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View article: Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes
Adopting machine learning to predict breast cancer patients adherence with lifestyle recommendations and quality of life outcomes Open
Introduction Healthy lifestyle behaviors and improved quality of life have been associated with better prognoses in breast cancer survivors. However, sustaining behavioral changes remains challenging; therefore, identifying effective compo…
View article: Price variations in food products: A time series dataset for analysis across regions in Italian supermarkets
Price variations in food products: A time series dataset for analysis across regions in Italian supermarkets Open
This study presents a comprehensive dataset on retail food prices, specifically covering meat, fruit, and vegetable products, collected through automated web scraping techniques from online supermarket platforms across multiple Italian reg…
View article: A Prediction of Drug Transport, Distribution, and Absorption Through a Multicompartmental Physiologically Based Pharmacokinetic Model
A Prediction of Drug Transport, Distribution, and Absorption Through a Multicompartmental Physiologically Based Pharmacokinetic Model Open
View article: Cross-lingual distillation for domain knowledge transfer with sentence transformers
Cross-lingual distillation for domain knowledge transfer with sentence transformers Open
View article: From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain
From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain Open
In this study, we delve into the adaptation and effectiveness of Transformer-based, pre-trained Large Language Models (LLMs) within the biomedical domain, a field that poses unique challenges due to its complexity and the specialized natur…
View article: Quantifying Treatments as Usual and with Technologies in Neurorehabilitation of Individuals with Spinal Cord Injury
Quantifying Treatments as Usual and with Technologies in Neurorehabilitation of Individuals with Spinal Cord Injury Open
Several technologies have been introduced into neurorehabilitation programs to enhance traditional treatment of individuals with Spinal Cord Injury (SCI). Their effectiveness has been widely investigated, but their adoption has not been pr…
View article: Quantifying Treatments as Usual and with Technologies in Neu-Rorehabilitation of Individuals with Spinal Cord Injury
Quantifying Treatments as Usual and with Technologies in Neu-Rorehabilitation of Individuals with Spinal Cord Injury Open
Several technologies have been introduced into neurorehabilitation programs to en-hance traditional treatment of individuals with Spinal Cord Injury (SCI). Their effec-tiveness has been widely investigated but their adoption has not been p…
View article: Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks
Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks Open
The investigation focused on the prediction of stock prices amidst significant macroeconomic and geopolitical volatility, particularly targeting North-American and European banks in 2022 — a year marked by intense economic shocks, includin…
View article: From Pre-Training to Fine-Tuning: An In-Depth Analysis of Large Language Models in the Biomedical Domain
From Pre-Training to Fine-Tuning: An In-Depth Analysis of Large Language Models in the Biomedical Domain Open
View article: On the instability of further pre-training: Does a single sentence matter to BERT?
On the instability of further pre-training: Does a single sentence matter to BERT? Open
We observe a remarkable instability in BERT-like models: minimal changes in the internal representations of BERT, as induced by one-step further pre-training with even a single sentence, can noticeably change the behaviour of subsequently …
View article: A text style transfer system for reducing the physician–patient expertise gap: An analysis with automatic and human evaluations
A text style transfer system for reducing the physician–patient expertise gap: An analysis with automatic and human evaluations Open
View article: Advancing ECG Biometrics Through Vision Transformers: A Confidence-Driven Approach
Advancing ECG Biometrics Through Vision Transformers: A Confidence-Driven Approach Open
Over the past two decades, Electrocardiography (ECG) has gained significant momentum in the field of biometrics, offering a compelling alternative for person identity recognition based on physical/biological traits. Its inherent difficulty…
View article: Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes
Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes Open
Type 1 diabetes mellitus (T1D) is a chronic disease that, if not treated properly, can lead to serious complications. We propose a layered meta-learning approach based on multi-expert systems to predict adverse events in T1D. The base lear…
View article: Natural language processing in low back pain and spine diseases: A systematic review
Natural language processing in low back pain and spine diseases: A systematic review Open
Natural Language Processing (NLP) is a discipline at the intersection between Computer Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human-interpretable (natural) language text. In recent years, it…
View article: Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review
Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review Open
Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary, individualized approach consisting of several outcome m…
View article: Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers
Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers Open
Ovarian cancer is one of the most common gynecological malignancies, ranking third after cervical and uterine cancer. High-grade serous ovarian cancer (HGSOC) is one of the most aggressive subtype, and the late onset of its symptoms leads …
View article: Explainable Sentiment Analysis: A Hierarchical Transformer-Based Extractive Summarization Approach
Explainable Sentiment Analysis: A Hierarchical Transformer-Based Extractive Summarization Approach Open
In recent years, the explainable artificial intelligence (XAI) paradigm is gaining wide research interest. The natural language processing (NLP) community is also approaching the shift of paradigm: building a suite of models that provide a…
View article: A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare
A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare Open
In this paper, we present our approach to the task of binary sentiment classification for Italian reviews in healthcare domain. We first collected a new dataset for such domain. Then, we compared the results obtained by two different syste…