Ricerc@Sapienza

When functional data are observed over a domain that is subject-specific, most of the techniques for functional data analysis are invalidated. Recently, new methods able to handle this situation were developed and in particular we focus on well-known functional PCA. With the aim of classifying the Aneurisk65 dataset, we apply a few possible methods and we show that carrying out the analysis over the full domain, where at least one of the functional data is observed, may not be the optimal choice.

Purpose: The Italian consensus to classify thyroid cytology has provided a standardized reporting scheme, including the subdivision of indeterminate for malignancy TIR-3 category into TIR-3A (low-risk) and TIR-3B (high-risk). We aimed to present our experience on this subclassification by evaluating risks of malignancy and the validity in sorting nodules with dissimilar risks. Another aim was to compare our performance against the Bethesda system.

The early wound healing score (EHS) was introduced to assess early wound healing of periodontal soft tissues after surgical incision. The purpose of this study is to evaluate the intra- and inter-examiner reliability of the EHS. Six examiners with different levels of training and clinical focus were enrolled. Each examiner was trained on the use of the EHS before starting the study. Thereafter, 63 photographs of three different types of surgical incisions taken at day 1, 3 or 7 post-operatively were independently evaluated according to the proposed assessment method.

Various classification systems have been proposed to describe furcation lesions and Glickman's classification for many years seems to have been the most widely utilized in the sole clinical diagnosis with no reference to the prognostic value of the lesion itself.

Aim: The objective of this study was to evaluate consistency and accuracy of the periodontitis staging and grading classification system. Methods: Thirty participants (10 periodontal experts, 10 general dentists and 10 undergraduate students) and a gold-standard examiner were asked to classify 25 fully documented periodontitis cases twice. Fleiss kappa was used to estimate consistency across examiners. Intraclass correlation coefficient (ICC) was used to calculate consistency across time.

A systematic review of the literature regarding drug packaging methods in body packing and materials used is presented, with the aim (a) to summarize data regarding the packaging methods adopted by drug trafficking organizations, (b) to support forensic pathologists and police forces to classify and describe drug packages, (c) to propose a new classification for drug packaging techniques, and (d) to better clarify the impact of packaging methods on radiological detectability.Packaging methods have been described in 2981 cases, permitting us to summarize the different materials used and to

In this paper we develop statistical algorithms to infer possible cardiac pathologies, based on data collected from 24 h Holter recording over a sample of 2829 labelled patients; labels highlight whether a patient is suffering from cardiac pathologies. In the first part of the work we analyze statistically the heart-beat series associated to each patient and we work them out to get a coarse-grained description of heart variability in terms of 49 markers well established in the reference community.

Interpretability, accuracy and a solid neurophysiological basis can be considered as the main requirements for the classification model to monitor motor imagery tasks in post-stroke motor recovery paradigms supported by the brain-computer interface technology. This study aimed at comparing the accuracy performance of different classification approaches applied on a dataset of 15 stroke patients. We also explored how the variation in the dimensionality of the feature domain would influence the different classifier performance.

In parallel with the vast medical research on clinical treatment of COVID-19, an important action to have the disease completely under control is to carefully monitor the patients. What the detection of COVID-19 relies on most is the viral tests, however, the study of X-rays is helpful due to the ease of availability. There are various studies that employ Deep Learning (DL) paradigms, aiming at reinforcing the radiography-based recognition of lung infection by COVID-19.

Purpose: Reinke’s edema is a benign laryngeal condition characterized by swelling of the superficial layer of the lamina propria of the vocal fold. The aim of this work is to propose a new classification of Reinke’s edema based on its morphological characteristics. Methods: Our classification is a synthesis of the classifications available in the literature and is based on morphological characteristics such as the involvement of one or two vocal folds and the presence or absence of polypoid lesions regardless of the observation method.