Logistic Regression Model Using Scheimpflug-Placido Cornea Topographer Parameters to Diagnose Keratoconus by Emre Altinkurt, Ozkan Avci, Orkun Muftuoglu, Adem Ugurlu, Zafer Cebeci, Kemal Turgay Ozbilen

“…The LRA model, which had the highest prediction ability, had 97.5% accuracy, 96.8% sensitivity, and 99.2% specificity. …”
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Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN by Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa

“…Hence, this study proposes a new HD classification accuracy prediction approach using the Polynomial Jacobian Matrix-based Deep Jordan Recurrent Neural Network (PJM-DJRNN). …”
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Open Issues in Statistical Forecasting of Solar Proton Events: A Machine Learning Perspective by Mirko Stumpo, Simone Benella, Monica Laurenza, Tommaso Alberti, Giuseppe Consolini, Maria Federica Marcucci

“…Nevertheless, we demonstrate that a relevant FAR on the predictions is a natural consequence of the sample base rates. …”
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Application of Biofire Filmarray Joint Infection Panel for Rapid Identification of Aetiology in a Necrotizing Fasciitis Case by Zoltán Tóth, Bence Balázs, Walter P. Pfliegler, Eszter Csoma, László Majoros, Dorka Szűcs, Renátó Kovács

“…<b>Methods</b>: Here, we report the application of the BioMérieux Biofire Filmarray Joint Infection Panel (BFJIP) for the rapid detection of the causative agent and susceptibility prediction in such a case. Aside from the BFJIP-based rapid diagnostic approach and culturing, the whole genome sequencing (WGS) of the causative agent was performed using Illumina MiSeq and Oxford Nanopore MinION platforms. …”
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Non-invasive ML methods for diagnosis of congenital heart disease associated with pulmonary arterial hypertension by Yuyang Gao, Pengyue Ma, Jiahua Pan, Hongbo Yang, Tao Guo, Weilian Wang

“…It is hoped that it will provide insight into prediction of CHD-PAH. Thus saving people from death due to untimely assistance.…”
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Exploring the mechanism of Schisandra rubriflora in the treatment of polycystic ovary syndrome based on network pharmacology and molecular docking by Zhengyan Dou, Qingxian Li, Jing Zhang, Xin Zhang

“…Materials and methods HERB database and SwissTargetPrediction database were used to obtain the active components and the targets of S. rubriflora. …”
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Modeling the Dynamic Variability of Sub‐Relativistic Outer Radiation Belt Electron Fluxes Using Machine Learning by Donglai Ma, Xiangning Chu, Jacob Bortnik, Seth G. Claudepierre, W. Kent Tobiska, Alfredo Cruz, S. Dave Bouwer, Joseph F. Fennell, J. Bernard Blake

“…The models have reliable prediction capability and can be used for a wide range of space weather applications. …”
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Multiomics Integrated Analysis Identifies SLC24A2 as a Potential Link between Type 2 Diabetes and Cancer by Qin Bian, Haijun Li, Xiaoyi Wang, Tingting Liang, Kai Zhang

“…Least absolute shrinkage and selection operator was utilized to build a T2D prediction model. Timer and K-M plotters were employed to find the expression and prognosis of SLC24A2 in pan cancer. …”
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Efficient and accurate machine learning models for volume of fluid (VOF) simulation on uniform Cartesian mesh by Mostafa A. Rushdi, Shigeo Yoshida, Changhong Hu, Tarek N. Dief, Abdulrahman E. Salem, Mohamed M. Kamra

“…Our key contribution is the development of a robust ML model capable of reliably predicting interface orientation angles on uniform Cartesian grids. …”
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Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy by Saber Imani, Xiaoyan Li, Keyi Chen, Mazaher Maghsoudloo, Parham Jabbarzadeh Kaboli, Mehrdad Hashemi, Mehrdad Hashemi, Saloomeh Khoushab, Saloomeh Khoushab, Xiaoping Li

“…We discuss how accurate predictions of neoantigen structures guide the design of mRNA sequences that effectively target immune and cancer cells. …”
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Risk factors for bloodstream infection in COVID-19 patients in intensive care units: a systematic review and meta-analysis by Jun Wang, Ting Jiang

“…In future studies, these factors can be combined to establish a more comprehensive and accurate prediction model for ICU-BSI in COVID-19 patients. Targeted measures can be taken earlier to control BSI.…”
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Emodin Ameliorates Intestinal Dysfunction by Maintaining Intestinal Barrier Integrity and Modulating the Microbiota in Septic Mice by Mina Zhang, Bo Lian, Rui Zhang, Yuhong Guo, Jingxia Zhao, Shasha He, Yunjing Bai, Ning Wang, Yan Lin, Xuerui Wang, Qingquan Liu, Xiaolong Xu

“…Moreover, data according to functional prediction showed that emodin decreased the abundance of potential pathogenic bacteria in gut. …”
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A Machine Learning Approach for the Autonomous Identification of Hardness in Extraterrestrial Rocks from Digital Images by Shuyun Liu, Haifeng Zhao, Zihao Yuan, Liping Xiao, Chengcheng Shen, Xue Wan, Xuhai Tang, Lu Zhang

“…This research proposes a machine-learning approach to predict extraterrestrial rock hardness using morphological features. …”
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Key oncogenes and candidate drugs for hepatitis-B-driven hepatocellular carcinoma progression by Liqin Ruan, Ningbo Fang, Xinhua Zhao, Weili Chen, Zhaoping Wu, Xiaoyong Wu

“…Using the 8 HB-LC genes, we constructed prognostic models for survival prediction of HBV positive patients with LIHC and performed enrichment analysis, interaction analysis, immune infiltration analysis, and potential drug digging from the GTRP and GDSC databases. …”
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Big Data-Based Boring Indexes and Their Application during TBM Tunneling by Shuangjing Wang, Yujie Wang, Xu Li, Lipeng Liu, Hai Xing, Yunpei Zhang

“…Subsequently, the defined boring indexes are verified using performance prediction of 291 cyclic tunneling processes. Finally, a preliminary application of support measure suggestions is conducted using the statistical features of boring indexes, where certain criteria are proposed and verified. …”
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On Ve-Degree and Ev-Degree Topological Properties of Hyaluronic Acid‐Anticancer Drug Conjugates with QSPR by Syed Ajaz K. Kirmani, Parvez Ali, Faizul Azam, Parvez Ahmad Alvi

“…Recently introduced ve-degree and ev-degree topological indices have been successfully employed for development of models for the prediction of various biological activities/properties. …”
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The Effect of Task Cognitive Difficulty on Perceptual-Cognitive Indicators: Evidence on the Relationship Between Challenge Point Framework (CPF) and Cognitive Development in Table... by Taghi MM, Aghdaei M, Farsi A, Badicu G, de Sousa Fernandes MS, Yagin FH, Ardigò LP

“…But there was no significant difference between the groups.Discussion: These findings suggest that cognitive task difficulty, much like functional difficulty, aligns with predictions from the CPF, enhancing executive control and cognitive effort, and thereby supporting motor learning.Conclusion: Cognitive difficulty, like functional difficulty, takes advantage of the challenge point framework and improves cognitive–cognitive indicators.Keywords: task difficulty, attention networks, cognitive effort, challenge point, table tennis…”
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Weather identification using models based on deep learning by Afroza Nahar, Rifat Al Mamun Rudro, Bakhtiar Atiq Faisal, Md. Faruk Abdullah Al Sohan, Laveet Kumar

“…Predictions, extraction of features, and fine-tuning of models were achieved with an accuracy of up to 83.39%. …”
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A systematic mapping to investigate the application of machine learning techniques in requirement engineering activities by Shoaib Hassan, Qianmu Li, Khursheed Aurangzeb, Affan Yasin, Javed Ali Khan, Muhammad Shahid Anwar

“…Those activities are requirements analysis, failure prediction, effort estimation, quality, traceability, business rules identification, content classification, and detection of problems in requirements written in natural language. …”
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Probabilistic Short‐Term Solar Driver Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…We introduce methods using long short‐term memory (LSTM) model ensembles to improve over the current prediction method as well as a previous univariate approach. …”
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