Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images by Masoud Tafavvoghi, Anders Sildnes, Mehrdad Rakaee, Nikita Shvetsov, Lars Ailo Bongo, Lill-Tove Rasmussen Busund, Kajsa Møllersen

“…Our findings suggest that, with further validation, supervised deep learning models could serve as supportive tools for molecular subtyping in breast cancer. Our codes are made available to facilitate ongoing research and development.…”
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Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes by Alfredo Madrid-García, Inés Pérez-Sancristobal, Leticia Leon, Lydia Abásolo, Benjamín Fernández-Gutiérrez, Luis Rodríguez-Rodríguez

“…Normalization yielded 402 ESCO codes. Mechanical pathologies such as back pain and muscle disorders were associated with a higher probability of occupation collection, while professions like cleaners and helpers were linked to these conditions. …”
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How are social determinants of health represented in German medical education?: a qualitative content analysis of key-curricular documents by Jan M Stratil, Peter von Philipsborn, Simon Drees, Karin Geffert, Franziska Hommes

“…Objective The WHO Commission on Social Determinants of Health (SDH) has called for a health workforce trained in recognising, understanding and acting on the SDH. …”
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Identification of major trauma using the simplified abbreviated injury scale to estimate the injury severity score: a diagnostic accuracy and validation study by David Eidenbenz, Tobias Gauss, Tobias Zingg, Vincent Darioli, Cécile Vallot, Pierre-Nicolas Carron, Pierre Bouzat, François-Xavier Ageron

“…Abstract Background The Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS) grade the severity of injuries and are useful for trauma audit and benchmarking. However, AIS coding is complex and requires specifically trained staff. …”
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PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data by Mousa Moradi, Saber Kazeminasab Hashemabad, Daniel M. Vu, Allison R. Soneru, Asahi Fujita, Mengyu Wang, Tobias Elze, Mohammad Eslami, Nazlee Zebardast

“…<i>Background and Objectives</i>: Glaucoma (GL) classification is crucial for early diagnosis and treatment, yet relying solely on stand-alone models or International Classification of Diseases (ICD) codes is insufficient due to limited predictive power and inconsistencies in clinical labeling. …”
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Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification by Blessy Kiruba, P. S. Athul Narayan, Badhari Raj, S. Rohieth Raj, Sam George Mathew, Sudhakaran Sajitha Lulu, Vino Sundararajan

“…Integrated models combining computational techniques with large multi-omics datasets have gained significant attention, enabling the identification of significant BC biomarkers that include genes coding for diverse cellular functions, differentially expressed genes, proteins, and metabolites. …”
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Analysis and knowledge extraction of newborn resuscitation activities from annotation files by Mohanad Abukmeil, Øyvind Meinich-Bache, Trygve Eftestøl, Siren Rettedal, Helge Myklebust, Thomas Bailey Tysland, Hege Ersdal, Estomih Mduma, Kjersti Engan

“…We propose an encoding generator with unique codes for combination of activities. A visualization of aggregated episodes is proposed using sparse nearest neighbor graph, shown to be useful to compare datasets and give insights. …”
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Accurate Prediction of Compression Index of Normally Consolidated Soils Using Artificial Neural Networks by Ali Ulvi Uzer

“…For this purpose, an ANN was trained and validated using a dataset consisting of 560 high and low- plasticity soil samples obtained from construction sites in various regions of Turkey over the last forty years, as well as soil borings in Istanbul. …”
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Physician factors affecting patient preferences in selecting a primary care provider: A qualitative research study in Singapore. by Abigail Ern Jie Lee, Sulaiha Ithinin, Ngiap Chuan Tan

“…<h4>Background</h4>Care continuity by a dedicated, well-trained primary care physician (PCP) has shown to improve health outcomes of patients with non-communicable diseases (NCDs). …”
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How adolescent motherhood is perceived and influenced by sociocultural factors: A sociological qualitative study of Sindh province, Pakistan. by Nadia Agha, Rahim Dad Rind

“…Health providers must be trained to provide awareness and psychological support to girls experiencing adolescent motherhood. …”
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Engaging community members in setting priorities for nutrition interventions in rural northern Ghana. by Maxwell Ayindenaba Dalaba, Engelbert A Nonterah, Samuel T Chatio, James K Adoctor, Edith Dambayi, Esmond W Nonterah, Stephen Azalia, Doreen Ayi-Bisah, Agnes Erzse, Daniella Watson, Polly Hardy-Johnson, Sarah H Kehoe, Aviva Tugendhaft, Kate Ward, Cornelius Debpuur, Abraham Oduro, Winfred Ofosu, Marion Danis, Mary Barker, INPreP study group

“…Supported by trained facilitators, six community groups used the tool to prioritise interventions. …”
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Genome-wide identification and characterization of DNA enhancers with a stacked multivariate fusion framework. by Yansong Wang, Zilong Hou, Yuning Yang, Ka-Chun Wong, Xiangtao Li

“…Enhancers are short non-coding DNA sequences outside of the target promoter regions that can be bound by specific proteins to increase a gene's transcriptional activity, which has a crucial role in the spatiotemporal and quantitative regulation of gene expression. …”
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Enhancing engagement in HIV care among adolescents and young adults: A focus on phone-based navigation and relationship building to address barriers in HIV care. by Harriet Fridah Adhiambo, Chanda Mwamba, Jayne Lewis-Kulzer, Sarah Iguna, Gladys Moraa Ontuga, Dorothy Imbuka Mangale, Everlyne Nyandieka, James Nyanga, Isaya Opondo, Joseph Osoro, Lina Montoya, Edwin Nyagesoa, Norton Sang, Eliud Akama, Elizabeth Bukusi, Lisa Abuogi, Elvin Geng, Zachary Arochi Kwena

“…We then applied inductive and deductive coding, followed by thematic analysis. Overall, participants found E-NAV acceptable in regard to content and frequency-particularly the opportunity to select a preferred time for calls/text messages, including evenings and weekends. …”
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Perspectives of the Obstetric Care Environment for Pregnant Individuals Who Have an Opioid Use Disorder by Samantha Girasulo, Caro Maltz, Maggie Weichert, Joy S. Kaufman, Amanda Mele, Karen Hunkele, Kimberly A. Yonkers, Nancy Byatt, Ariadna Forray

“…Two staff independently coded transcripts, and we used content analysis to identify themes. …”
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“Help Being Passed From One Person to the Next”: Factors Defining the Development, Challenges, and Successes of Faculty Peer Mentoring Relationships During Mentee Transitions to En... by Joseph Mirabelli, Jeanne Sanders, Allyson Barlow, Evan Ko, Kelly Cross, Karin Jensen

“…Data analysis followed an iterative thematic coding procedure to identify concepts that helped explain the mentorship experience of mentors and mentees. …”
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Emotional, informational, and decision-making support needs among people seeking abortion in the US: perspectives from All-Options Talkline callers by Jane W. Seymour, Bria A. Goode, Paulina Guerrero, Angélica M. Campos, Kai Kyles, Poonam Dreyfus-Pai, Sarah E. Baum

“…Abortion support from non-medically trained support people contributes to high-quality abortion care, especially in a time of increasing abortion restrictions and use of remote abortion services.…”
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Ergonomic Risk Assessment for Refuse Collectors at Chitungwiza Municipality in Zimbabwe by Norman Gumbo, Jonathan Chisvo, Taremba Chirigo

“…Conclusion: Only 2/3 of the workers were trained in safe working practices, and most importantly, they were not trained in lifting techniques. …”
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Integrated Psychosocial Care in Intensive Care (IPS-Pilot): Protocol for the Systematic, Multimethod Development of a Complex Intervention (Phase A) by Sophie Felicitas Nickel, Simone Korger, Wencke Schindler, Heike Heytens, Gironimo Krieg, Karl-Philipp Drewitz, Katrin Schürmann, Leon Schössow, Julianna Gehrig, Marius Binneböse, Christian Hirning, Klaus Hönig, Rolf Konstantin Niessen, Julia Kirschbaum, Laurence Erdur, Sophie Peter, Florian Junne, Matthias Rose, Christian Apfelbacher, Harald Gündel

“…These methods included (1) a scoping umbrella review conducted by 2 researchers, who independently screened and selected reviews and meta-analyses in the field of needs and demands in the ICU setting, following the Levac framework; (2) web-based and face-to-face interviews and focus group discussions, which were coded independently by 2 researchers and analyzed using qualitative content analysis; the identified categories and codes were then quantified by (3) an online survey conducted with former ICU patients, their relatives, HCPs working in ICUs, and members of the general population. …”
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An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification by Ayesha Shaik, Shivanya Shomir Dutta, Ishaan Milind Sawant, Shreyas Kumar, Ananthakrishnan Balasundaram, Kanjar De

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AppAuth: Authorship Attribution for Android App Clones by Guoai Xu, Chengpeng Zhang, Bowen Sun, Xinyu Yang, Yanhui Guo, Chengze Li, Haoyu Wang

“…AppAuth first extracts a number of coding-style-related features from the executable <italic>.apk</italic> files, and then relies on machine learning techniques to train a classification model. …”
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