of the target signal), as well as their specialization to the particular architecture producing the measurements. Performance is assessed both as the probability of correct support reconstruction and as the final reconstruction error. Our results help highlighting pros and cons of various architectures and giving quantitative answers to some typical design-oriented questions. Among these, we show: 1) that the (Random Modulation Pre-Integration) RMPI architecture and its recently proposed adjustments are probably the most versatile approach though not always the most economic to implement; 2) that when 1-bit quantization is sought, dynamically mixing quantization and integration in a randomized ΔΣ architecture help bringing the performance much closer to that of multi-bit approaches; 3) for each architecture, the trade-off between number of measurements and number of bits per measurements (given a fixed bit-budget); and 4) pros and cons of the use of Gaussian versus binary random variables for signal acquisition.

Published
2012
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