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15 articles for “logistic regression”
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Flood Susceptibility Modeling Using Logistic Regression in QGIS Environment
Abstract: Abstract Flood is the most common natural disaster of Sri Lanka. Sri Lanka is suffering from extensive flood events more frequently than previously due to climatic changes. Due to rapid urbanization, there are limited land resources to live in Kalutara district which is not prone to flood events. This research aims to model the flood susceptibility in Kalutara district Sri Lanka which is having frequent flood events using Logistic Regression …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 1–11 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Appropriate Complementary Feeding Practice and Associated Factors among Mother of Children 6–23 Months in Mettu Town, South West Ethiopia
Abstract: Introduction: An appropriate diet is a critical component for proper growth and development of children. The first two years of life are a critical window for ensuring optimal child growth and development and Nutritional deficiencies during this period can lead to impaired cognitive development, compromised educational achievement, and low economic productivity which become difficult to reverse later in life. Objective: the aim of the study is to assess the appropriate …
Published in International Journal of Pediatric Nursing · Vol. 5, Issue 1, 2019 · pp. 52–62 Read article
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High Blood Pressure and Occupational Exposure to Antineoplastic Agents Among Healthcare Professionals
Abstract: Objective: The aim of our study was to determine prevalence and risk for high blood pressure (HBP) among personnel exposed to antineoplastic agents (drugs, ADs) among healthcare workers. Materials and methods: We conducted a descriptive analytical study of 108 exposed to antineoplastic agents in 5 oncology departments and 326 unexposed subjects. All subjects completed a medical and occupational questionnaire. We estimated exposure to ADs using exposure time and the cytotoxic …
Published in International Journal of Cardiovascular Nursing · Vol. 9, Issue 1, 2023 · pp. 29–39 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Ethical Issues and Implementation Challenges of Artificial Intelligence in ICU Care: A Critical Nursing Perspective
Abstract: Background: The integration of Artificial Intelligence (AI) in Intensive Care Units (ICUs) is rapidly advancing, with AI showing potential to improve patient outcomes by enhancing monitoring, predicting deterioration, and optimizing clinical decision-making. Despite its promise, the implementation of AI in critical care environments raises ethical and practical concerns. This study aims to evaluate the impact of AI on ICU outcomes and explore the associated ethical and implementation challenges. Objective:To assess …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Genre Classification of Music Using Machine Learning
Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article
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Health Care System Analysis Using Different Datasets
Abstract: In this research work, we have discussed data science and various machine learning algorithms like KNN, Support Vector Machine, Artificial neural network, Random forest etc. and the results obtained from these algorithms which can be used for the prediction of heart disease, cancer and in many other fields of medical science. Requirement of data cleaning along with various methods of data cleaning are mentioned here, along with these various issues …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 29–37 Read article
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System for Predicting and Recommending Placement on Campus
Abstract: The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article
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Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification
Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Risk Factors of Hypertension among Refugees in Gaza Strip-Palestine – Case Control Study
Abstract: Background: hypertension constitutes a major public health problem in the Middle East and other countries. There should be an effective management via introduction of preventive and health education measures. The main aim of this study was to identify the risk factors of hypertension among refugees in the Gaza Strip.Materials and methods: A case-control study design was adopted to conduct this study within the period June – November 2020. The study …
Published in International Journal of Cardiovascular Nursing · Vol. 7, Issue 2, 2021 · pp. 26–33 Read article
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Determinants of Acute Malnutrition among Children Aged 6–59 Months Attending Public Health Facilities in Illu Aba Bor Zone, South West Ethiopia: A Case Control Study
Abstract: Background: Globally, 55 million children are suffering from acute malnutrition and every year 3.1 million children die of malnutrition. In Ethiopia malnutrition among under five years children is one of the challenge in achieving sustainable development goals in reducing child mortality. Objective: The objective of this study is to determine the factors associated with acute malnutrition among children 6–59 months of age attending public health facilities in Illu Aba Bor …
Published in International Journal of Pediatric Nursing · Vol. 5, Issue 1, 2019 · pp. 67–78 Read article
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Magnitude of unwanted pregnancy and associated factors among young female students of Mettu University
Abstract: Introduction: Unwanted pregnancy poses a major and continuing social and health challenge in Africa, accounting for more than a quarter of the 40 million pregnancies that occur annually in the region. Objective: The main aim of this study was to assess the prevalence of unwanted pregnancy and its associated factors among young female students of Mettu University, 2017. Methods: An institution based cross sectional descriptive study design was used. A …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 4, Issue 1, 2018 · pp. 7–12 Read article
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Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article