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68 articles for “Disease Prediction”
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Research ArticleOpen accessIn the abstractPrediction of Covid-19 Outbreak in India by Employing Epidemiological ModelsSudheer Reddy K, Anji Reddy V, Mamatha K, Santhosh Kumar CThe novel Corona virus (Covid-19) pandemic has frightened an unprecedented challenge to continents. The Covid-19 pandemic is a highly contagious viral disease that has been progressing across the globe. The global thought leaders, doctors, scientists and other intellects have enforced the lockdown to reduce the spread of the pandemic. The objective is to study the impact of lockdown and to … …Journal of Computer Science, Vol. 16, Issue 7 · 10 Jul 2020 · 6,907 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrated Framework to Predict the Strength of New SMILE Using Graph Attention NetworkSandhi Kranthi Reddy, S. V. G. ReddyMachine Learning (ML) and Deep Learning (DL) have significantly advanced various fields, including healthcare, finance, autonomous systems, and scientific research. In healthcare, these technologies have been widely applied to disease prediction, such as cancer and diabetes. However, the challenge of drug resistance persists, creating a need for more effective drugs. Developing new drugs is a complex, expensive, and time-intensive process, … …Journal of Computer Science, Vol. 21, Issue 10 · 25 Nov 2025 · 2,167 accessesView PDFCite
Review ArticleOpen accessIn the abstractComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,413 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Heart Disease Using Cluster Based DT LearningSenthilkumar Mohan, Chandrsegar Thirumalai, Abdalah RababahIn the rural side, due to the absence of cardiovascular ailment centers, around 12 million people passing away worldwide reported by WHO. The principal purpose of coronary illness is a propensity of smoking. Our Cluster based disease Diagnosis (CDD) applies the ML classifiers to improve the prediction accuracy of cardiovascular diseases. For this we have taken a real Cleveland dataset … …Journal of Computer Science, Vol. 16, Issue 1 · 10 Jan 2020 · 7,367 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with AnalyticsSelvaraj Rajalakshmi, Kuthadi Venu MadhavHuman heart is the major organ of human being which could fail the other systems in the body at the same time. Hence predicting heart disease is one of the challenging researches that requires meticulous analysis of heart rhythms properly. The irregular heart rhythms or beat is referred to as the Arrhythmia where heart rhythms with low or high rates … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,513 accessesView PDFCite
Research ArticleOpen accessIn the abstractVirtual Screening of CPP Conjugated Peptide as QcrB BCC Protein Inhibitors of Mycobacterium tuberculosis BacteriaMuhammad Ihsan Muttaqin, Manaman Huang, Usman Sumo Friend TambunanTuberculosis is a global leading cause of death, just below COVID-19 and ranked above HIV. This disease is caused by a pathogen called Mycobacterium tuberculosis, which spreads easily through the air and is known to remain latent in most people's bodies, about a quarter of the world's population. The current problems with TB also include two main concerns: The official … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 14 Mar 2024 · 5,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn Silico Prediction and Functional Characterization of Genes Related to Abiotic and Biotic Stresses in Chickpea (Cicer arietinum)Sukhdeep Kaur, Satendra Singh, Gitanjali Tandon et al.Chickpea (Cicer arietinum L.) is second largest grown legumes worldwide contributing 75% of total pulse production. It is a cool season legume crop and grown in tropical and subtropical areas. Due to drastic climatic changes, chickpea suffers from many biotic (blight and wilt) and abiotic (salinity, drought, cold) stresses that directly impact the growth and yield. In our study, we … …Current Research in Bioinformatics, Vol. 7, Issue 1 · 25 Sep 2017 · 14,194 accessesView PDFCite
Research ArticleOpen accessIn the abstractBIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA MarkersSarika Jaiswal, Sandeep Kumar Dhanda, M. A. Iquebal et al.Domestic cow, Bos taurus is one of the important species selected by humans for various traits, viz. milk yield, meat quality, draft ability, resistance to disease and pests and social and religious reasons. Since cattle domestication from Neolithic (8,000-10,000 years ago) today the population has reached 1.5 billion and further it’s likely to be 2.6 billion by 2050. High magnitude … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 23 Jan 2016 · 9,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosis of Cardiovascular Diseases with Bayesian ClassifiersAlaa Elsayad, Mahmoud FakhrCardiovascular disease or atherosclerosis is any disease affecting the cardiovascular system. They include coronary heart disease, raised blood pressure, cerebrovascular disease, peripheral artery disease, rheumatic heart disease, congenital heart disease and heart failure. They are treated by cardiologists, thoracic surgeons, vascular surgeons, neurologists and interventional radiologists. The diagnosis is an important yet complicated task that needs to be done accurately … …Journal of Computer Science, Vol. 11, Issue 2 · 25 Mar 2015 · 7,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Feature Selection as Accuracy Benchmarking in Clinical Data MiningJafreen Hossain, Nor FazlidaMohdSani, Aida Mustapha, Lilly SurianiAffendeyAutomated prediction of new patients’ disease diagnosis based on data mining analysis on historical data is proven to be an extremely useful tool in the medical innovation. There are several studies focusing on this particular aspect. The objective of this study is two-fold. First, we look into three different classifiers, which are the Naïve Bayes, Multilayer Perceptron (MLP) and Decision … …Journal of Computer Science, Vol. 9, Issue 7 · 20 Jun 2013 · 7,468 accessesView PDFCite