Παρακολούθηση
Carlo Ricciardi
Carlo Ricciardi
University of Naples "Federico II"
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα unina.it - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Prediction of Tumor Grade and Nodal Status in Oropharyngeal and Oral Cavity Squamous-cell Carcinoma Using a Radiomic Approach
V ROMEO, R CUOCOLO, C RICCIARDI, L UGGA, S COCOZZA, F VERDE, ...
Anticancer Research 40 (1), 271-280, 2020
912020
Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa
V Romeo, C Ricciardi, R Cuocolo, A Stanzione, F Verde, L Sarno, ...
Magnetic resonance imaging 64, 71-76, 2019
912019
Lean Six Sigma in healthcare: fast track surgery for patients undergoing prosthetic hip replacement surgery
G Improta, G Balato, C Ricciardi, MA Russo, I Santalucia, M Triassi, ...
The TQM Journal 31 (4), 526-540, 2019
872019
Linear discriminant analysis and principal component analysis to predict coronary artery disease
C Ricciardi, AS Valente, K Edmund, V Cantoni, R Green, A Fiorillo, ...
Health informatics journal 26 (3), 2181-2192, 2020
842020
Using gait analysis’ parameters to classify Parkinsonism: A data mining approach
C Ricciardi, M Amboni, C De Santis, G Improta, G Volpe, L Iuppariello, ...
Computer methods and programs in biomedicine 180, 105033, 2019
732019
Agile Six Sigma in Healthcare: Case Study at Santobono Pediatric Hospital
G Improta, G Guizzi, C Ricciardi, V Giordano, AM Ponsiglione, ...
International Journal of Environmental Research and Public Health 17 (3), 1052, 2020
712020
A Six Sigma DMAIC methodology as a support tool for Health Technology Assessment of two antibiotics
AM Ponsiglione, C Ricciardi, G Improta, GDA Orabona, A Sorrentino, ...
Mathematical Biosciences and Engineering 18 (4), 3469-3490, 2021
662021
Toward predicting motion sickness using virtual reality and a moving platform assessing brain, muscles, and heart signals
M Recenti, C Ricciardi, R Aubonnet, I Picone, D Jacob, HÁR Svansson, ...
Frontiers in Bioengineering and Biotechnology 9, 635661, 2021
622021
Fast track surgery for knee replacement surgery: a lean six sigma approach
C Ricciardi, G Balato, M Romano, I Santalucia, M Cesarelli, G Improta
The TQM Journal 32 (3), 461-474, 2020
612020
Machine learning to predict mortality after rehabilitation among patients with severe stroke
D Scrutinio, C Ricciardi, L Donisi, E Losavio, P Battista, P Guida, ...
Scientific reports 10 (1), 20127, 2020
592020
Assessing cardiovascular risks from a mid-thigh CT image: a tree-based machine learning approach using radiodensitometric distributions
C Ricciardi, KJ Edmunds, M Recenti, S Sigurdsson, V Gudnason, ...
Scientific reports 10 (1), 2863, 2020
572020
The application of six sigma to reduce the pre-operative length of hospital stay at the hospital Antonio Cardarelli
G Improta, C Ricciardi, A Borrelli, A D’alessandro, C Verdoliva, ...
International Journal of Lean Six Sigma 11 (3), 555-576, 2020
552020
Classifying the type of delivery from cardiotocographic signals: A machine learning approach
C Ricciardi, G Improta, F Amato, G Cesarelli, M Romano
Computer Methods and Programs in Biomedicine 196, 105712, 2020
522020
Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center
C Ricciardi, V Cantoni, G Improta, L Iuppariello, I Latessa, M Cesarelli, ...
Computer Methods and Programs in Biomedicine 189, 105343, 2020
492020
Efficacy of machine learning in predicting the kind of delivery by cardiotocography
G Improta, C Ricciardi, F Amato, G D’Addio, M Cesarelli, M Romano
XV Mediterranean Conference on Medical and Biological Engineering and …, 2020
472020
Implementation and validation of a new method to model voluntary departures from emergency departments
C Ricciardi, AM Ponsiglione, G Converso, I Santalucia, M Triassi, ...
Mathematical Biosciences and Engineering 18 (1), 253-273, 2021
462021
Lean Six Sigma approach to reduce LOS through a diagnostic-therapeutic-assistance path at AORNA Cardarelli
C Ricciardi, A Fiorillo, AS Valente, A Borrelli, C Verdoliva, M Triassi, ...
The TQM Journal 31 (5), 657-672, 2019
462019
Distinguishing functional from non-functional pituitary macroadenomas with a machine learning analysis
R Carlo, C Renato, C Giuseppe, U Lorenzo, I Giovanni, S Domenico, ...
XV Mediterranean Conference on Medical and Biological Engineering and …, 2020
432020
Head-to-head comparison of diagnostic accuracy of stress-only myocardial perfusion imaging with conventional and cadmium-zinc telluride single-photon emission computed …
T Mannarino, R Assante, C Ricciardi, E Zampella, C Nappi, V Gaudieri, ...
Journal of Nuclear Cardiology 28 (3), 888-897, 2021
412021
MRI radiomics for the prediction of fuhrman grade in clear cell renal cell carcinoma: A machine learning exploratory study
A Stanzione, C Ricciardi, R Cuocolo, V Romeo, J Petrone, M Sarnataro, ...
Journal of digital imaging 33, 879-887, 2020
412020
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