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129 articles for “Diagnosis”
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Nanotechnology Era: Comprehensive Study of Magnetic ZnxFe2–xO3 Nanoparticles for Enhanced Treatment of Cancer and Infectious Disease
Abstract: In the contemporary world, scientists, technologists, and medical professionals are able to transform the knowledge of nanotechnology to medical treatment. They have been struggling to eradicate or reduce the risk effects of epidemic disease from the world. Such epidemic disease is challenging due to their vast replication, regeneration, hereditary case, genetic variations, and passages through genetic matter. For this reason, this research is focused on the biomedical application of ZnxFe2–xO3 …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 2, 2024 · pp. 33–48 Read article
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Image Caption Generator Implementation
Abstract: Image caption generation is a software technology that takes an image as an input and produces a descriptive caption in text form. In the modern era, this technology finds application in various fields. For instance, automatically generating captions for medical images aids in diagnosis and enhances reporting efficiency, helping healthcare professionals to quickly interpret complex visuals. In the realm of autonomous vehicles, image captioning enables these vehicles to understand and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 18–23 Read article
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Revolutionizing Healthcare: The AI-Driven Transformation
Abstract: Artificial Intelligence (AI) is the use of machines, especially computers, to act intelligently without much human interference. AI is basically accepted as coming into existence with the development of robots. The term robot derives from the word robata, that means use of biosynthetic machines as forced labor. Now a days, AI is spreading its arms in the medical field by use of robotic-assisted surgery, for complex urologic and gynecologic procedures. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Microneedle platform: An innovative way for transdermal drug delivery system.
Abstract: The transdermal route is employed as an alternate method in many therapeutic applications to get over the important drawbacks of oral medication delivery. Transdermal microneedle arrays have been used for drug administration via the skin for a very long time. Microneedles are devices with a reputation for being highly efficacious and flexible. Microneedles are devices with a reputation for being highly effective and flexible. Intellectual and industrial groups are interested …
Published in International journal of Nanobiotechnology · Vol. 10, Issue 1, 2024 Read article
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Engineering Solutions through Linear Algebraic Principles
Abstract: The field of mathematics concentrates on industrial problems and seeks solutions that are applicable to the industry. One area of mathematics that deals with the study of the physical sciences is called applied mathematics. Algebra is used by engineers to study and create structures, machinery, and electric circuits. They solve optimization equations, develop mathematical models to assess the safety and functionality of designs, and apply the results to analyze topics …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 10, Issue 1, 2024 · pp. 26–33 Read article
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The essence of Nanotechnology; Nanoparticles and cutting edge applications in Molecular electronics and Molecular medicine
Abstract: In this paper, the essence of nanotechnology is presented. Nanotechnology is emerged as a fabrication method, computational tools, and revolutionized electronics and medicine. The bio-chemo-physical properties are understood in different dimension with emphasis on various synthesis techniques and size dependent physio-chemical properties. Most properties resulting from size reduction from macro scale to nanoscale and molecular interactions with nanoparticles significantly contributes to its multi function. A systematic illustration of nanotechnology at …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 1, 2024 Read article
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EEG for Nursing: Knowledge gaps and opportunities
Abstract: BACKGROUND: Electroencephalography (EEG) is a non-invasive diagnostic method used to identify particular locations of seizure activity in the brain. EEG has been demonstrated in both adult and paediatric populations to be a safe and effective technique for preoperative decision making and batter prognosis. METHODS: This is used in patients who have Seizure Diagnosis and Monitoring, Brain Function Evaluation, Preoperative Assessment, Sleep Disorders, Psychiatric Disorders, Research and Cognitive Studies, and Monitoring …
Published in International journal of Nursing Science Practice and Research · Vol. 10, Issue 1, 2024 · pp. 5–10 Read article
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The Implementation of Machine Learning in the Search to Fight Plant Disease
Abstract: The agriculture business loses money and time due to plant diseases. Diagnosing disease accurately takes skill and devotion. Infected plants may have spots or streaks of a different color on their leaves. Several fungal, bacterial, and viral species can also infect plants. Individual plant disease signs and indications are assessed. Neural network applications are growing. Recent research studies have determined how well machine learning reviews traditional plant disease diagnosis methods. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 25–34 Read article
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A Pilot Study to Assess the Effectiveness of Peer-led Health Education on Knowledge Regarding the Adverse Effects of Self-medication among Mothers of Under-five Children in Selected Rural Community of Salem
Abstract: Child health is the most crucial factor determining the growth of children, especially during their first five years of life. In recent years, the relatively low immune response in this age group has resulted in outbreaks of diseases and infections. Self-medication involves the use of drugs without consulting a physician for the treatment or prevention of ailments. Self-medication is a potentially unsafe practice with various risks, including drug interactions, antibiotic …
Published in International journal of Nursing Science Practice and Research · Vol. 10, Issue 1, 2024 · pp. 10–19 Read article
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A Preliminary Study of the Regenerative Effect of Overo Flower (Cordia lutea Lam.) Infusion in the Liver of Rats Consuming Alcohol Chronically
Abstract: Alcohol consumption causes the Alcoholic Liver Disease which includes a series of pathologies starting with a Fatty Infiltration, later Hepatic Inflammation, Fibrosis, Cirrhosis, and eventual Hepatocellular Carcinoma. The prevalence of these changes generates expenses in the health system and discomfort for the patient. Moreover, the current standard Corticosteroid treatment is not effective in all patients, 30-40% dies six months after initial diagnosis and new therapies including Plant metabolites are investigated …
Published in International Journal of Animal Biotechnology and Applications · Vol. 6, Issue 2, 2020 · pp. 1–8 Read article
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Advancements in the Large-Scale Production of Monoclonal Antibodies (mAbs)
Abstract: The monoclonal antibodies (mAb) are the antibodies derived from single clone and are specific for an epitope, which are being commonly used in biomedical research, diagnosis and treatment of diseases. mAbs are formed by the B lymphocytes of the immune system in response to the antigens and can be produced at small as well as large scale. This review consists of the benefits, production procedures and advancements being made in …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 1, Issue 1, 2015 Read article
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Image Enhancement and Lung Cancer Detection Using Anisotropic Diffusion Filter
Abstract: The leading cause of cancer-related deaths globally is lung cancer. According to the Global Cancer Statistics lung cancer is the leading cause of cancer-related fatalities with 1.8 million deaths and 2.1 million new cases. Early detection of a tiny tumor can stop cancer from spreading and greatly enhance prognosis and survival rates. Consequently, the creation of a sophisticated computer-aided diagnosis system (CADS) may be advantageous for the early therapy of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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Brain Tumor Detection using Machine Learning Methods-KNN, SVM, DT, RF
Abstract: Brain tumor is a major contributor to illness and death worldwide, and timely diagnosis is essential for successful treatment and improved outcomes Recent research has looked into the possibility of machine learning algorithms for detecting and classifying brain tumours in medical pictures. In this study, four commonly used machine learning algorithms (K-Nearest Neighbours, Decision Trees, Support Vector Machines, and Random Forests) were evaluated for their effectiveness in brain tumor detection. …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 48–59 Read article
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A Realtime Coronavirus Notifier
Abstract: Fresh corona virus deadly disease has not clinically confirmed vaccine or medicines. Its tolerant are improving through the help of antibiotic drug, anti-viral treatments, over and above vitamin C supplementation. It is currently apparent that the world necessities an expedient and speedier answer for contain and tackle the further spread of COVID-19 across the world with the guide of non-clinical advance for instance data mining schemes, improved aptitude furthermore extra …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 1, 2021 · pp. 22–25 Read article
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Comparative Study of Classification Methods Based on Feature Reduced Microarray Gene-Expression Data
Abstract: Abstract Cancer is a very complex and clinical heterogeneous disease. Now a days the research into the diagnosis and treatment of cancer have become an important issue for researchers. Cancer microarray data normally consist of samples having large number of gene expression as features. For better result in cancer classification it is very important to select relevant features. In this paper, five different types of cancer datasets are used such …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 1–10 Read article
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Computer-Assisted Automatic Segmentation/Detection of Multiple Sclerosis Lesions in Brain MR Images: A Review
Abstract: In humans, central nervous system (CNS) may suffer with demyelinating disease, named multiple sclerosis (MS), characterized by a wide scope of neurological deficits. Magnetic resonance imaging (MRI) is an important tool for MS diagnosis which enables the detection of location and size of the affected tissue. Research on this disease is has grabbed wide attention so as to improve the treatment plans by better understanding of causes and the disease …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 17–24 Read article
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Deep Learning to Detect Pneumonia from Chest X-Ray Image
Abstract: Pneumonia is an acute pulmonary infection that is caused by viruses or by bacteria and it causes inflammation in the lungs. In 2019, a total of 2.5 million people died because of pneumonia, out of which, one third were younger than the age of 5. This infection was diagnosed by taking a chest Xray. The prediction of diseases is mainly based on human knowledge. In this, the probability of human …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 1, 2022 · pp. 8–14 Read article
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Classification and Detection of Cabbage Leaf Diseases from Images Using Deep Learning Methods
Abstract: The presented work uses Deep learning methods to detect diseases in cabbage leaves. To avoid a reduction in agricultural product yield, disease diagnosis in plants is crucial. Manual plant disease monitoring is challenging and time-consuming at every stage. Five major types of diseases are considered. Initially, the input images are classified as healthy and diseased. Further, the diseased images are classified into five different varieties. Early and precise biotic stress …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 23–32 Read article
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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Developed Software “Medical Office” as Main Part of Embedded Computing Medical System
Abstract: The embedded system is a combination of computer hardware and software, designed to develop and implement algorithms in programming languages in such a way as to use several computers as automated workstations of a doctor to solve the general problem of medicine - the coverage of monitoring patients, their treatment and predicting the results of treatment in large medical center or centers.This goal is achieved through the development of such …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 8, Issue 2, 2022 · pp. 17–29 Read article