Identification of novel potential biomarkers using bulk RNA and single cells to build a neural network model for diagnosis of liver cancer by Yingzheng Gao, Jiahao Chen, Weidong Du

“…Immune infiltration analysis determined that these central genes were closely associated with different types of immune cells. The results of immunohistochemistry and the results at the single cell level were consistent with those at the transcriptome level, and also showed obvious differences between different cell types in liver cancer and healthy states. …”
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Dagnostics of hydraulic drive of airfield equipment by I. V. Leskovets, A. A. Grats, V. D. Rogozhyn

“…The article presents an overview of modern diagnostic methods for mobile machines. The directions of diagnosis are outlined: with the applications of algorithms based on the use of a complex of controllers designed to collect and store up-to-date diagnostic information; with the help of artificial intelligence allowing to perform step-by-step diagnostics on current information about the speed of hydraulic motors, pressure and fluid velocity. …”
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Application of the method of insignificant divergences to diagnose the technical aircraft gas turbine engine state under the transient-state conditions of its operation by O. F. Mashoshin, I. G. Kharmats

“…It is shown that, despite the structural similarity of linear models of the steady and transient-state processes, diagnostics by means of the stated above processes is based on completely different principles – under the steady-state condition, the classification of a technical condition is determined by the variation in the value of the group of controlled responses, and under the transient-state condition, this operation is based on correlating the change in the transient-state behavior. …”
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ESTIMATION OF SOFTWARE COMPLEXITY OF CALCULATION OF AUTOREGRESSION COEFFICIENTS AT DIGITAL SPECTRAL ANALYSIS by Andrey Zuev, Andrey Ivashko, Denis Lunin

“…The aim of the article – comparative analysis of the speed of different algorithms for calculating the coefficients of autoregression as part of the algorithms of spectral analysis, including analysis of the complexity of their microcontroller implementation. …”
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Development and validation of a model to identify polycystic ovary syndrome in the French national administrative health database by Eugénie Micolon, Sandrine Loubiere, Appoline Zimmermann, Julie Berbis, Pascal Auquier, Blandine Courbiere

“…Conclusion The validity of the PCOS diagnostic algorithm in women undergoing reproductive health care was acceptable. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…We use machine learning (ML) algorithms, including Random Forest, Logistic Regression, and Support Vector Machine, to evaluate the diagnostic power of the brain features and network patterns in differentiating the PD subtypes and distinguishing PD from HC. …”
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What is the role of artificial intelligence in general surgery? by Seung Min Baik, Ryung-Ah Lee

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The study of thermodynamic mechanisms of advection-cooled sea fogs for two cases based on the WRF model by Xin-Ya Ye, Fei-Fei Shen, Fei-Fei Shen, Fei-Fei Shen, Hai-Yan Fei, Qi-Long Sun, Ai-Qing Shu, Shen Wan, He Chen

“…The results suggest that regional fog forecasting can benefit from a synergistic thermodynamic-dynamic diagnostic framework. Understanding these differences enhances the ability to forecast fog development under varying meteorological backgrounds.…”
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Efficient brain tumor grade classification using ensemble deep learning models by Sankar M, Baiju BV, Preethi D, Ananda Kumar S, Sandeep Kumar Mathivanan, Mohd Asif Shah

“…Complete applicability of pre-written computerized diagnostics, affords high possibilities in providing areas of interest earlier through the application of machine learning techniques and algorithms. …”
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Plant photosynthesis in basil (C3) and maize (C4) under different light conditions as basis of an AI-based model for PAM fluorescence/gas-exchange correlation by Isabell Pappert, Stefan Klir, Luca Jokic, Celine Ühlein, Khanh Tran Quoc, Ralf Kaldenhoff

“…XGBoost, a gradient-boosted decision tree algorithm, efficiently captures nonlinear interactions between physiological and environmental parameters. …”
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Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in... by Christine Ngaruiya, Zainab Samad, Salma Tajuddin, Zarmeen Nasim, Rebecca Leff, Awais Farhad, Kyle Pires, Muhammad Alamgir Khan, Lauren Hartz, Basmah Safdar

“…This dataset included patients admitted and discharged between January 1, 1988, and December 31, 2018, who were older than 18 years with a primary discharge diagnosis of AMI (using ICD-9 [International Classification of Diseases, Ninth Revision], diagnostic codes). The methodology used a fuzzy keyword-matching algorithm to extract AMI symptoms from the discharge summaries automatically. …”
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Detection of Mycobacterium tuberculosis in sputum in patients coinfected with HIV / tuberculosis by various methods (literature review) by I. B. Viktorova, S. Yu. Degtyareva, E. I. Kulabukhova, E. N. Beloborodova, V. N. Zimina

“…Predictors of positive  growth of Mycobacterium tuberculosis from sputum under negative  microscopy in this category of patients are considered. The  experience of different countries of the world on the effectiveness of  various diagnostic algorithms for detecting tuberculosis in HIV/TB  co-infection and the role of molecular-genetic methods in the  diagnosis of tuberculosis are discussed. …”
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HerediVar and HerediClassify: tools for streamlining genetic variant classification in hereditary breast and ovarian cancer by Anna-Lena Katzke, Marvin Doebel, Jan Hauke, Gunnar Schmidt, Marc Sturm

“…Abstract Background Multiple different evidence types as well as gene-specific variant classification guidelines need to be considered during the classification of variants, making the process complex. …”
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Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała, Krzysztof Kolano

“…A comparative analysis of the fault detection performance of seven different machine learning algorithms was conducted. …”
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A hybrid bio-inspired augmented with hyper-parameter deep learning model for brain tumor classification by Morolake Oladayo Lawrence

“…The CNN model is adjusted for different convolutional layers and fully connected layers to identify patterns and features in brain tumor pictures using an enhanced salp swarm algorithm (SSA) with kernel extreme learning machine (KELM). …”
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Optimizing Fall Risk Diagnosis in Older Adults Using a Bayesian Classifier and Simulated Annealing by Enrique Hernandez-Laredo, Ángel Gabriel Estévez-Pedraza, Laura Mercedes Santiago-Fuentes, Lorena Parra-Rodríguez

“…The aim of this study was to improve the diagnostic ability of fall risk classifiers using a Bayesian approach and the Simulated Annealing (SA) algorithm. …”
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Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance by Ziyuan Zhong, Junyang Zhou

“…In this study, we propose an innovative dynamic classification algorithm aimed at achieving zero missed detections and minimal false positives, critical in safety-critical domains (e.g., medical diagnostics) where undetected cases risk severe outcomes. …”
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Analysis of Electrical Machines’ State by Measuring the Interturn Resistance in Its Windings by A. V. Isaev, U. V. Suchodolov, K. A. Lyubinsky, A. I. Golubovich

“…The aim of the work was to develop a method and construct a device that allows measuring interturn resistances in the electrical machines’ windings without the need to remove it from the technological process, and thereby assess its current and future performance.A block diagram of a device for measuring of interturn resistances in the electrical machines’ windings has been developed, a method has been described, and an algorithm for carrying out diagnostic procedures has been developed. …”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Then, we applied wavelet transform (WT) to capture the time-frequency characteristics of the signals and extract energy features and created a feature set comprising 30 features and selected 10 most relevant ones using the “SelectKBest” function.We compared six algorithms, optimized their parameters, and evaluated the stability and fitting performance of each algorithm. …”
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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…The solution of problems of diagnostics of windings of electric machines is associated with the necessity of selection of quasi-periodic test signals against the background noise. …”
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