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The Perceptions of People with Dementia and Key Stakeholders Regarding the Use and Impact of the Social Robot MARIO.

International journal of environmental research and public health Nov 20, 2020
People with dementia often experience loneliness and social isolation. This can result in increased cognitive decline which, in turn, has a negative impact on quality of life. This paper explores the use of the social robot, MARIO, with older people ...
Italy Caregivers Ireland Humans Aged Aged, 80 and over Quality of Life Social Support Dementia Robotics
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Robots Are Not All the Same: Young Adults' Expectations, Attitudes, and Mental Attribution to Two Humanoid Social Robots.

Cyberpsychology, behavior and social networking Nov 12, 2020
The human physical resemblance of humanoid social robots (HRSs) has proven to be particularly effective in interactions with humans in different contexts. In particular, two main factors affect the quality of human-robot interaction, the physical app...
Italy Motivation Attitude Social Interaction Social Perception Humans Young Adult Students Robotics
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Machine learning in predicting respiratory failure in patients with COVID-19 pneumonia-Challenges, strengths, and opportunities in a global health emergency.

PloS one Nov 12, 2020
AIMS: The aim of this study was to estimate a 48 hour prediction of moderate to severe respiratory failure, requiring mechanical ventilation, in hospitalized patients with COVID-19 pneumonia.
Male Pneumonia, Viral Prospective Studies Humans Italy Middle Aged Machine Learning Computer Simulation Coronavirus Infections Respiration, Artificial Pandemics Female Respiratory Insufficiency Models, Statistical COVID-19 SARS-CoV-2 Blood Gas Analysis Aged Betacoronavirus
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Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction.

Sensors (Basel, Switzerland) Nov 9, 2020
Knowledge of phenological events and their variability can help to determine final yield, plan management approach, tackle climate change, and model crop development. THe timing of phenological stages and phases is known to be highly correlated with ...
Temperature Italy Weather Seasons Olea Machine Learning Climate Change
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Violence detection explanation via semantic roles embeddings.

BMC medical informatics and decision making Oct 15, 2020
BACKGROUND: Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violenc...
Child Natural Language Processing Italy Semantics Violence Humans Neural Networks, Computer Female Aged
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How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.

International journal of environmental research and public health Oct 4, 2020
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predi...
Algorithms Communicable Disease Control Betacoronavirus SARS-CoV-2 Humans Pneumonia, Viral Italy Machine Learning Patient Compliance Pandemics Coronavirus Infections COVID-19
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Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.

International journal of environmental research and public health Sep 22, 2020
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what...
Pneumonia, Viral Humans Pandemics COVID-19 Deep Learning Italy Coronavirus Infections Datasets as Topic Radiography, Thoracic
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Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients.

European radiology Sep 18, 2020
OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19.
Neurodegenerative Diseases Coronary Artery Disease Sex Factors Proportional Hazards Models Radiography, Thoracic Age Factors Radiography Emergency Service, Hospital Italy Mortality SARS-CoV-2 Hospitalization Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Comorbidity Severity of Illness Index Deep Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Intensive Care Units Female Humans Artificial Intelligence COVID-19
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Machine learning models predicting multidrug resistant urinary tract infections using "DsaaS".

BMC bioinformatics Aug 21, 2020
BACKGROUND: The scope of this work is to build a Machine Learning model able to predict patients risk to contract a multidrug resistant urinary tract infection (MDR UTI) after hospitalization. To achieve this goal, we used different popular Machine L...
Algorithms Female Aged Male Middle Aged Urinary Tract Infections Humans Models, Biological Neural Networks, Computer Machine Learning Drug Resistance, Multiple, Bacterial ROC Curve Support Vector Machine Area Under Curve Italy
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Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.

The European respiratory journal Aug 20, 2020
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resources and caused significant mortality.
Risk Assessment Severity of Illness Index China Cohort Studies Hospital Mortality ROC Curve Decision Support Systems, Clinical Age Factors Predictive Value of Tests Hospitalization Aged Adult Clinical Laboratory Techniques Male COVID-19 Testing Pneumonia, Viral Middle Aged Sex Factors Humans Triage COVID-19 Survival Analysis Machine Learning Area Under Curve Pandemics Retrospective Studies Internationality Italy Female Belgium Coronavirus Infections Reproducibility of Results
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