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6 articles for “predictive scoring system”
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Comparison of predictive ability of stroke-associated pneumonia risk scores in acute hemorrhagic stroke
Abstract: Objective: To determine the best scoring system among 5 scores (Pneumonia score, PANTHERIS, ISAN score, A2DS2, ACDD4) for prediction of pneumonia after acute haemorrhagic stroke in Stroke Centre. Subjects and Methods: We carried out retrospective study of 508 patients with acute haemorrhagic stroke admitted to Department of Neurology of Pyongyang medical university from January 1, 2018 to August 1, 2022. Demographic and clinical traits of patients were collected and analysed. …
Published in International Journal of Nursing Critical Care · Vol. 10, Issue 2, 2024 · pp. 12–19 Read article
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Predicting Mortality in Burn Patients in A Tertiary CareSetting Using the Revised Baux Score
Abstract: Burns are a significant risk factor contributing to mortality and morbidity, especially in underdevelopednations. While innovations in burn patient management have considerably reduced mortality rates indeveloped countries, the fatality rates remain unacceptably high in underdeveloped regions where theseadvancements have not been widely adopted or implemented. Accurate prediction of outcomes forsevere burn patients at the time of presentation is crucial for guiding clinical decisions and improvingpatient management. In developed countries, several …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 1, 2024 · pp. 27–32 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Prediction of Perineal Trauma During Childbirth By Assessment of Striae Gravidarum Score
Abstract: Perineal trauma is a common complication during vaginal childbirth, often resulting in short- and long-term maternal morbidity. Early prediction of women at risk can aid in preventive strategies and improve maternal outcomes. Striae gravidarum, commonly known as stretch marks, are skin changes that occur during pregnancy due to hormonal, mechanical, and genetic factors. Recent studies have suggested that the presence and severity of striae gravidarum may be associated with the …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 11, Issue 1, 2025 · pp. 11–23 Read article
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Cost-Constrained Sensor Reduction for Deployment AwareIoT-Based Multiclass Water Quality Monitoring
Abstract: Large-scale Internet of Things deployment for water quality monitoring systems is bounded by the capital and several other costs associated with the multi-dimensional sensor. While prior research demonstrates strong predictive performance using multi- parameter physicochemical sensing, limited attention has been given to explicit sensing cost constraints and deployment feasibility. This work formulates multiclass water quality classification as a cost-constrained learning problem in which sensing dimensionality is minimized subject to bounded …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article