Delayed extubation and hypertrophic pyloric stenosis: what are the predictive factors? by Sabrine Ben Youssef, Syrine Laribi, Sawsen Chakroun, Maha Ben Mansour, Mariem Ben Fredj, Afef Toumi, Radhouen Ben Salah, Amine Ksia, Mongi Mekki, Mohsen Belghith, Samia Belhassen, Lassaad Sahnoun

“…This incident is frequently seen in infants operated on for hypertrophic pyloric stenosis (HPS), which can lead to inefficient use of operating rooms and delayed care for other patients.AimTo evaluate the frequency of “delayed extubations” in infants who have received an extramucosal pyloromyotomy under general anesthesia and to identify the predictive factors of this incident.MethodsWe report a retrospective and comparative study of patients operated for HPS at the pediatric surgery department of Monastir, between January 2020 and December 2023.ResultsThirty-four cases were collected. …”
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Exploring the predictive value of structural covariance networks for the diagnosis of schizophrenia by Clara S. Vetter, Clara S. Vetter, Clara S. Vetter, Annika Bender, Dominic B. Dwyer, Dominic B. Dwyer, Dominic B. Dwyer, Max Montembeault, Anne Ruef, Katharine Chisholm, Lana Kambeitz-Ilankovic, Linda A. Antonucci, Stephan Ruhrmann, Joseph Kambeitz, Marlene Rosen, Theresa Lichtenstein, Anita Riecher-Rössler, Rachel Upthegrove, Raimo K. R. Salokangas, Jarmo Hietala, Christos Pantelis, Christos Pantelis, Rebekka Lencer, Rebekka Lencer, Eva Meisenzahl, Stephen J. Wood, Stephen J. Wood, Paolo Brambilla, Paolo Brambilla, Stefan Borgwardt, Peter Falkai, Peter Falkai, Alessandro Bertolino, Nikolaos Koutsouleris, Nikolaos Koutsouleris, Nikolaos Koutsouleris, PRONIA Consortium

“…Structural covariance networks (SCN) describe the shared variation in morphological properties emerging from coordinated neurodevelopmental processes, This study evaluates the potential of SCNs as diagnostic biomarker for schizophrenia.MethodsWe compared the diagnostic value of two SCN computation methods derived from regional gray matter volume (GMV) in 154 patients with a diagnosis of first episode psychosis or recurrent schizophrenia (PAT) and 366 healthy control individuals (HC). …”
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Predictive value of bioelectrical impedance analysis and CT in cancer cachexia by WANG Yu, DUAN Ruonan, SONG Bin

“…Objective To evaluate the association between indicators of bioelectrical impedance analysis (BIA) and CT-realated indices and cancer cachexia in patients, and explore the predictive value.Methods Patients with cancer in the oncology department of Shanxi Bethune Hospital in Taiyuan were selected from August 2022 to September 2023. …”
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Predictive accuracy of fecal calprotectin for histologic remission in ulcerative colitis by Arshdeep Singh, Arshia Bhardwaj, Riya Sharma, Bhavjeet Kaur Kahlon, Ashvin Singh Dhaliwal, Dharmatma Singh, Simranjeet Kaur, Devanshi Jain, Namita Bansal, Ramit Mahajan, Kirandeep Kaur, Aminder Singh, Vikram Narang, Harpreet Kaur, Vandana Midha, Ajit Sood

“…Methods Clinical, biochemical, endoscopic, and histologic disease activity was studied in 347 patients with UC. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…The study employs theoretical methods such as analysis, synthesis, and generalisation of findings from interdisciplinary research, as well as conceptual and comparative analysis of human-AI interaction models and the evolving essence of predictive competence. …”
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Predictive Value of Inflammation Markers for Frailty in Older Patients with CVD by Hu S, Lai X, Shi Y, Chai H, Guo Z, Liu D, Cui C

“…This study aimed to investigate the relationship between SIRI and frailty in older patients with CVD, and to develop a nomogram for predicting the risk of frailty in this population.Methods: A total of 234 older patients with CVD were included. …”
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Development and Validation of Predictive Models for Non-Adherence to Antihypertensive Medication by Cristian Daniel Marineci, Andrei Valeanu, Cornel Chiriță, Simona Negreș, Claudiu Stoicescu, Valentin Chioncel

“…Five machine learning models were developed to predict non-adherence, defined by ARMS quartile-based thresholds. …”
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The Predictive Power of the Cystatin C‐Creatinine Score in Assessing Frailty by Li Deng, Xin Zheng, Yue Chen, Chenan Liu, Jinyu Shi, Zhaoting Bu, Xiaoyue Liu, Hong Zhao, Shuqun Li, Bing Yin, Siyu Xing, Hanping Shi

“…This study aims to construct a valuable biomarker and evaluate its predictive performance in assessing frailty and all‐cause mortality. …”
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Establishment and validation of predictive model of ARDS in critically ill patients by Senhao Wei, Hua Zhang, Hao Li, Chao Li, Ziyuan Shen, Yiyuan Yin, Zhukai Cong, Zhaojin Zeng, Qinggang Ge, Dongfeng Li, Xi Zhu

“…Methods This prospective cohort study in China was conducted on critically ill patients to derivate and validate the prediction model. …”
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Predictive ability of visit-to-visit glucose variability on diabetes complications by Xin Rou Teh, Panu Looareesuwan, Oraluck Pattanaprateep, Anuchate Pattanateepapon, John Attia, Ammarin Thakkinstian

“…Model performance was evaluated using C-statistics along with feature importance in ML models. …”
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The Predictive Value of Cystatin C for AKI in Patients with COVID-19 by M. O. Magomedaliev, D. I. Korabelnikov, S. E. Khoroshilov

“…Objective. To evaluate a potential of cystatin C blood concentration to predict acute kidney injury (AKI) in patients with severe and extremely severe pneumonia associated with a COVID-19.Materials and methods. …”
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Predictive Utility of Structured MRI Reporting for Rectal Cancer Outcomes by Eliodoro Faiella, Filippo Carannante, Federica Vaccarino, Gabriella Teresa Capolupo, Valentina Miacci, Gloria Perillo, Elva Vergantino, Bruno Beomonte Zobel, Marco Caricato, Domiziana Santucci

“…<b>Background/Objectives:</b> This retrospective study evaluates the predictive role of magnetic resonance imaging (MRI) in complications and recurrence in rectal cancer patients undergoing surgery and neoadjuvant therapy, highlighting the impact of structured reporting templates on MRI quality. …”
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Evaluating the efficacy of ultrasound-assisted extraction of Plantago major L. leaves by response surface methodology through determination of aucubin levels by Kurnia Rahayu Purnomo Sari, Zullies Ikawati, Retno Danarti, Nur Hasna Nafiisah, Triana Hertiani

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Fault-tolerant model predictive control for unmanned surface vehicles by Tahiyatul Asfihani, Ahmad Maulana Syafi'i, Agus Hasan

“…Through rigorous evaluation, we demonstrate the effectiveness of our proposed method in managing actuator faults on USVs. …”
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ATO Controller Research Based on Predictive Fuzzy Control Algorithm by LIU Jiazheng, XU Juan

“…So in this paper, a predictive fuzzy control method was used for train automatic operation. …”
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Artificial Intelligence and Administrative Justice: An Analysis of Predictive Justice in France by Zouhaier Nouri, Walid Ben Salah, Nayel AlOmran

“…The research employs a method based on an extensive literature review, a qualitative analysis of the adoption by the French administrative justice of predictive analytics tools, and a critical evaluation of the benefits and issues these tools bring. …”
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Predictive Modelling of Sea Debris around Maltese Coastal Waters by Mark Dingli, Kristian Guillaumier, Adam Gauci

“…This method offers a tailored approach to addressing sea-surface debris around Malta by accurately predicting sea-surface current velocities and visualising debris movement, improving cleanup operations and marine conservation strategies.…”
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Predictive model on employee stock ownership impacting corporate performance by Yiping Huang, Shixin Huang, Xiangjian Chen

“…In this study, with the idea of combining AI and accounting, we constructed a prediction model of the impact of ESOPs on enterprise performance that integrates language modeling and social sentiment mass data analysis, and introduced the prediction model to analyze the long-term, dynamic and nonlinear impact of ESOPs on enterprises; finally, we constructed an explainable AI (XAI) based on the LSTM model, and used the SHAP value method to explain the impact of ESOPs on enterprise performance. …”
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Development of a Predictive Model for Runway Water Film Depth by Peida Lin, Chiapei Chou

“…The multiple linear regression method is employed to establish a model for WFD predictions. …”
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Improving Hepatitis B outcome prediction with ensemble machine learning: A study on predictive models and interpretability by Abid Bin Ahosan, Forhadul Islam, Khandaker Mohammad Mohi Uddin, Nahid Hasan, Md Ashraf Uddin

“…This study investigates the effectiveness of various machine learning (ML) techniques in predicting patient outcomes in HBV infection. Methods The Chi-squared test was used for feature selection to find the most important factors, which were later applied to train and evaluate various ML models. …”
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