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1733 articles for “Predicting”
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Suicide Prediction Using Sentimental Analysis of Tweets: A Survey Paper
Abstract: Abstract: Committing suicides is very common all over the world. A study by WHO says that there is one death in every 20 sec. We will explore various works conducted by different scholars in order to make an introductory guide for the research to be conducted in future.Keywords: Tweets, sentimental analysis, suicide prediction, Naïve Bayes, Decision TreeCite this Article: Musadiq Islam, Aman Sheheryar. Suicide Prediction Using Sentimental Analysis of Tweets: …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 3, 2019 · pp. 8–11 Read article
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Anti-inflammatory Potentials of Various Oxine Compound Series as Cyclooxygenase-2 (COX-2) and Lipoxygenase (LOX) Inhibitors: Induced-Fit Molecular Docking and Pharmacokinetic Prediction Studies
Abstract: The present investigation is an exploration of multiple oxine series in inhibiting crucial anti-inflammatory targets such as cyclooxygenase-2 (COX-2) (PDB ID: 3LN1) and lipoxygenase (LOX) (PDB ID: 1N8Q) by employing the Glide module of Maestro 9.1 software for induced fit docking (IFD). The study also focuses in exploration towards the essential pharmacokinetic parameters (QPlogPo/w, QPlogS, predicted aqueous solubility, QPPCaco, QPPMDCK, and percentage of human oral absorption). The study highlighted the …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 3, 2018 · pp. 16–23 Read article
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Pf Phosphatidylserine decarboxylase: Molecular modeling and inhibithors prediction
Abstract: Plasmodium falciparum (P.f) is a protozoan parasite responsible for the most severe and deadly form of malaria. The resistance of Pf to last resort antimalarial drugs has been reported, there is an urgent need to identify new therapeutic candidates for drug development. Advancements in bioinformatics technologies provide potential cost and time-effective solutions for predicting therapeutic candidates. Phosphatidylserine decarboxylase (PSD) is a member of the lyase family (more specifically, the carboxy-lyases), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 60–78 Read article
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Knowledge, Attitude and Practice Towards Utilization of Long-Acting Contraceptive Methods and Predictors of Utilization among Reproductive Age Group Women in Addis Ababa Public Health Centers, Ethiopia.
Abstract: Long-acting contraceptives (LACs) such as intrauterine devices and hormonal implants are among the most effective methods that prevent unintended pregnancies. The methods are more convenient to clients who want to space or limit their births. But, their utilization is still very low and there is no strong evidence about the factors contributed to the low utilization level. The present study was undertaken to assess the utilization of LAC methods and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 6, Issue 2, 2016 · pp. 6–11 Read article
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Prediction of Resectability and Surgical Outcome of Periampullary Tumors
Abstract: Background: Pancreatic cancer is a devastating malignancy with nearly as many deaths as newly diagnosed cases each year with 5-years overall survival rate approximately 7%. Our aim was to assess prediction of respectability of patients with periampullary tumors to avoid unnecessary laparotomy in inoperable patients and evaluation of early outcome of surgical intervention. Methods: 23 patients were included in this study. All the patients were subjected to assessment by contrast …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 1, 2018 · pp. 14–21 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Graph Neural Networks for Molecular Scale Property Prediction and Inverse Design of Thermoset Polymer Nanocomposites: A Computational Framework
Abstract: Thermoset polymer nanocomposites exhibit properties that are highly sensitive to molecular scale formulation decisions, yet the vast design space remains largely unexplored because of the high cost of experimental characterisation and fully atomistic simulation. This paper presents TNC GNN, a dual mode graph neural network framework developed for the computational design of thermoset nanocomposite formulations. The forward module employs an attention augmented Message Passing Neural Network with 3D geometric encoding …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Using Machine Learning to Analyse Football Teams and Predict the Outcome of a Football Match
Abstract: Football, as one of the most popular sports on the planet, has always attracted a large number of fans. Over 150 million men and women of all ages play it in over 200 countries. Modern football has seen a paradigm shift from being just one of the most physical sports to now being one of the most complex sports due to the involvement of multiple new factors such as Home …
Published in Journal of Communication Engineering & Systems Read article
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Empirical Relation to Predict Essential Oil Yield in Conventional Distillation System
Abstract: Peppermint is medicinal herb, and its extracts (essential oils) are of great importance because they are used in pharmaceutical, food, and cosmetic items. Moreover, peppermint oil is also used as anticancer, anti-bacterial, anti-viral, spasmodic, anti-diabetic, ulcer healing, anti-obesity, etc. Steam distillation method is used to extract essential oil from peppermint. Boiler, extraction unit, condenser and Florentine flask are the main components of steam distillation system. The objective of present study …
Published in Journal of Polymer & Composites Read article
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Prediction of Molecular Targets for Anthraquinone and Its Analogs for Treatment of Good Pasteur Syndrome
Abstract: Objective: In order to find prospective molecular targets for the treatment of Good Pasteur Syndrome (GPS), a rare autoimmune disease that affects the kidneys and other organs, computational methods and network pharmacology were applied in this work. The goal of the study is to identify particular human proteins that might interact with anthraquinone and its analogues as well as to uncover potential mechanisms of action by which these drugs might …
Published in International Journal of Bioinformatics and Computational Biology Read article
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In Silico Prediction of Multitarget Mechanism of Quinoline and Its Analogs on Phosphoinositide-3-Kinase Pathway Proteins
Abstract: Objective: Phosphoinositide 3-kinases (PI3Ks), the target of rapamycin (PI3K/Akt/mTOR, PAM), are a family of enzymes that play a role in the growth, proliferation, differentiation, motility, survival, and intracellular trafficking of cells, all of which are essential for healthy cellular function and are also connected to cancer. In this study, quinoline and its derivatives were employed to analyze its inhibition activity on the phosphoinositide-3-kinase pathway. Methods: In this work, eight phytocompounds …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 1, 2023 · pp. 57–76 Read article
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Heart Attack Prediction Using Machine Learning
Abstract: Heart attacks have become a prevalent and serious condition in recent years due to a variety of causes. Numerous variables, including age, sex, fat, and others, can be used to predict it. In the current study, it was found that a data set with 13 parameters and 302 distinct data values, collected from a Kaggle dataset to assess patient condition, was covered. This article delves into the application of machine …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Role of W.A.R. Score in Predicting Wound Infection
Abstract: In clinical practice, chronic wounds are a major difficulty that are frequently made worse by the infection risk. However, the lack of precise standards for evaluating the risk of infection and establishing the need for and length of time for systemic antibiotics leads to the overuse and abuse of these drugs, which increases the risk of side effects and the development of antibiotic resistance. To close this gap, the development …
Published in Emerging Trends in Personalized Medicines · Vol. 1, Issue 1, 2024 · pp. 33–38 Read article
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Interest Level Prediction in Rental Properties Using Data Science
Abstract: A key component of forecasting home prices and rental patterns is real estate market analysis. Data science, data mining methodologies, and statistical models are some of the strategies that have been created in recent years to solve this problem. A few problems are still required to be resolved, such as the obstacles caused by the availability and quality of the data; the presence of outliers, missing values, and inconsistent formats …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 28–34 Read article
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Social Capital as a Predicting Indicator to Measure the Psychological Health Impacts of COVID-19 Pandemic on Urban Societies in Pakistan.
Abstract: The COVID-19 pandemic has forced people to adapt to massive changes in their lifestyles; from health to work and how they interact with everyone nearby they know. This study aims to investigate the psychological wellbeing-impacts of COVID-19 on social capital in Pakistan. Social capital means the social and cultural coherence (as a predicting indicator) in the society. This was a survey based study conducted in 5 major cities (Islamabad, Rawalpindi, …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 1, 2024 · pp. 12–21 Read article
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Optimizing Heart Disease Prediction: Comparative Analysis of Machine Learning Algorithm for Early Detection
Abstract: The expanding realm of data analysis holds considerable importance in healthcare, particularly in the medical sector where forecasting heart disease is considered a complex endeavor. Early prediction of serious health conditions can be the determining factor between survival and fatality, with heart disease being one such critical health issue. Over the past decade, the main reason for death has been heart disease. Heart disorders come in many different forms, and …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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An Immunohistochemical Study to Assess the Role of Myofibroblasts in Diagnosing and Predicting the Outcome of Oral Squamous Cell Carcinoma
Abstract: Background: Squamous cell carcinoma (SCC) accounts for approximately 94% of all oral malignancies, hence establishing oral squamous cell carcinoma (OSCC) as one of the top 10 most prevalent malignant tumors. Cells with several functions, such as macrophages and myofibroblasts, play a vital role in the biological behavior of tumors. This study aimed to assess and evaluate the prevalence of myofibroblasts (MF) and macrophages in SCCs occurring in the oral region. …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 1, 2024 · pp. 13–17 Read article
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Post Pandemic Cardiac Prediction: Analysing Heart Attack Mortality Rate In Vaccinated Adults
Abstract: Heart disease has emerged as a prominent contributor to global mortality rates. Discovered it early and providing timely management can significantly reduce the incidence of heart failures, death rates, and diagnostic costs associated with heart disease. In this study, we propose employing notification system to assess the risk of heart disease and explore potential associations between vaccination status and mortality rates due to heart attack among adult populations in the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 45–51 Read article
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House Price Prediction Using Linear Regression In Machine Learning
Abstract: In the modern world, real estate is among the most important investments, particularly in a city like Chennai, which is where many people aspire to work and settle down. Due to people's high purchasing power, this will cause property prices to rise daily. When purchasing a home, buyers will consider whether or not it will yield a healthy profit margin. Hence, before spending your hard-earned money on any property, it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 92–100 Read article