Externally validated nomogram for predicting short-term pregnancy outcome of singleton pregnancies with fetal growth restriction (FGR) by Yang Li, Xiaohong Zhang, Junshu Xie, Fufen Yin, Mingrui Jin, Yujing Li, Xiuju Yin

“…Furthermore, the calibrations of the nomograms predicting the 28th and 34th TOP-free gestation week strongly corresponded to the actual survival outcome.Conclusion This prediction model may help clinicians in decision-making for singleton pregnancies with FGR, especially for patients with a single abnormal umbilical arterial flow or fetal anomaly, without induced labour indications for these abnormalities.…”
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A Study on the Infrageneric Classification of <i>Hordeum</i> Using Multiple Methods: Based on Morphological Data by Nayoung Ro, Pilmo Sung, Mesfin Haile, Hyemyeong Yoon, Dong-Su Yu, Ho-Cheol Ko, Gyu-Taek Cho, Hee-Jong Woo, Nam-Jin Chung

“…This approach offers a new framework for classifying diverse barley species and contributes significantly to data-driven decision-making in breeding and conservation efforts, supporting a deeper understanding of barley’s adaptive evolution in response to environmental changes.…”
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The assessment of routine health information system performance towards improvement of quality of reproductive, maternal, newborn, child and adolescent health services in Ondo and... by Victoria Oladoyin, Sunday Adedini, Kayode Ijadunola, Hassan Ogunwemimo, Olubunmi Folorunso, Elizabeth Chukwu, Ugo Okoli, Anthony Adoghe, Samuel Oyeniyi, Oniyire Adetiloye, Adesegun Fatusi

“…<h4>Conclusion</h4>Routine RMNCAEH+N QoC data management system in Ondo and Ekiti States vary in terms of the status of reporting forms, data quality, and data use for decision-making, and there were specific performance gaps. …”
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DIGITAL TOOLS FOR MATCHING QUALIFICATIONS TO THE LEVELS OF THE NATIONAL QUALIFICATIONS FRAMEWORK by Volodymyr Kovtunets, Sergiy Londar, Serhii Melnyk, Oles Kovtunets

“…At the lower level of the decision-making process, there are 3-4 descriptors of qualification. …”
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Renal transplant recipient and deceased-donor risk profiles at Wits Donald Gordon Medical Centre, Johannesburg, South Africa: A 9-year review by F van der Schyff, M Barnard, B Ströbele, M de Jager, R Britz, P Gaylard, J Loveland

“…Renal transplantation is the gold-standard therapy for end-stage renal disease. Decision-making around the acceptance of deceased-donor organs is complex and time sensitive. …”
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Supervised vs. Self-Managed Exercise Therapy for Improving Shoulder Function After Traumatic Dislocation and Sprain: A Systematic Review and Meta-Analysis by Daniel Koska, Robert Zetzsche, Tobias A. Mayer, Christian Maiwald

“…Further high-quality trials with standardized protocols and improved adherence tracking are needed to establish more definitive conclusions and guide clinical decision-making.…”
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Comprehensive approach to predictive analysis and anomaly detection for road crash fatalities by Chopparapu Gowthami, S. Kavitha

“…To enhance road safety results, the research emphasizes the need for interdisciplinary partnerships and data-driven decision making. The findings open the door for evidence-based initiatives to lessen the effects of traffic accidents and save lives on our roads by utilizing data analytics and predictive modeling.…”
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Current research status of Traditional Chinese Medicine nursing for patients with sleep disorder after stroke (脑卒中后睡眠障碍中医护理技术研究现状) by HU Haixia (胡海霞), LIANG Haiyun (梁海云), HAN Xuelian (韩雪莲), XIE Ying (谢影), LI Yanmei (李艳梅)

“…From the perspective of Traditional Chinese medicine nursing and analysis of actual situation of patients with post-stroke sleep disorders, this study reviewed the studies on Traditional Chinese Medicine nursing for patients with sleep disorder after stroke, and provided reference for clinical decision making and nursing practice. (睡眠障碍是脑卒中患者较为常见的一种并发症, 不仅影响患者生活质量, 且不利于脑卒中后期康复。…”
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Construction of a prognostic prediction model for colorectal cancer based on 5-year clinical follow-up data by Boao Xiao, Min Yang, Yao Meng, Weimin Wang, Yuan Chen, Chenglong Yu, Longlong Bai, Lishun Xiao, Yansu Chen

“…For the selected optimal model, the decision-making process was interpreted using the SHapley Additive exPlanations (SHAP) method. …”
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Association of elevated albumin-corrected anion gap with all-cause mortality risk in atrial fibrillation: a retrospective study by Jia Xu, Zhen Wang, Yun Wang, Xinran Chen, Lan Ma, Xiaochen Wang

“…Incorporating ACAG into clinical decision-making could support improved therapeutic strategies and enhance patient outcomes.…”
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Preoperative prediction of multiple biological characteristics in colorectal cancer using MRI and machine learning by Qiao-yi Huang, Hui-da Zheng, Bin Xiong, Qi-ming Huang, Kai Ye, Shu Lin, Jian-hua Xu

“…Colorectal cancer (CRC) is the second most prevalent cause of oncological mortality, and its diagnostic and therapeutic decision-making processes is complex. Alteration in molecular characteristic expression is closely related to tumor invasiveness and can serve a novel biomarker for predicting cancer prognosis. …”
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Prediction model for unfavorable treatment outcome for complicated sever acute malnutrition (SAM) in under five children admitted in hospitals at Amhara Region by Almaw Genet Yeshiwas, Zelalem Alamrew Anteneh, Tilahun Degu Tsega, Ahmed Fentaw Ahmed, Chalachew Yenew

“…This study validates a prediction model and develops risk scores for unfavorable treatment outcomes in SAM patients, addressing the scarcity of risk assessment tools in low-income settings and providing clinicians with a practical tool to improve decision-making.MethodsA cohort study was conducted among 915 SAM children hospitalized with SAM hospitals in Amhara Region. …”
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Design and Development of a Web‐Based Registry for Outpatient Rehabilitation: A Delphi Multi‐Disciplinary, Expert Consensus Study by Seyyedeh Fatemeh Mousavi Baigi, Masoumeh Sarbaz, Davood Sobhani‐Rad, Salman Nazary‐Moghadam, Javad Heravian Shandiz, Kosar Ghaddaripouri, Reyhane Norouzi Aval, Khalil Kimiafar

“…Conclusion This work offers a combined MDS that reflects the priorities and viewpoints of multidisciplinary experts for an outpatient rehabilitation registry that aids in clinical decision‐making.…”
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Advanced Machine Learning to Predict Coronary Artery Disease Severity in Patients with Premature Myocardial Infarction by Yu-Hang Wang, Chang-Ping Li, Jing-Xian Wang, Zhuang Cui, Yu Zhou, An-Ran Jing, Miao-Miao Liang, Yin Liu, Jing Gao

“…This system can swiftly identify PMI patients who also have severe coronary artery lesions before the coronary intervention, thus offering valuable guidance for clinical decision-making.…”
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Analytic and clinical validity of thyroid nodule mutational profiling using droplet digital polymerase chain reaction by Vincent L. Biron, Ashlee Matkin, Morris Kostiuk, Jordana Williams, David W. Cote, Jeffrey Harris, Hadi Seikaly, Daniel A. O’Connell

“…Abstract Background Recent guidelines for the management of thyroid nodules incorporate mutation testing as an adjunct for surgical decision-making, however current tests are costly with limited accuracy. …”
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A new trigonometric-inspired probability distribution: A simulation study and applications in reliability and hydrology by Xiang Tu, Jiangwei Kong, Qing Fu, Sheng Chang, Kunfeng Zhang, Tmader Alballa, Haifa Alqahtani, Hamiden Abd El-Wahed Khalifa

“…The importance of statistical distributions in accurately representing real-world scenarios and aiding in educated decision-making is well recognized. Nonetheless, it is also true that the limitations of these distributions can hinder optimal fitting in certain situations. …”
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MRI-based deep learning radiomics to differentiate dual-phenotype hepatocellular carcinoma from HCC and intrahepatic cholangiocarcinoma: a multicenter study by Qian Wu, Tao Zhang, Fan Xu, Lixiu Cao, Wenhao Gu, Wenjing Zhu, Yanfen Fan, Ximing Wang, Chunhong Hu, Yixing Yu

“…The fusion models may enhance clinical decision-making for malignant hepatic tumors. Graphical Abstract…”
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A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study by Yan Lei, Na Zhang, Yu Liu, Xin Du

“…Conclusions The model may aid in individual clinical decision-making, allowing clinicians to perform immediate postoperative assessments for patients with endogenous ectopic pregnancy in cesarean section scars treated with negative pressure suction, identify high-risk subpopulations, and select appropriate supplementary treatment in advance, making it particularly suitable for low-income areas and resource-limited primary hospitals.…”
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Cost-Benefit Analysis of Genetic Testing as a Prenatal Diagnostic Tool for Thalassemia: A Single-Center Study From Central Thailand by Malasai K, Jittikoon J, Udomsinprasert W, Talungchit P, Youngkong S, Sangroongruangsri S, Mahasirimongkol S, Chaikledkaew U

“…Kwandao Malasai,1,2 Jiraphun Jittikoon,3 Wanvisa Udomsinprasert,3 Pattarawalai Talungchit,4,5 Sitaporn Youngkong,5,6 Sermsiri Sangroongruangsri,6 Surakameth Mahasirimongkol,7 Usa Chaikledkaew5,6 1Social, Economic and Administrative Pharmacy (SEAP) Graduate Program, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand; 2Social Pharmacy Research Unit, Faculty of Pharmacy, Mahasarakham University, Maha Sarakham, Thailand; 3Department of Biochemistry, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand; 4Department of Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; 5Mahidol University Health Technology Assessment (MUHTA) Graduate Program, Mahidol University, Bangkok, Thailand; 6Social and Administrative Pharmacy Division, Department of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok, Thailand; 7Information and Communication Technology Center, Office of the Permanent Secretary, Ministry of Public Health, Nonthaburi, ThailandCorrespondence: Usa Chaikledkaew, Social and Administrative Pharmacy Division, Department of Pharmacy, Faculty of Pharmacy, Mahidol University, 447 Sri-Ayudhaya Road, Rachathewi, Phayathai, Bangkok, 10400, Thailand, Email usa.chi@mahidol.ac.thPurpose: This study aimed to evaluate the costs and benefits of genetic testing, specifically mutation analysis and prenatal diagnostic testing, for the confirmation of thalassemia in at-risk pregnancies in Thailand, providing crucial insights to inform public health policy decision-making.Patients and Methods: We analyzed the costs and benefits of following standard screening guidelines, which included a sequence of tests such as mean corpuscular volume (MCV)/mean corpuscular hemoglobin (MCH) with dichlorophenol indophenol precipitation (DCIP), hemoglobin (Hb) typing, genetic testing, and amniocentesis. …”
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Minimum Dietary Diversity and Associated Factors among Lactating Mothers in Ataye District, North Shoa Zone, Central Ethiopia: A Community-Based Cross-Sectional Study by Lemma Getacher, Gudina Egata, Tadesse Alemayehu, Agegnehu Bante, Abebaw Molla

“…Therefore, efforts should be made to improve the mother’s decision-making autonomy, nutrition knowledge, household food security, and wealth status.…”
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