Multicriteria Decision Analysis and Conversational Agents for children with autism

Conversational agents has emerged as a new means of communication and social skills training for children with autism spectrum disorders (ASD), encouraging academia, industry, and therapeutic centres to investigate it further. This paper aims to develop a methodological framework based on Multicriteria Decision Analysis (MCDA) to identify the best , i.e. the most effective, conversational agent for this target group. To our knowledge, it is the first time the MCDA is applied to this specific domain. Our contribution is twofold: i) our method is an extension of traditional MCDA and we exemplify how to apply it to decision making process related to CA for person with autism: a methodological result that would be adopted for a broader range of technologies for person with impairments similar to ASD; ii) our results, based on the above mentioned method, suggest that Embodied Conversational Agent is most appropriate conversational technology to interact with children with ASD

Emoty: an Emotionally Sensitive Conversational Agent for People with Neurodevelopmental Disorders

Our research aims at exploiting the advances in conversational technology to support people with Neurodevelopmental Disorder (NDD). NDD is a group of conditions that are characterized by severe deficits in the cognitive, emotional and motor areas and produce severe impairments in communication and social functioning. This paper presents the design, technology and exploratory evaluation of Emoty, a spoken Conversational Agent (CA) created specifically for individuals with NDD. The goal of Emoty is to help these persons enhancing communication abilities related to emotional recognition and expression, which are fundamental in any form of human relationship. The system exploits emotion detection capabilities based on the semantics of the speech by calling the IBM Watson Tone Analyzer API and from the harmonic features of the audio thanks to an “all-of-us” Deep Learning model. The design and evaluation of Emoty are based on the close collaboration among computer engineers and specialists in NDD (psychologists, neurological doctors, educators)

Small-Coupling Dynamic Cavity: a Bayesian mean-field framework for epidemic inference

A novel generalized mean field approximation, called the Small-Coupling Dynamic Cavity (SCDC) method, for Bayesian epidemic inference and risk assessment is presented. The method is developed within a fully Bayesian framework and accounts for non-causal effects generated by the presence of observations. It is based on a graphical model representation of the epidemic stochastic process and utilizes dynamic cavity equations to derive a set of self-consistent equations for probability marginals defined on the edges of the contact graph. By performing a small-coupling expansion, a pair of time-dependent cavity messages is obtained, which capture the probability of individual infection and the conditioning power of observations. In its efficient formulation, the computational cost per iteration of the SCDC algorithm is linear in the duration of the epidemic dynamics and in the number of contacts. The SCDC method is derived for the Susceptible-Infected (SI) model and straightforwardly applicable to other Markovian epidemic processes, including recurrent ones. It exhibits high accuracy in assessing individual risk on par with Belief Propagation techniques and outperforming heuristic methods based on individual-based mean-field approximations. Although convergence issues may arise due to long-range correlations in contact graphs, the estimated marginal probabilities remain sufficiently accurate for reliable risk estimation. Future work includes extending the method to non-Markovian recurrent epidemic models and investigating the role of second-order terms in the small coupling expansion of the observation-reweighted Dynamic Cavity equations.Comment: 29 pages, 7 figures (including appendices

Perioperative latex allergy.

The prevalence of latex allergy varies greatly depending on the population studied and the methods used to detect sensitization. Subjects considered to be at high risk for latex allergy are rubber industry workers, children with spina bifida and urological abnormalities, children undergoing multiple surgical procedures and with urinary catheterization, health care workers and people with food allergy (latex fruit syndrome). In this paper we report a review of latex proteins, the symptoms of latex allergy, diagnosis and management in subjects with latex allergy

Early ultrasonographic finding of septic thrombophlebitis is the main indicator of central venous catheter removal to reduce infection-related mortality in neutropenic patients with bloodstream infection.

BACKGROUND: Septic thrombophlebitis increases patient morbidity and mortality following metastatic infections, pulmonary emboli, and/or septic shock. Central venous catheter (CVC) removal for occult septic thrombophlebitis challenges current strategy in neutropenic patients. PATIENTS AND METHODS: We prospectively evaluated infection-related mortality in 100 acute leukemia patients, with CVC-related bloodstream infection (CRBSI) after chemotherapy, who systematically underwent ultrasonography to identify the need for catheter removal. Their infection-related mortality was compared with that of a historical cohort of 100 acute leukemia patients, with CRBSI after chemotherapy, managed with a clinically driven strategy. Appropriate antimicrobial therapy was administered in all patients analyzed. RESULTS: In the prospective series, 30/100 patients required catheter removal for ultrasonography-detected septic thrombophlebitis after 1 median day from BSI onset; 70/100 patients without septic thrombophlebitis retained their CVC. In the historical cohort, 60/100 patients removed the catheter (persistent fever, 40 patients; persistent BSI, 10 patients; or clinically manifest septic thrombophlebitis, 10 patients) after 8 median days from BSI onset; 40/100 patients retained the CVC because they had not clinical findings of complicated infection. At 30 days median follow-up, one patient died for infection in the ultrasonography-assisted group versus 17 patients in the historical cohort (P < 0.01). With the ultrasonography-driven strategy, early septic thrombophlebitis detection and prompt CVC removal decrease infection-related mortality, whereas clinically driven strategy leads to inappropriate number, reasons, and timeliness of CVC removal. CONCLUSION: Ultrasonography is an easy imaging diagnostic tool enabling effective and safe management of patients with acute leukemia and CRBSI