Recurrence Rates of Pilonidal Sinus Disease Are High in Children and Recurrences Occur Exceedingly Early by Christina Oetzmann von Sochaczewski, Dietrich Doll

“…Although treatment algorithms have been developed to adapt treatment to this dire situation, relevant improvements can only be expected if the underlying factors that cause these recurrence dynamics in children, which are substantially different from those in adults, were to be uncovered.…”
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Automated reinforcement learning for sequential ordering problem using hyperparameter optimization and metalearning by André Luiz Carvalho Ottoni

“…Following this line, recently the area of Automated Reinforcement Learning (AutoRL) has become increasingly relevant, given the growing increase in applications for reinforcement learning algorithms. …”
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A scoping review and bibliometric analysis (ScoRBA) of machine learning in genetic data analysis: unveiling the transformative potential by Zakaria et al.

“…The important domains identified are Cancer Genomics, Bioinformatics, Precision Medicine, Disease Biomarkers, and Genetic Algorithms. These domains benefit from ML's data-driven insights, which have the potential to revolutionize healthcare and biomedical research. …”

Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals. by Timo Flesch, David G Nagy, Andrew Saxe, Christopher Summerfield

“…We augment standard stochastic gradient descent with two algorithmic motifs, so-called "sluggish" task units and a Hebbian training step that strengthens connections between task units and hidden units that encode task-relevant information. …”
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AI IN CYBER DEFENSE: PRIVACY RISKS, PUBLIC TRUST, AND POLICY CHALLENGES by Abdullah Azizi, Mohammad Qias Mohammadi, Abdul Wahid Samadzai

“…A systematic literature review (SLR) methodology was employed, synthesizing relevant academic studies, conference proceedings, and reports from credible databases, including IEEE Xplore, ACM Digital Library, and ScienceDirect. …”
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Structural Development of Russian Economy: Assessing the Condition and Prospects of Speeding-Up by O. V. Morozov, M. A. Vasiliev

“…The authors provide theoretical foundations of the research, indicators of structural development, the procedure and algorithms of their estimation. The criterion and quality model of passing-over from the actual condition to the optimal combination of sector scales were identified. …”
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Process mining in healthcare: a tertiary study by Adauto Santos, Gislaine Camila Lapasini Leal, Renato Balancieri

“…The Heuristics Miner and Fuzzy Miner algorithms were the most relevant, and oncology was the medical specialty in which process mining was most used. …”
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Electronic News Dataset for Native Advertisement Detection by Brian Rizqi Paradisiaca Darnoto, Daniel Siahaan, Diana Purwitasari

“…The nuanced identification and comprehension of native advertising necessitates advanced methodologies, underpinned by datasets that are both relevant and expansive, ensuring transparency in online environments. …”
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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

“…First, we observed that automatic heart-sound segmentation algorithms—commonly used for data augmentation—produce varying outcomes, raising concerns about the accuracy of both the segmentation process and the resulting classification performance. …”
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Trends in the causes of stillbirths over 20 years in Southern Japan by Emi Kino, Yohei Maki, Naoshi Yamada, Yuki Kodama, Shinji Katsuragi, Hiroshi Sameshima, Tsuyomu Ikenoue

“…The trends in stillbirths caused by “fetal growth restriction,” “abruption,” “asphyxia,” and “no relevant condition identified” significantly decreased. …”
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…Recall is enhanced by capturing critical features relevant to all attack types, while precision is improved by reducing false positives, leading to fewer unnecessary interventions. …”
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Investigation of criminal offences against property: typical investigative situations and problems of applying specialised knowledge by R. L. Stepaniuk, V. O. Husieva

“…It has been substantiated that the basis of any forensic methodology for investigating a particular type or group of criminal offences is the proposed algorithms for solving tactical tasks of the initial stage of investigation in typical investigative situations, as well as the specifics of conducting the most relevant procedural actions and forms of using special knowledge for the relevant type or group of criminal offences. …”
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The unwell patient with advanced chronic liver disease: when to use each score? by Oliver Moore, Wai-See Ma, Scott Read, Jacob George, Golo Ahlenstiel

“…Incorporating artificial intelligence to personalise predictive algorithms may provide the most effective prognostication for all clinical phenotypes. …”
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Congenital Ichthyosis: Clinical and Genetic Characteristics of the Disease by Nikolay N. Murashkin, Karine O. Avetisyan, Roman A. Ivanov, Svetlana G. Makarova

“…This review presents the modern classification of ichthyoses, provides data on disease clinical and genetic variants, diagnostic algorithms, treatment methods for patients with this severe disease.…”
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Genomic and Precision Medicine Approaches in Atherosclerotic Cardiovascular Disease: From Risk Prediction to Therapy—A Review by Andreas Mitsis, Elina Khattab, Michaella Kyriakou, Stefanos Sokratous, Stefanos G. Sakellaropoulos, Stergios Tzikas, Nikolaos P. E. Kadogou, George Kassimis

“…This review synthesizes recent advances in genomic and precision medicine approaches relevant to ASCVD, with a focus on genetic risk scores, lipid metabolism genes, and emerging gene editing techniques. …”
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Unveiling Nature’s Architecture: Geometric Morphometrics as an Analytical Tool in Plant Biology by Federica Spani, Vittoria Locato, Laura De Gara

“…Through high-resolution imaging and mathematical algorithms, GMM provides valuable insights into taxonomy, ecology, and evolution, making it increasingly relevant in plant science. …”
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Scientists yet to consider spatial correlation in assessing uncertainty of spatial averages and totals by Alexandre M.J.-C. Wadoux, Gerard B.M. Heuvelink

“…The remote sensing data typically serve as covariates to deliver spatially explicit information using machine learning algorithms. Often the uncertainty associated with the maps is also quantified, for instance by prediction error variance maps or by maps of the lower and upper limits of a prediction interval. …”
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An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction by Songpeng Zhao, Zeyuan Li, Changshuai Yin, Zhaofu Zhang, Teng Long, Jingjing Yang, Ruyue Cao, Yuzheng Guo

“…Key physicochemical features were extracted, and a hierarchical clustering model-driven hybrid feature selection strategy (HC-MDHFS) was employed to identify the most relevant descriptors. Three machine learning algorithms-Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Gradient Boosting (Gradient Boosting)-were integrated into a multi-level stacking ensemble, with Support Vector Regression serving as the meta-learner. …”
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CEREBRAL OXYMETRY IN HIGH RISK CARDIAC SURGERY: APPLICABILITY AND PROTOCOL OF THE CLINICAL TRIAL by P. P. Perovskiy, E. V. Fominskiy, V. A. Shmyrev, I. A. Kornilov, V. V. Likhvantsev, V. V. Lomivorotov

“…Currently it is being actively introduced into practice, management algorithms for cerebral oxygenation disorders are being developed basing on it, including the ones for cardiac surgeries. …”
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Comprehensive protein datasets and benchmarking for liquid–liquid phase separation studies by Carlos Pintado-Grima, Oriol Bárcenas, Eva Arribas-Ruiz, Valentín Iglesias, Michał Burdukiewicz, Salvador Ventura

“…Moreover, we describe limitations in classical and state-of-the-art predictive algorithms by providing the most comprehensive benchmark to date. …”
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