| 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 | 113 | 2020 |
| 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 | 108 | 2020 |
| 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 | 106 | 2019 |
| 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 | 97 | 2019 |
| 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 | 88 | 2021 |
| 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 | 87 | 2020 |
| 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 | 81 | 2019 |
| 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 | 74 | 2021 |
| 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 | 70 | 2020 |
| 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 | 66 | 2020 |
| 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 | 63 | 2020 |
| 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 | 62 | 2020 |
| Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature L Donisi, G Cesarelli, N Pisani, AM Ponsiglione, C Ricciardi, ... Diagnostics 12 (12), 3048, 2022 | 60 | 2022 |
| Machine Learning Approaches in Parkinson’s Disease A Landolfi, C Ricciardi, L Donisi, G Cesarelli, J Troisi, C Vitale, P Barone, ... Current Medicinal Chemistry 28 (32), 6548-6568, 2021 | 60 | 2021 |
| 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 | 60 | 2020 |
| 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 | 52 | 2020 |
| Machine learning can detect the presence of Mild cognitive impairment in patients affected by Parkinson’s Disease C Ricciardi, M Amboni, C De Santis, G Ricciardelli, G Improta, G D’Addio, ... 2020 IEEE International Symposium on Medical Measurements and Applications …, 2020 | 51 | 2020 |
| 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 | 48 | 2020 |
| Classifying Different Stages of Parkinson’s Disease Through Random Forests C Ricciardi, M Amboni, C De Santis, G Ricciardelli, G Improta, ... Mediterranean Conference on Medical and Biological Engineering and Computing …, 2019 | 48 | 2019 |
| 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 | 47 | 2019 |
Giovanni ImprotaRTD B (SSD ING-INF/06) - Dip. di Sanità Pubblica - Università degli Studi di Napoli "Federico II"Adresse e-mail validée de unina.it