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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation
Published 2024-12-01“…Therefore, we used several established MCMC convergence diagnostics to (1) quantify how algorithm parameters affect ensemble flow values and if these differences propagate to ecological indicators and (2) evaluate algorithm quality and compare to current evaluation and ecosystem modelling methods. …”
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A Superpixel-Based Algorithm for Detecting Optical Density Changes in Choroidal Optical Coherence Tomography Images of Diabetic Patients
Published 2025-06-01“…The algorithm was applied to isolate the choroid layer for analysis of its optical properties. …”
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224
Normalised Diagnostic Contribution Index (NDCI) Integration to Multi Objective Sensor Optimisation Framework (MOSOF)—An Environmental Control System Case
Published 2025-04-01“…Validation against the Minimum Redundancy Maximum Relevance (mRMR) method highlights the distinct advantage of NDCI by identifying an optimal set of three sensors compared to mRMR’s six-sensor solution, and MOSOF’s multi-objective insertion enhances sensor deployment for different stakeholders. This integration not only expands the feasible solution space for sensor-pair configurations but also emphasises diagnostic value over redundancy. …”
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Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets
Published 2025-07-01“…Trajectory analysis indicated differentiation from B cells, first to low, then high propionate metabolism PCs. Finally, the LASSO algorithm identified 13 key genes, with the CatBoost model achieving perfect diagnostic performance (AUC = 1.000). …”
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Predicting the impact of patient and private provider behavior on diagnostic delay for pulmonary tuberculosis patients in India: A simulation modeling study.
Published 2020-05-01“…We employed the estimated model to simulate different counterfactual scenarios of diagnostic pathways under altered behavioral characteristics of providers and patients to predict their potential impact on the diagnostic delay. …”
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227
Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study
Published 2025-05-01“…Conclusion Actigraphy accurately identifies different dementia etiologies and could serve as a supplement to diagnostic investigations in patients with suspected AD for differential diagnostic purposes.…”
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228
HIV testing algorithm using fourth generation reagents reduces the false positive rate of screening tests
Published 2025-04-01“…The responsive samples were retested using the Determine HIV Early Detect assay (Abbott Diagnostic) and the Elecsys® HIV DUO assay (Roche Diagnostic). …”
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Comparison of radiological interpretation made by veterinary radiologists and state-of-the-art commercial AI software for canine and feline radiographic studies
Published 2025-02-01“…AI's promise comes from improving human diagnostics or providing good diagnostics at lower cost, increasing access. …”
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Transitional loss of consciousness as an interdisciplinary problem of diagnosis
Published 2023-10-01“…The problem of paroxysmal disorders of consciousness is interdisciplinary in nature and requires the combined efforts of doctors of different specialties to develop a unified algorithm for clinical, laboratory and instrumental diagnostics, determine management tactics and correct patient routing.…”
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Gait-Based Parkinson’s Disease Detection Using Recurrent Neural Networks for Wearable Systems
Published 2025-07-01“…The development of diagnostic support tools can support early detection and facilitate timely intervention. …”
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A Differential Biomarker Based on Recurrence Quantification Analysis of EEG Signal and Genetic Algorithm for Epilepsy Diagnosis
Published 2024-06-01“…In this study, RQA was used to distinguish between ictal and normal EEGs, utilizing a combination of Bayesian classifiers and genetic algorithms to select optimal RQA features. Recurrence plots were generated using five different distance norms (Mahalanobis, maximum, minimum, and Manhattan) and 10 threshold levels (εmin = 0.1, εmax = 1, ∆ε = 0.1) for each signal category, totaling one hundred samples. …”
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Intelligent implementation of muscle strain identification algorithm in Mi health exercise induced waist muscle strain
Published 2025-08-01“…This algorithm can maintain good recognition performance on different devices and has strong adaptability. …”
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Systematic Review and Meta-Analysis on the Accuracy of Artificial Intelligence Algorithms in Individuals Gender Detection Using Orthopantomograms
Published 2025-06-01“…The study included research articles that utilised AI algorithms for gender detection based on OPG images. …”
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Agreement Between Medico-Administrative Database Algorithms and Survey-Based Diagnoses for Depression and Anxiety in Older Adults
Published 2025-06-01“…<b>Objectives</b>: This study aimed to assess the concordance between depression and anxiety case definitions derived from algorithms based on medico-administrative data and structured interviews aligned with the fourth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria in older adults. …”
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An algorithm for annotation and classification of T. cruzi MASP sequences: towards a better understanding of the parasite genetic variability
Published 2025-02-01“…Validation against a rigorously annotated dataset demonstrated high accuracy, and allowed us to reclassify misanotated sequences and, more crucially, to accurately identify previously unrecognized canonical MASPs and MASP chimeras. This algorithm was then used to explore the MASP repertoire in the genomes of 13 parasite strains from different evolutionary lineages, revealing patterns of diversity. …”
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