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A Longitudinal Multimodal Dataset of Type 1 Diabetes
Published 2025-08-01“…The dataset includes longitudinal (3-month) real-world data collected from 17 PwT1D participants. By making this resource available, the study aims to advance algorithm development and improve diabetes management, particularly in settings where AID technology is less accessible.…”
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Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points
Published 2025-05-01“…This database captures essential thermal characteristics of the battery module, allowing for accurate temperature predictions without exhaustive simulations. The Gappy POD algorithm is further enhanced by incorporating a correlation coefficient filtering technique, which identifies a minimal set of optimal measurement points to ensure high accuracy in the reconstructed temperature field while reducing sensor requirements. …”
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RETRACTED ARTICLE: Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnosti...
Published 2024-09-01“…Method We initially collected a large amount of genomic data, including gene expression profile and single nucleotide polymorphism (SNP) data, from the control group and Cervical cancer (CC) patients. …”
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Development experience of information system for ranking of academic and pedagogical staff
Published 2019-03-01“…As a result, the concept of an automated rating system of Plekhanov Russian University of Economics was based on the following design decisions: dynamic setting of indicators and algorithms of ranking, the dynamic configuration of the personal account of the rated academic and pedagogical staff, external configuring of control parameters, the possibility of creating extensible libraries of output forms, the use of Internet technologies.Results. …”
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Verifying the Effects of the Grey Level Co-Occurrence Matrix and Topographic–Hydrologic Features on Automatic Gully Extraction in Dexiang Town, Bayan County, China
Published 2025-07-01“…Erosion gullies can reduce arable land area and decrease agricultural machinery efficiency; therefore, automatic gully extraction on a regional scale should be one of the preconditions of gully control and land management. The purpose of this study is to compare the effects of the grey level co-occurrence matrix (GLCM) and topographic–hydrologic features on automatic gully extraction and guide future practices in adjacent regions. …”
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Identification of Changing Lower Limb Neuromuscular Activation in Parkinson’s Disease during Treadmill Gait with and without Levodopa Using a Nonlinear Analysis Index
Published 2015-01-01“…Analysis of electromyographic (EMG) data is a cornerstone of research related to motor control in Parkinson’s disease. Nonlinear EMG analysis tools have shown to be valuable, but analysis is often complex and interpretation of the data may be difficult. …”
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Effectiveness of an electronic clinical decision support system in improving the management of childhood illness in primary care in rural Nigeria: an observational study
Published 2022-07-01“…Objectives To evaluate the impact of ALgorithm for the MANAgement of CHildhood illness (‘ALMANACH’), a digital clinical decision support system (CDSS) based on the Integrated Management of Childhood Illness, on health and quality of care outcomes for sick children attending primary healthcare (PHC) facilities.Design Observational study, comparing outcomes of children attending facilities implementing ALMANACH with control facilities not yet implementing ALMANACH.Setting PHC facilities in Adamawa State, North-Eastern Nigeria.Participants Children 2–59 months presenting with an acute illness. …”
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Depression Recognition Using Daily Wearable-Derived Physiological Data
Published 2025-01-01“…For comparison, we also utilized data from fifty-eight matched healthy controls from a publicly available dataset, collected using the same devices over equivalent durations. …”
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Constructing a predictive model for acute mastitis in lactating women based on machine learning
Published 2025-08-01“…This study employed a retrospective case-control study approach and collected relevant data from 369 patients with acute mastitis and 447 healthy controls. …”
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Energy Optimisation of Industrial Limestone Grinding Using ANN
Published 2025-07-01“…In the next phase, black-box optimisation was performed using Bayesian and genetic algorithms to identify optimal mill operating settings. …”
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Cervical cancer prediction using machine learning models based on routine blood analysis
Published 2025-07-01“…In this restrospective study, medical records of patients from 2013 to 2023 were collected. A total of 2,503 patients diagnosed with CC were included in the case group, while the control group was composed of 3,794 patients without apparent signs of the disease, which included women with other gynecological conditions as well as healthy individuals undergoing routine check-ups. …”
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Development and validation of interpretable machine learning models for postoperative pneumonia prediction
Published 2024-12-01“…This study aimed to develop and validate a predictive model for postoperative pneumonia in surgical patients using nine machine learning methods.ObjectiveOur study aims to develop and validate a predictive model for POP in surgical patients using nine machine learning algorithms. By evaluating the performance differences among these machine learning models, this study aims to assist clinicians in early prediction and diagnosis of POP, providing optimal interventions and treatments.MethodsRetrospective data from electronic medical records was collected for 264 patients diagnosed with postoperative pneumonia and 264 healthy control surgical patients. …”
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Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models
Published 2025-01-01“…Trained using the light gradient boosting machine algorithm on clinical data from 1,927 KD cases and 45,274 febrile controls, KDpredictor achieved strong performance metrics (auROC: 95.7%, auPRC: 72.4%, recall: 0.89) on a reserved test set, outperforming previous models by at least 3% in auROC and 39.3% in auPRC. …”
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Machine learning‐based model for worsening heart failure risk in Chinese chronic heart failure patients
Published 2025-02-01“…Multiple machine learning (ML) algorithms were compared, and the results were interpreted using SHapley Additive exPlanations (SHAP). …”
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Design, development and manufacture of a small electric motor dynamometer
Published 2025-01-01“…Especially in this study, the chain drive has three stages with transmission ratios of 1/4, 1/3, and 1/2.5. Besides, a controller that can automatically adjust the electric load level to determine various motor characteristics under constant load and throttle settings is also designed to control the dynamometer and collect essential data. …”
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A Review on Machine Learning Models in Injection Molding Machines
Published 2022-01-01“…Some problems include data division, collection, and preprocessing steps, such as considering the inputs, networks, and outputs, algorithms used, models utilized for testing and training, and performance criteria set during validation and verification. …”
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