Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review. by Rabia Asghar, Sanjay Kumar, Arslan Shaukat, Paul Hynds

“…To date however, no review of these techniques and their application(s) within the domain of white blood cell (WBC) classification in blood smear images has been undertaken, representing a notable knowledge gap with respect to model selection and comparison. Accordingly, the current study sought to comprehensively identify, explore and contrast ML and DL methods for classifying WBCs. …”
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Preoxygenation strategies before intubation in patients with acute hypoxic respiratory failure: a network meta-analysis by Na Ye, Na Ye, Chen Wei, Jiaxiang Deng, Yingying Wang, Hongwen Xie

“…Data were extracted and analyzed using pairwise and network meta-analysis within a Bayesian framework. Model selection was based on the deviance information criterion (DIC).ResultsA total of 11 randomized controlled trials involving 2,874 patients were included. …”
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Bayesian Analysis of Complex Mutations in HBV, HCV, and HIV Studies by Bing Liu, Shishi Feng, Xuan Guo, Jing Zhang

“…Here we summarize Bayesian-based statistical approaches, including the Bayesian Variable Partition (BVP) model, Bayesian Network (BN), and the Recursive Model Selection (RMS) procedure, which are designed to detect the mutations and to make further inferences to the comprehensive dependence structure among the interactions. …”
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Topologically consistent regression modeling exemplified for laminar burning velocity of ammonia-hydrogen flames by Hui Du, Tianyu Wang, Haogang Wei, Guy Y. Cornejo Maceda, Bernd R. Noack, Lei Zhou

“…We expect that the proposed topologically consistent regression modeling will enjoy many more applications in model calibration, model selection and optimization algorithms.…”
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Study on the Effect of Surface Roughness on the Spectral Unmixing of Mixed Pixels by Haonan Zhang, Xingping Wen, Junlong Xu, Dayou Luo, Ping He

“…Multiple scattering within the pixels is the key to model selection and unmixing accuracy, when using the ASD FieldSpec3 spectrometer to perform spectral reflectance measurement and linear spectral unmixing experiments. …”
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A Comparative Study between Time Series and Machine Learning Technique to Predict Dengue Fever in Dhaka City by Tanzina Akter, Md. Tanvirul Islam, Md. Farhad Hossain, Mohammad Safi Ullah

“…This study is more innovative than any other research because this research approach is different from any other research approach. The model selection criteria are based on the most effective performance metrics MAPE, indicating the lowest error and better prediction performance. …”
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An optimized data analytics pipeline for improving healthcare diagnosis using ensemble learning by Lomat Haider Chowdhury, Shaira Tabassum, Swakkhar Shatabda, Ashir Ahmed

“…A combination of advanced preprocessing techniques and reliable model selection are required to address these challenges effectively. …”
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Empirical analysis of control models for different converter topologies from a statistical perspective by Hole Shreyas Rajendra

“…This variation increases the ambiguity of model selection under context-specific applications. To reduce this ambiguity, a detailed discussion about these models in terms of their context-specific nuances, qualitative advantages, deployment-specific limitations, and functional future scopes is described in this text. …”
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Impact of different car-following models on estimating safety and emissions on signal-controlled intersections using microscopic simulations by Konrad Biszko, Jacek Oskarbski, Karol Żarski

“…The observed differences underscore the importance of careful model selection and presented approach can serve as a foundation for developing guidelines for microscopic modelling and a multi-criteria approach to selecting the most effective implementation scenarios. …”
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Analysis of Sparse Trajectory Features Based on Mobile Device Location for User Group Classification Using Gaussian Mixture Model by Yohei Kakimoto, Yuto Omae, Hirotaka Takahashi

“…These findings suggest that sparse trajectories can still offer meaningful classification performance with appropriate feature design and model selection even without semantic information. This approach holds promise for domains where large-scale, sparse trajectory data are common, including urban planning, marketing analysis, and public policy.…”
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Late initiation of antenatal care visit amid implementation of new antenatal care model in Sub-Saharan African countries: A multilevel analysis of multination population survey dat... by Kusse Urmale Mare, Gashaye Gobena Andargie, Abdulkerim Hassen Moloro, Ahmed Adem Mohammed, Osman Ahmed Mohammed, Beriso Furo Wengoro, Begetayinoral Kussia Lahole, Tesfahun Simon Hadaro, Simeon Meskele Leyto, Petros Orkaido Mamo, Abdulhakim Hora Hedato, Beminate Lemma Seifu, Temesgen Gebeyehu Wondmeneh, Oumer Abdulkadir Ebrahim, Kebede Gemeda Sabo

“…A multilevel logistic regression models were fitted and likelihood and deviance values were used for model selection. In the regression model, we used adjusted odds ratios along with their corresponding 95% confidence intervals to determine the factors associated with late antenatal care visit.…”
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Humanized Mouse Models for Immuno-Oncology Research: A Review and Implications in Lung Cancer Research by Cheol-Kyu Park, MD, PhD, Maryam Khalil, BSc, Nhu-An Pham, PhD, Stephanie Wong, BSc, Dalam Ly, PhD, Adrian Sacher, MD, FRCPC, Ming-Sound Tsao, MD, FRCPC

“…We highlight the various approaches to generate them, factors that are critical to successfully establishing such models, their respective limitations, and considerations in model selection for preclinical lung cancer immuno-oncology research and therapeutic studies.…”
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Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis) by Bradley Erdman, Wesley Larson, Matthew G. Mitro, Joanna D. T. Griffin, David Rowe, Justin Haglund, Kirk Olson, Michael T. Kinnison

“…If this is the case, then commonly used genomic clustering methods and their associated model selection criteria may result in underestimation of hatchery introgression in the face of rapid drift.…”
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Machine Learning in the Management of Patients Undergoing Catheter Ablation for Atrial Fibrillation: Scoping Review by Aijing Luo, Wei Chen, Hongtao Zhu, Wenzhao Xie, Xi Chen, Zhenjiang Liu, Zirui Xin

“…While guiding data preparation and model selection for future studies, this review highlights the need to address prevalent limitations, including lack of external validation, and to further explore model generalization and interpretability.…”
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Protocol for the systematic review of age and sex in preclinical models of age-correlated diseases [version 2; peer review: 2 approved] by Céline Heinl, Ines Schadock, Maximilian Wurm, Paul Lucas Wildner, Daniel Butzke, Bettina Bert, Alexandra Bannach-Brown, Matthias Steinfath, Kai Diederich

“…Maximizing translation should be central to animal research on human diseases, guiding researchers in study design and animal model selection. However, practical considerations often drive the choice of animal model, which may not always reflect key patient characteristics, such as sex and age, impacting the disease's course. …”
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Estimates of disclosure and victimization rates for fishery observers in the maritime workplace by Lacey Jeroue, Lacey Jeroue, Craig Faunce, Andy Kingham, Jaclyn Smith

“…By adjusting the annual counts of observers who submitted official harassment statements with these estimated disclosure rates, we provide the first estimates of the true number of victimized observers (prevalence) each year in a federal fisheries monitoring program in the United States. Model selection suggested that disclosure was influenced by the type of harassment experienced and not by observer demographics or employment year. …”
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Quality of life and clinical correlates in cognitively-able autistic adults: A special focus on sensory characteristics and perceived parental support by Chun-Yi Lin, Yi-Lun Wu, Yi-Ling Chien, Susan Shur-Fen Gau

“…QoL was significantly associated with autistic symptom severity, harm avoidance, family support, sensory symptoms, anxiety, and depression, but not intelligence. Model selections revealed male sex, poor paternal support, autism severity, depression, anxiety, and sensory symptoms were associated with specific QoL domains. …”
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Indirect treatment comparison of lanadelumab and a C1-esterase inhibitor in pediatric patients with hereditary angioedema by Maureen Watt, Rachel Goldgrub, Mia Malmenas, Katrin Haeussler

“…To avoid convergence issues and an underpowered analysis due to the small sample size (n = 29), the base case was defined as Poisson regression analyses on monthly attack rate adjusting for one covariate (baseline attack rate). Model selection among unadjusted, adjusted and weighted regression models was conducted through the Akaike and Bayesian Information Criteria. …”

ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling by Soosan Beheshti, Mahdi Shamsi

“…Simulation results, for both synthetic and real data, confirm not only strength and capability of <inline-formula> <tex-math notation="LaTeX">$\epsilon $ </tex-math></inline-formula>-CoAC in providing learning measurements as a function of data length and/or hypothesis complexity, but also superiority of the method over the existing approaches in hypothesis complexity and model selection.…”
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Nesting population trend of the leatherback sea turtle in Bocas del Toro province and Comarca Ngäbe-Buglé, Panama for the period 2002–2022 by Sonia Gutiérrez Parejo, Susan E. Piacenza, Raúl García, Cristina Ordóñez, Roldán A. Valverde

“…We used the Information-Theoretic approach for model selection, based on Akaike’s Information Criterion correction for small sample sizes, using linear regression to assess population trends and discrete rate of population growth (λ). …”
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