The Entente’s Support for the White Armies in Southern Russia (Late 1918–1919) by G. G. Popov, T. G. Chshiev, O. Yu. Kazenkov

“…This article examines a previously underexplored aspect of the Russian Civil War during its critical phase in late 1918–1919: the logistical support provided by the Entente to the White armies in the South, set against the backdrop of the final military interventions. …”
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The Tools for Integrated Management of Childhood Illness (TIMCI) study protocol: a multi-country mixed-method evaluation of pulse oximetry and clinical decision support algorithms by Fenella Beynon, Hélène Langet, Leah F. Bohle, Shally Awasthi, Ousmane Ndiaye, James Machoki M’Imunya, Honorati Masanja, Susan Horton, Maymouna Ba, Silvia Cicconi, Mira Emmanuel-Fabula, Papa Moctar Faye, Tracy R. Glass, Kristina Keitel, Divas Kumar, Gaurav Kumar, Gillian A. Levine, Lena Matata, Grace Mhalu, Andolo Miheso, Deusdedit Mjungu, Francis Njiri, Elisabeth Reus, Michael Ruffo, Fabian Schär, Kovid Sharma, Helen L. Storey, Irene Masanja, Kaspar Wyss, Valérie D’Acremont, TIMCI Collaborator Group

“…The Tools for Integrated Management of Childhood Illness (TIMCI) project aims to support healthcare providers to identify and manage severe illness, whilst promoting resource stewardship, by introducing pulse oximetry and clinical decision support algorithms (CDSAs) to primary care facilities in India, Kenya, Senegal and Tanzania. …”
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Exploring timely and safe discharge from ICU: a comparative study of machine learning predictions and clinical practices by Chao Ping Wu, Rachel Benish Shirley, Alex Milinovich, Kaiyin Liu, Eduardo Mireles-Cabodevila, Hassan Khouli, Abhijit Duggal, Anirban Bhattacharyya

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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…By identifying the most important predictors of readmission following TKA, our findings may assist in the development of novel clinical decision support tools, potentially improving preoperative counseling and postoperative monitoring practices in at-risk patients.…”
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Machine learning for predicting severe dengue in Puerto Rico by Zachary J. Madewell, Dania M. Rodriguez, Maile B. Thayer, Vanessa Rivera-Amill, Gabriela Paz-Bailey, Laura E. Adams, Joshua M. Wong

“…Integrating these models into clinical decision-support tools could help clinicians better identify high-risk patients, guiding timely interventions like hospitalization, closer monitoring, or the administration of intravenous fluids. …”
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Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring by Luca Cossu, Francesco Prendin, Giacomo Cappon, David Herzig, Lia Bally, Andrea Facchinetti

“…Unlike in Type 1 and Type 2 diabetes (T1D, T2D), where decision support systems (DSS) and continuous glucose monitoring (CGM) tools aid blood glucose management, no dedicated DSS exists for PBH. …”
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Communication Support for People with ALS by David Beukelman, Susan Fager, Amy Nordness

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Assisted Parkinsonism Diagnosis Using Multimodal MRI—The Role of Clinical Insights by Tobias Meindl, Alexander Hapfelmeier, Tobias Mantel, Angela Jochim, Jonas Deppe, Silke Zwirner, Jan S. Kirschke, Yong Li, Bernhard Haslinger

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Designing an intervention to improve cognitive evaluations in primary care by Kyra S. O’Brien, Kristin Harkins, MaryAnne Peifer, Melanie Kleid, Cameron Coykendall, Judy Shea, Jason Karlawish, Robert E. Burke

“…Results Twenty PCPs were interviewed and mentioned barriers included lack of expertise to perform or interpret an assessment, time pressures, lack of incentives, competing priorities, lack of decision-making supports, and limited access to dementia specialists. …”
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Factors influencing role preferences in decision-making of healthy women with BRCA1/2 pathogenic variants: subanalysis from a randomised controlled decision coaching trial by Sibylle Kautz-Freimuth, Arim Shukri, Claudia Stracke, Anna Isselhard, Birte Berger-Höger, Anke Steckelberg, Frank Vitinius, Nicola Dikow, Marion Kiechle, Cornelia Meisel, Achim Wöckel, Marion Tina von Mackelenbergh, Rita Schmutzler, Kerstin Rhiem, Stephanie Stock

“…Those returning the baseline questionnaires (T1) were randomly assigned to the intervention or control group (IG, CG). The IG completed a decision-coaching (DC) programme, the CG received standard care. …”
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End-of-life decisions and palliative care in surgical intensive care units by Polona Gams, Anja Kramarič Lozar, Primož Gradišek, Maja Šoštarič

“…Decision making on withholding and withdrawing of life-sustaining therapies in ICU varies from country to country. …”
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Advancements in Predictive Analytics: Machine Learning Approaches to Estimating Length of Stay and Mortality in Sepsis by Houssem Ben Khalfallah, Mariem Jelassi, Jacques Demongeot, Narjès Bellamine Ben Saoud

“…These findings highlight the potential of ML-driven clinical decision support systems (CDSSs) to enhance early risk assessment, optimize ICU resource planning, and support timely interventions. …”
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The Impact of Parental Verbal Abuse on Adolescent Decision-Making in North Binjai, Indonesia by Sabrina Dwi Putri, Muhammad Putra Dinata Saragi

“…These findings underscore the need for interventions and support systems to help adolescents develop resilience and decision-making skills in the face of verbal abuse.…”
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Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review by Claire R. van Genugten, Claire R. van Genugten, Melissa S. Y. Thong, Melissa S. Y. Thong, Melissa S. Y. Thong, Wouter van Ballegooijen, Wouter van Ballegooijen, Wouter van Ballegooijen, Annet M. Kleiboer, Annet M. Kleiboer, Donna Spruijt-Metz, Arnout C. Smit, Mirjam A. G. Sprangers, Mirjam A. G. Sprangers, Yannik Terhorst, Yannik Terhorst, Heleen Riper, Heleen Riper, Heleen Riper

“…s framework were incorporated in the JITAIs, essential elements (e.g., adaptivity and receptivity) within the core components were missing and the core components were only partly substantiated by empirical evidence (e.g., interventions were supported, but the decision rules and points were not). …”
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Web-based platform to collect, share and manage technical data of historical systemic architectures: the Telegraphic Towers along the Madrid-Valencia path by Margherita Lasorella, Pasquale de-Dato, Elena Cantatore

“…Their choice is motivated by the high level of knowledge about the cases reached in the last years by the authors, allowing them to test rules within the decision support systems and innovative techniques for their decay mapping. …”
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Co-creation as a Methodology to Integrate Mental Health and Psychosocial Support and Peacebuilding by Yvonne Sliep, Marian Tankink, Friederike Bubenzer

“…The integration of peacebuilding and mental health and psychosocial support (MHPSS) is a new field that is receiving increased attention from policy makers, local and international civil society organisations and donors. …”
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Artificially intelligent nursing homes: a scoping review of palliative care interventions by Isabel Ronan, Sabin Tabirca, Sabin Tabirca, David Murphy, Nicola Cornally, Mohamad M. Saab, Patrice Crowley

“…There are key issues to address in future research surrounding palliative definitions, data accessibility, and stakeholder involvement.DiscussionThis paper presents the first review to consolidate research on palliative care interventions in nursing homes. The findings of this review indicate that integrated intelligent physical systems and decision support systems have yet to be explored. …”
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Home-Based Intervention Tool for Cardiac Telerehabilitation: Protocol for a Controlled Trial by Francesca Mastorci, Maria Francesca Lodovica Lazzeri, Lamia Ait-Ali, Paolo Marcheschi, Paola Quadrelli, Massimiliano Mariani, Rafik Margaryan, Wanda Pennè, Marco Savino, Giuseppe Prencipe, Alina Sirbu, Paolo Ferragina, Corrado Priami, Alessandro Tommasi, Cesare Zavattari, Pierluigi Festa, Stefano Dalmiani, Alessandro Pingitore

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Effectiveness of interventions on healthcare professionals’ understanding and use of conscience: a systematic review protocol by Alex Clark, Megan Kennedy, Christina Lamb, Edith Pituskin, Ken Kirkwood, Yolanda Babenko-Mould

“…The objective of this review is to critically analyse the scholarly evidence available to ascertain the effectiveness of interventions that support healthcare professionals to understand and use their conscience in care practice.Methods and analyses At least two reviewers will systematically review 10 interdisciplinary, scholarly databases to examine qualitative, quantitative and mixed-methods studies including clinical trials pertaining to interventions related to conscience for healthcare professionals. …”
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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

“…In this investigation, we explore the various applications of machine learning and deep learning in musculoskeletal rehabilitation, including image analysis, predictive modelling, and decision support systems. We also examine the challenges and limitations associated with implementing these techniques in clinical practice and the ethical considerations surrounding their use. …”
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