Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study by Ali Amirahmadi, Farzaneh Etminani, Jonas Björk, Olle Melander, Mattias Ohlsson

“…ConclusionsThese findings demonstrate the effectiveness of integrating temporal ordering objectives into MLM-pretrained models, enabling deeper insights into the complex temporal relationships inherent in EHR data. Attention analysis further highlights TOO-BERT’s capability to capture and represent sophisticated structural patterns within patient trajectories, offering a more nuanced understanding of disease progression.…”
Get full text

Performance of contrast-enhanced ultrasound liver imaging reporting and data system for differentiation of patients at risk of hepatocellular carcinoma and liver metastasis by Weiqin Huang, Ruoxuan Lin, Zhongshi Du, Zhougui Wu, Xiaohui Ke, Lina Tang

“…Two radiologists independently reviewed the CEUS features and liver imaging reporting and data system (LI-RADS) categories of the lesions, and based on their consensus, we calculated the diagnostic performance, including the area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of the CEUS-LI-RADS criteria.Results The sensitivity, specificity, and accuracy of CEUS LI-RADS category 5 (CEUS-LR-5) for predicting HCC were 49.1% [95% confidence interval (CI)) 39.3–58.9], 97.1% (95% CI 92.7–99.2), and 76%, respectively, whereas the corresponding values for LI-RADS category M (LR-M) for diagnosing MLT were 89.1% (95%CI 82.7-93.8), 72.2% (95%CI 62.8-80.4), and 81.7%, respectively. …”
Get full text

Machine learning-powered data cleaning for LEGEND: a semi-supervised approach using affinity propagation and support vector machines by E León, A Li, M A Bahena Schott, B Bos, M Busch, J R Chapman, G L Duran, J Gruszko, R Henning, E L Martin, J F Wilkerson

Get full text

Parallel complex event processing system based on S4 framework by Hao CHEN, Yu LI, Song-lin HU, Ying LIANG

Get full text

Parallel complex event processing system based on S4 framework by Hao CHEN, Yu LI, Song-lin HU, Ying LIANG

Get full text

A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections by Yemeng Yang, Kun Han, Jiatao Li, Tao Zhang, Zhijing Zhu, Ling Su, Zhaoyong Han, Chunyan Xu, Yi Lu, Likun Pan, Tao Yang

“…A total of 26 relevant clinical features were extracted from this cohort. Following data preprocessing, we trained four models: Logistic Regression, Random Forest, Support Vector Machine, and Gaussian Naive Bayes. …”
Get full text

Length‐Based Stock Assessment of the Mackerel Scad, Decapterus macarellus (Cuvier, 1833) From the Tanzanian Coastal Waters by Joseph Salawa Sululu, Blandina Robert Lugendo, Paul Tuda, Benaiah Lameck Benno

Get full text

Analysis of English Listening Materials and the Compatibility to Curriculum by Zulfah Fakhruddin, Arqam Arqam, Irma Maming

Get full text

Digitalization in Public Finance: A Bibliometric Analysis by Mihail OLARU, Roxana Maria BĂDÎRCEA, Alexandra Lucia ZAHARIA, Alexandru Mihai FIRU, Bogdan NICOLA

“…Using bibliometric analysis based on Web of Science data, this study explores the trends and limitations of research digitisation in public finance. …”
Get full text

Multilayer Network-Based Production Flow Analysis by Tamás Ruppert, Gergely Honti, János Abonyi

“…A multilayer network model for the exploratory analysis of production technologies is proposed. To represent the relationship between products, parts, machines, resources, operators, and skills, standardized production and product-relevant data are transformed into a set of bi- and multipartite networks. …”
Get full text

Analysis of Typed Inclusion Dependencies with Null Values by Vladimir S. Zykin, Sergey V. Zykin

Get full text

Smartphone-based activity research: methodology and key insights by Ryan W. Turlip, Daksh Chauhan, Hasan S. Ahmad, Mert Marcel Dagli, Bonnie Y. Hu, Richard J. Chung, Yohannes Ghenbot, Ben J. Gu, Nisarg Patel, Richelle J. Kim, Julia Kincaid, Akash Verma, Jang W. Yoon

“…This study aims to provide a methodological guide for data collection and analysis of smartphone accelerometer data to assess clinical outcomes following surgery.MethodsPatient health metrics—namely daily steps, distance travelled, and flights climbed—were extracted from patient smartphones using easy-to-download applications. …”
Get full text

Cyborg Adolescents and Digital Data: Examining Education and Revenue Generation in the Digital Lives of Youth through More-than-Human Ethnography by Davood Zahrani, Ali Hashemianfar, Ahmad Mehrshad

“…A purposive sample of 10 adolescents aged 11 to 19 was selected, along with interviews with their parents, ensuring adherence to ethical considerations. Data collection involved an integrated approach combining observation, document analysis, and semi-structured interviews to explore adolescents' emotional experiences with digital data (Lupton, 2018). …”
Get full text

The clinical relevance of surgical specimens for RNA sequencing in lung cancer: a cohort study by Jung Seop Eom, Jung Seop Eom, Jung Seop Eom, Soo Han Kim, Soo Han Kim, Kyungbin Kim, Ahrong Kim, Ahrong Kim, Hyo Yeong Ahn, Jeongha Mok, Jeongha Mok, Jeongha Mok, Jeong Su Cho, Min Ki Lee, Min Ki Lee, Ju Sun Song, Mi-Hyun Kim, Mi-Hyun Kim, Mi-Hyun Kim

Get full text

Surgical Site Infection: Risk Factors Analysis by Anuja Jha, Manju Agarwal

“…SPSS v21 was used for analysis of data and Microsoft Excel to generate graphs and tables. …”
Get full text

Query Transformation for Processing Streams in Decision-making Agents by Simon Schiff, Mena Leemhuis, Özgür Özcep, Ralf Möller

“…However, if the aim is to exploit temporal data as required in time series analysis, SQL has its limits because it does not provide useful abstractions such as a window operator. …”
Get full text

Determinants of the Profitability of Savings Banks in the US and the Moderating Effect of the Pandemic Crisis by Marco Amaral

“…To obtain the results, a panel data analysis model was used, combining cross-section data (banks) and time-series data (years), and a strongly balanced panel was obtained. …”
Get full text

Applicability of IT Systems in Business in the Context of the Digitalization of Economic Processes by Ioana Lazarescu, Gabriela Gheorghe, Alexandrina Brinza

“…The methodology involves a comparative analysis of companies that have implemented ERP/CRM solutions versus those that have not, using data derived from case studies and financial analyses. …”
Get full text

Qualitative analysis of fourth-order hyperbolic equations by Yuliia Andreieva, Kateryna Buryachenko, Kateryna Buryachenko

“…The challenge to prove the maximum principle for weak solutions remains more complicated and at that time becomes more interesting in the case of fourth-order hyperbolic equations, especially, in the case of non-classical boundary value problems with data of weak regularity. Unlike second-order equations, qualitative analysis of solutions to fourth-order equations is not a trivial problem, since not only a solution is involved in boundary or initial conditions, but also its high- order derivatives. …”
Get full text

A Formal Model of Trajectories for the Aggregation of Semantic Attributes by Francisco Javier Moreno Arboleda, Georgia Garani, Natalia Andrea Álvarez Hoyos

“…The contributions in this work provide a foundation for future research in developing trajectory applications including analysis and visualization of trajectory aggregated data based on formal grounds.…”
Get full text