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Journals Studies in Health Technology a...

Studies in Health Technology and Informatics

https://read.qxmd.com/read/38785029/education-in-health-informatics-perspectives-from-the-italian-society-for-biomedical-informatics-sibim
#1
JOURNAL ARTICLE
Lucia Sacchi, Gabriella Balestra, Pierangelo Veltri, Mauro Giacomini
The evolution of socio-technological habits together with the widespread demand of post-acute and chronic treatments outside hospital boundaries drove the increased demand of medical informatics experts to develop tools for and support healthcare professionals. The recent COVID-19 pandemic further highlighted the need of physicians able to manage diseases virtually and remotely. Moreover, healthcare professionals need to access to innovative techniques and procedures to manage biomedical data, cloud-based communication, and data sharing procedures, often connected to innovative devices to support an effective precision in the health treatments...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785028/an-ensemble-architecture-for-melanoma-classification
#2
JOURNAL ARTICLE
Tommaso Ruga, Gaia Musacchio, Danilo Maurmo
Melanoma represents an extremely aggressive type of skin lesion. Despite its high mortality rate, when detected in its initial stage, the projected five-year survival rate is notably high. The advancement of Artificial Intelligence in recent years has facilitated the creation of diverse solutions aimed at assisting medical diagnosis. This proposal presents an architecture for melanoma classification.
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785027/sustainable-agrochemical-exploitation-of-ligurian-aromatic-plant-ecotypes
#3
JOURNAL ARTICLE
Valeria Iobbi, Valentina Parisi, Anna Paola Lanteri, Norbert Maggi, Giuliana Drava, Giovanni Minuto, Nunziatina de Tommasi, Mauro Giacomini, Angela Bisio
The characterization of local improved varieties as well as the reduction of synthetic chemical fertilizers are sustainable approaches in the vision of a new precision Farming. Aim of our study was to improve the geographical characterization of local ecotypes and to identify peculiar features of new crops in terms of bioactive compounds. NMR and LC-MS metabolite profiling approaches followed by multivariate data analysis were applied to characterize local rosemary and garlic ecotypes. With the aim of applying for a protected designation of origin, orthogonal partial least squares discriminant analysis (OPLS-DA) was used to identify representative sensory quality indicators for Vessalico garlic and rosemary "Eretto Liguria" local ecotypes, Variable Influence on Projections (VIP) values of OPLS-DA indicated six metabolites as quality indicators for Vessalico garlic and sixteen metabolites as quality indicators for rosemary "Eretto Liguria"...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785026/stakeholder-perception-s-of-cybersecurity-for-welfare-technology-and-remote-care-devices
#4
JOURNAL ARTICLE
Alvhild Skjelvik
In healthcare, there are various stakeholders who hold different understandings of technology. Cybersecurity risks may also be something these stakeholder have varying perceptions of. This papers explores how cybersecurity risks are understood by two key stakeholder groups in the Norwegian healthcare sector related to welfare technology and personal healthcare devices. Two stakeholder groups (healthcare workers and technology vendors) have been interviewed to gather data on this topic. Key findings highlight that there are differences in how risks are perceived, both in terms of likelihood and in consequence...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785025/how-patients-feel-with-telemedicine-devices-as-an-enabling-factor-for-personalised-medicine-a-preliminary-study
#5
JOURNAL ARTICLE
Fabiola Boccuto, Patrizia Vizza, Salvatore De Rosa, Giuseppe Tradigo, Pierangelo Veltri, Daniele Torella, Pietro Hiram Guzzi
Telemonitoring tools have become essential in today's healthcare, representing fundamental resources for chronic disease home management supporting early detection of clinical worsening with great reduction of hospitalization costs. Therefore the investigation of the patient compliance is a key enabling point. We aim to assess how patients with chronic coronary syndromes evaluate a telemonitoring device meant for ongoing health monitoring. Twenty-six patients used the device for a week and subsequently filled out a well-designed questionnaire...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785024/development-of-health-promoting-edible-cricket-products-by-using-sensory-evaluation-techniques
#6
JOURNAL ARTICLE
Nitchara Toontom, Chaloemporn Namyotha, Kasama Wongprachum, Tarinee Nilkamheang, Kukiat Tudpor
BACKGROUND: In the fields of food science and technology, sensory evaluation is extensively studied to assess personal perception and acceptability. However, studies on Thai consumers' personal perceptions of and acceptability of food products containing crickets have not been conducted. OBJECTIVES: The overall goal of this study was to find out how well-liked two food products containing house crickets were by Thai customers in good health regarding their sensory qualities...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785023/personalized-detection-of-motion-artifacts-for-telemonitoring-applications
#7
JOURNAL ARTICLE
Noemi Giordano, Samanta Rosati, Daniele Fortunato, Marco Knaflitz, Gabriella Balestra
Among its main benefits, telemonitoring enables personalized management of chronic diseases by means of biomarkers extracted from signals. In these applications, a thorough quality assessment is required to ensure the reliability of the monitored parameters. Motion artifacts are a common problem in recordings with wearable devices. In this work, we propose a fully automated and personalized method to detect motion artifacts in multimodal recordings devoted to the monitoring of the Cardiac Time Intervals (CTIs)...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785022/a-novel-algorithm-application-in-vocal-signals-processing
#8
JOURNAL ARTICLE
Giuseppe Timpano, Patrizia Vizza
This study proposes an innovative application of the Goertzel Algorithm (GA) for the processing of vocal signals in dysphonia evaluation. Compared to the Fast Fourier Transform (FFT) representing the gold standard analysis technique in this context, GA demonstrates higher efficiency in terms of processing time and memory usage, also showing an improved discrimination between healthy and pathological conditions. This suggests that GA-based approaches could enhance the reliability and efficiency of vocal signal analysis, thus supporting physicians in dysphonia research and clinical monitoring...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785021/e-health-security-privacy-and-ethics-requirements-from-a-national-perspective-in-i-r-iran
#9
JOURNAL ARTICLE
Somayeh Abedian, Hossein Riazi
This paper explores the security, privacy, and ethical implications of e-health data in Iran's healthcare network. A framework is proposed to ensure security and privacy in electronic health information processing across various institutions. The framework addresses aspects such as software/hardware, communication networks, patient safety, privacy, confidentiality, online health service regulations, commercial and judicial exploitation, and education/research. The study categorizes these requirements into seven main categories to safeguard health-oriented service recipients' security and privacy...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785020/development-and-implementation-of-an-integrated-standard-e-prescription-model-in-alignment-with-iranian-national-ehr
#10
JOURNAL ARTICLE
Somayeh Abedian, Amin Biglarkhani, Ali Azami Ghadikolaei, Mohsen Barahmand
The implementation of an Electronic Prescribing (EP) system offers numerous advantages in enhancing the efficiency of prescribing practices. To ensure successful implementation, a comprehensive understanding of the workflow in paper-based prescribing is crucial. In Iran, the Ministry of Health, and Medical Education (MOHME) has been actively involved in developing an EP system since 2011. The pilot results within MOHME have garnered significant support from all basic insurance organizations, primarily due to the importance of addressing financial considerations...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785019/evaluating-medibetter-a-mobile-application-for-health-monitoring-and-medication-management
#11
JOURNAL ARTICLE
Bian Yang, M Ali Fauzi, Galih Wasis Wicaksono
This study introduces MediBetter, a mobile application designed to empower patients undergoing routine medication in health monitoring and medication adherence. It is a mobile application designed to serve as a supportive health technology for patients to monitor their health status and manage their routine medication. It offers three main features: text-based daily self health report, AI-based summarization of the health report, and medication taking reminder. To evaluate the quality of generated summaries generated by both the user and AI (ChatGPT), we conducted human expert evaluation process...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785018/unraveling-endometrial-cancer-survival-predictors-through-advanced-machine-learning-techniques
#12
JOURNAL ARTICLE
Georgy Kopanitsa, Oleg Metsker
This study explores endometrial cancer (EC) within the broader context of oncogynecology, focusing on 3,845 EC patients at the Almazov National Research Center. The research analyzes clinical data, employing machine learning techniques like random forest regression and decision tree analysis. Key findings include age-dependent impacts on EC outcomes, unexpected correlations between dietary habits and recurrence risk (e.g., higher risk for vegans), and intriguing associations like soft drink consumption influencing relapse...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785017/enhancing-thrombophilia-risk-prediction-through-ai-based-methodologies
#13
JOURNAL ARTICLE
Daniela Mazzuca, Francesco Zinno, Agostino Forestiero
Thrombophilia, a predisposition to thrombosis, poses significant diagnostic challenges due to its multi-factorial nature, encompassing genetic and acquired factors. Current diagnostic paradigms, primarily relying on a combination of clinical assessment and targeted laboratory tests, often fail to capture the complex interplay of factors contributing to thrombophilia risk. This paper proposes an innovative artificial intelligence (AI)-based methodology aimed to enhance the prediction of thrombophilia risk. The designed multidimensional risk assessment model integrates and elaborates through AI a comprehensive collection of patient data types, including genetic markers, clinical parameters, patient history, and lifestyle factors, in order to obtain advanced and personalized explainable diagnoses...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785016/ai-approach-for-enhanced-thalassemia-diagnosis-using-blood-smear-images
#14
JOURNAL ARTICLE
Daniela Mazzuca, Fulvio Bergantin, Davide Macrì, Francesco Zinno, Agostino Forestiero
This paper aims to propose an approach leveraging Artificial Intelligence (AI) to diagnose thalassemia through medical imaging. The idea is to employ a U-net neural network architecture for precise erythrocyte morphology detection and classification in thalassemia diagnosis. This accomplishment was realized by developing and assessing a supervised semantic segmentation model of blood smear images, coupled with the deployment of various data engineering techniques. This methodology enables new applications in tailored medical interventions and contributes to the evolution of AI within precision healthcare, establishing new benchmarks in personalized treatment planning and disease management...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785015/clustering-pseudo-time-series-exploring-trajectories-in-the-ageing-process
#15
JOURNAL ARTICLE
Puccio Barbara, Tucker Allan, Veltri Pierangelo
Investigating the natural ageing process typically involves the use of extensive longitudinal datasets that can capture changes associated with the progression of ageing. However, they are often resource-intensive and time-consuming to conduct. Cross-sectional data, on the other hand, provides a snapshot of a population at many different ages and can capture many disease processes but do not incorporate the time dimension. Pseudo time series can be reconstructed from cross sectional data, with the aim to explore dynamic processes (such as the ageing process)...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785014/continuous-markov-models-for-analyzing-the-effect-of-environmental-personal-exposure-on-multiple-sclerosis-progression
#16
JOURNAL ARTICLE
Mahin Vazifehdan, Pietro Bosoni, Eleonora Tavazzi, Riccardo Bellazzi, Roberto Bergamaschi, Arianna Dagliati
Multiple sclerosis (MS) is an inflammatory autoimmune demyelinating disorder of the central nervous system, leading to progressive functional impairments. Predicting disease progression with a probabilistic and time-dependent approach might help suggest interventions for a better management of the disease. Recently, there has been increasing focus on the impact of air pollutants as environmental factors influencing disease progression. This study employs a Continuous-Time Markov Model (CMM) to explore the impact of air pollution measurements on MS progression using longitudinal data from MS patients in Italy between 2013 and 2022...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785013/trustworthy-precision-medicine-an-interpretable-approach-to-detecting-anomalous-behavior-of-iot-devices
#17
JOURNAL ARTICLE
Gianni Costa, Agostino Forestiero, Davide Macrì, Riccardo Ortale
The growing integration of Internet of Things (IoT) technology within the healthcare sector has revolutionized healthcare delivery, enabling advanced personalized care and precise treatments. However, this raises significant challenges, demanding robust, intelligible, and effective monitoring mechanisms. We propose an interpretable machine-learning approach to the trustworthy and effective detection of behavioral anomalies within the realm of medical IoT. The discovered anomalies serve as indicators of potential system failures and security threats...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785012/glstm-on-using-lstm-for-glucose-level-prediction
#18
JOURNAL ARTICLE
Muhammad Kashif, Sergio Flesca, Pierangelo Veltri
The Prediabetes impacts one in every three individuals, with a 10% annual probability of transitioning to type 2 diabetes without lifestyle changes or medical interventions. It's crucial to manage glycemic health to deter the progression to type 2 diabetes. In the United States, 13% of individuals (18 years of age and older) have diabetes, while 34.5% meet the criteria for prediabetes. Diabetes mellitus and prediabetes are more common in older persons. Currently, nevertheless, there aren't many noninvasive, commercially accessible methods for tracking glycemic status to help with prediabetes self-management...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785011/exploring-negated-entites-for-named-entity-recognition-in-italian-lung-cancer-clinical-reports
#19
JOURNAL ARTICLE
Domenico Paolo, Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia
This paper explores the potential of leveraging electronic health records (EHRs) for personalized health research through the application of artificial intelligence (AI) techniques, specifically Named Entity Recognition (NER). By extracting crucial patient information from clinical texts, including diagnoses, medications, symptoms, and lab tests, AI facilitates the rapid identification of relevant data, paving the way for future care paradigms. The study focuses on Non-small cell lung cancer (NSCLC) in Italian clinical notes, introducing a novel set of 29 clinical entities that include both presence or absence (negation) of relevant information associated with NSCLC...
May 23, 2024: Studies in Health Technology and Informatics
https://read.qxmd.com/read/38785010/development-of-a-method-for-automatic-matching-of-unstructured-medical-data-to-icd-10-codes
#20
JOURNAL ARTICLE
Bogdan Volkov, Georgy Kopanitsa
Inconsistent disease coding standards in medicine create hurdles in data exchange and analysis. This paper proposes a machine learning system to address this challenge. The system automatically matches unstructured medical text (doctor notes, complaints) to ICD-10 codes. It leverages a unique architecture featuring a training layer for model development and a knowledge base that captures relationships between symptoms and diseases. Experiments using data from a large medical research center demonstrated the system's effectiveness in disease classification prediction...
May 23, 2024: Studies in Health Technology and Informatics
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