Comparative evaluation of the informative value of methods for determining the volume of intraoperative blood loss in the surgical treatment of burn victims by E. V. Zinoviev, D. O. Vagner, A. E. Chukharev

“…The OBJECTIVE was to evaluate the informative value of various methods for determining the volume of blood loss during early surgical excision with simultaneous skin grafting with split grafts in patients with full thickness burns.MATERIAL AND METHODS. …”
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Incident duration prediction through integration of uncertainty and risk factor evaluation: A San Francisco incidents case study. by Amirreza Salehi, Ardavan Babaei, Majid Khedmati

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Non-Destructive Testing and Evaluation of Hybrid and Advanced Structures: A Comprehensive Review of Methods, Applications, and Emerging Trends by Farima Abdollahi-Mamoudan, Clemente Ibarra-Castanedo, Xavier P. V. Maldague

“…The transformative role of NDE 4.0 in enabling automated, real-time, and predictive structural assessment is also discussed. …”
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Deep Inspiratory Breath-Hold Technique for Patients with Left-Sided Breast Cancer: Dosimetric Analysis, Clinical Evaluation, and Prediction by Jing Shen MD, Kun Zhang MD, Xiangyin Meng PhD, Bo Yang PhD, Jiabin Ma MD, Ke Hu MD, Fuquan Zhang MD, Xiaorong Hou MD

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Evaluation of Sentinel-2 Deep Resolution 3.0 Data for Winter Crop Identification and Organic Barley Yield Prediction by Milen Chanev, Ilina Kamenova, Petar Dimitrov, Lachezar Filchev

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Early Evaluation of the Short Physical Performance Battery in Hospitalized Patients with Chronic Kidney Disease Predicts Long-Term Hospitalization by Takashi Amari, Eiji Kubo, Yota Kuramochi, Shota Onoda, Kyosuke Fukuda, Emi Yokoyama, Masami Kimura, Tomoyuki Arai

“…This study aimed to determine whether assessment of physical function one week after hospitalization can predict the length of stay in patients with CKD. Methods: A retrospective study was conducted on hospitalized patients with CKD who underwent rehabilitation between March 2019 and March 2020. …”
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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms by Sophie G. Zaloumis, Megha Rajasekhar, Julie A. Simpson

“…Methods To illustrate the approach, training dataset sizes were evaluated to inform the design of a “mock” prediction modelling study aimed to predict the artemisinin resistance status of Plasmodium falciparum malaria isolates from gene expression data. …”
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Humanoid robots for psychological assessment in mild cognitive impairment: from evaluation to the future of AI-driven data prediction systems by Caterina Formica, Fabio Mauro Giambò, Desiree Latella, Lilla Bonanno, Marco Lombardo, Orazio Tomarchio, Angela Marra, Antonella Alagna, Carmen Bonanno, Angelo Quartarone, Silvia Marino

“…This study explores the feasibility of using the humanoid robot Pepper to administer cognitive assessments for Mild Cognitive Impairment (MCI). Specifically, it evaluates the usability, accuracy, and patient experience of robot-administered cognitive testing compared to traditional assessments conducted by neuropsychologists.MethodsA total of 100 MCI patients were randomly assigned to two groups: one undergoing the Mini-Mental State Examination (MMSE) with Pepper and the other receiving the same test administered by a neuropsychologist. …”
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Evaluation of the ATRIA and CHA2DS2-VASc Scores and Their Performance on Predicting Mortality in Patients with Acute Pulmonary Embolism by Ozge Ozcan Abacioglu, Arafat Yildirim, Mine Karadeniz, Ferhat Dindas, Serkan Abacioglu, Nermin Yildiz Koyunsever, Mustafa Dogdus

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Evaluation of the Efficacy of a Nomogram to Predict Multidrug-Resistant Pulmonary Infections Based on Data from Neurosurgery Ward Patients by Zhou R, Chen X, Jia H, Duan W

“…Ran Zhou,1,* Xiaolong Chen,2,* Hengmin Jia,3 Wen Duan4 1Department of Pharmacy, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, People’s Republic of China; 2Department of Pharmacy, The Second People’s Hospital of Chizhou, Chizhou, Anhui, 247100, People’s Republic of China; 3Department of Infection Office, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, People’s Republic of China; 4Department of Orthopedics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, People’s Republic of China*These authors contributed equally to this workCorrespondence: Wen Duan, Department of Orthopedics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, People’s Republic of China, Email duanwen1717@gmail.comObjective: This study aimed to construct and evaluate a nomogram based on data from neurosurgery ward patients to predict the probability of multidrug-resistant (MDR) pneumonia occurrence.Methods: We retrospectively collected clinical data, early laboratory test results, and physician prescriptions for 35 variables from patients. …”
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Construction and evaluation of a nomogram model for predicting the risk of hospital-acquired pneumonia in elderly patients with acute ischemic stroke by Man Huang, Wan Wang, Wu-lin Li, Yan-qing Chen, Xian-ting Chen, Ye Liu, Yan Li, Dong-mei Ren, Fei Wang

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Evaluation of statistical models of carriage to predict the impact of the 10-valent pneumococcal conjugate vaccine on invasive pneumococcal disease in Nigeria by Aishatu L. Adamu, John. Ojal, Caroline Mburu, Katherine E. Gallagher, Stefan Flasche, Kofo Odeyemi, Christy A.N. Okoromah, Isa S. Abubakar, Musa M. Bello, Victor Inem, Angela Karani, Boniface Karia, Donald Akech, Ifedayo M.O. Adetifa, J. Anthony G. Scott

“…Methods: We applied external data, with assumptions, to empirical carriage prevalence data to predict IPD incidence rate ratios (IRRs). …”
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Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits by F. Shokor, P. Croiseau, H. Gangloff, R. Saintilan, T. Tribout, T. Mary-Huard, B.C.D. Cuyabano

“…ABSTRACT: Genomic prediction (GP) aims to predict the breeding values of multiple complex traits, usually assumed to be multivariate normally distributed by the largely used statistical methods, thus imposing linear genetic relationships between traits. …”
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Detection and Prediction of Wind and Solar Photovoltaic Power Ramp Events Based on Data-Driven Methods: A Critical Review by Jie Zhang, Xinchun Zhu, Yigong Xie, Guo Chen, Shuangquan Liu

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Modeling and computing experiment in the problem of predicting the per capita monetary income of the population based on the methods of correlation and regression analysis by Angelina Vladimirovna Vaskina, Victoria Igorevna Naats

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Financial Distress Prediction Analysis at PT Garuda Indonesia Tbk for 2020-2023 Using the Grover, Taffler and Springate Methods by Fayza Safira Hasanah, Ananda Putri Hasanah, Erwin Budianto

“…This study aims to evaluate the potential financial distress of PT Garuda Indonesia Tbk during the period 2020-2023 using three prediction models: Grover, Taffler, and Springate. …”
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Predicting Win-Loss outcomes in MLB regular season games – A comparative study using data mining methods by Soto Valero C.

“…In this paper, we employ sabermetrics statistics with the purpose of assessing the predictive capabilities of four data mining methods (classification and regression based) for predicting outcomes (win or loss) in MLB regular season games. …”
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Predicting COVID-19 severity in pediatric patients using machine learning: a comparative analysis of algorithms and ensemble methods by Babak Pourakbari, Setareh Mamishi, Sepideh Keshavarz Valian, Shima Mahmoudi, Reihaneh Hosseinpour Sadeghi, Mohammad Reza Abdolsalehi, Mahmoud Khodabandeh, Mohammad Farahmand

“…This study evaluates the performance of machine learning algorithms in predicting disease severity among pediatrics. …”
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Regression machine learning methods for isolation prediction and massive gain broadband MIMO antenna design for 28 GHz applications by Md.Ashraful Haque, Redwan A. Ananta, Jun-Jiat Tiang, Mouaaz Nahas, Md Afzalur Rahman, Narinderjit Singh Sawaran Singh

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Risk prediction tools for pressure injury occurrence: an umbrella review of systematic reviews reporting model development and validation methods by Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez-Boussard, Ewout Steyerberg, Yemisi Takwoingi, Vladica Velickovic, Jacqueline Dinnes

“…Our objectives were to identify and describe available risk prediction tools for PI occurrence, their content and the development and validation methods used. …”
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