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129 articles for “Diagnosis”
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Automated Diagnosis and Drug Delivery System for Colon Cancer Using Biosensors and Nanostructures
Abstract: Colorectal cancer stands as a significant global health challenge, necessitating innovative approaches for early detection and effective treatment. This paper presents a novel framework for addressing this challenge by integrating biosensors with nano materials and nano structures to create an automated system for colon cancer diagnosis and treatment. The proposed system leverages the unique properties of biosensors for real-time disease detection and the advanced capabilities of nano materials and nano …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 1, 2024 · pp. 10–23 Read article
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Direction to Diagnosis by Artificial Neural Network
Abstract: ABSTRACT The diagnosis is presented by the Artificial Neural Network (ANN) in this paper. The method of diagnosis from the data over the ANN is discussed in this paper. The structure of ANN is classified by the coding and probability. Each neuron is set over the data for the diagnosis under the context of minimization of error and maximization of efficiency. Thus, the direction is presented over the mathematical analysis …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Using an Embedded System for Accurately Diagnosis of Bone Tumors and of Selection of the Best Treatment in Real Time
Abstract: An embedded system is the use of a combination of a programmable device and software to operate that device in order to perform a specific desired operation. The article presents a developed embedded system that combines an IR spectrophotometer and a programmable logic controller (PLC), controlledby a specially developed "Spectrum" program for accurately diagnosis of bone tumors and of selection of the optimal treatment for the detected disease in real …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 27–32 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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A Descriptive Study on Current Trends in the Diagnosis and Management of Diabetic Foot
Abstract: Diabetic foot is a major and frequently occurring complication of diabetes mellitus, significantly contributing to patient morbidity, increased hospital admissions, and a higher risk of lower limb amputations. Timely identification and proper management are crucial to halt disease progression and enhance patient outcomes. This descriptive study focuses on examining current practices and advancements in the diagnosis and management of diabetic foot within clinical settings. The study highlights modern methods used …
Published in International Journal of Medical Surgical Nursing · Vol. 9, Issue 1, 2026 · pp. 23–33 Read article
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Fault Diagnosis of Helical Gear Box Using Variational Mode Decomposition with Naïve Bayes and Bayes Net Classifiers through Vibration Signals
Abstract: Gear is a very important machine component which finds use in most of the machines which requires some sort of power transmission or reduction. Unattended faults in gears can be catastrophic for the machine leading to halts in production and consequent economic loss. The requirement for a gear fault detection and diagnosis system is thus emphasized. Vibration signals are often used in fault diagnosis applications along with Fast Fourier transform …
Published in International Journal of Manufacturing and Materials Processing · Vol. 1, Issue 1, 2014 · pp. 1–16 Read article
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Multi-class Fault Diagnosis of Rolling Element Bearing Based on Empirical Mode Decomposition and Entropy Features
Abstract: Rolling element bearings are one of the most commonly used machine elements in engineering industry. Fault detection and diagnosis of rolling element bearings is essential for prevention of malfunction and failure during operation. The present work deals with rolling element bearing fault diagnosis by using Support Vector Machine (SVM) and Artificial Neural Network (ANN). Four types of bearing conditions are considered in the present analysis: inner race fault (IR), outer …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 01–10 Read article
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Rolling Element Bearing Diagnosis Using Machinery Fault Simulator
Abstract: The paper presents the diagnosis strategy for the rolling element bearing system used in machinery fault simulator (MFS). The concept is generic and it is applicable for most of the system involving bearing sub-system. The MFS details and its various maintenance strategies described. The monitoring of the rolling element bearing (REB), done with the accelerometer sensors. Acquisition of data from the sensor analog voltage to the CPU in digital format …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 2, Issue 1, 2016 · pp. 01–22 Read article
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Faults in On-Load Tap Changer of a Transformer: An Innovative Approach to Mechanical Fault Diagnosis
Abstract: On-load tap changer (OLTC) is very important for maintaining or regulating output voltage, but it has moving contact & complex switching mechanisms which contributes to the failure of on-load tap changer. Faults in OLTC such as Coking Contact wear and damaged transition resistors significantly reduce reliability of transformers which may lead to catastrophic failures of transformers. There are some traditional approaches for diagnostics of OLTC, such as Static Resistance Measurements, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Neural Networks and Fault Diagnosis in Integrated Analog Circuits
Abstract: Abstract—This is a research paper on changing the learning speed of analogue integrated circuits by solving the complications in network scales and diagnosis of circuit faults in neural network and integration with arithmetic mechanisms at a distributed network.
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 1, 2015 · pp. 13–17 Read article
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Photon assisted Bio Nanopolymers for applications of drug delivery, diagnosis & would healing
Abstract: Biopolymers are valuable complex materials. They attract attentions of many scientists, engineers, and medical professionals’ for application research. The focus of this research is a base line assessment of valuable Nanosized biopolymers, Chitosan. As ordinary polymers, nano sized biopolymers are visualized as natural and synthetic polymers. Hence, systematic descriptions of nanosized biopolymers, the synthesis methods, characterization methods, and biomedical application will be presented. In this regard, the photon activated green …
Published in International Journal of Polymer Science and Engineering · Vol. 8, Issue 2, 2022 · pp. 25–36 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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Comprehensive Overview of Pediatric Asthma: Diagnosis, Management, and Prevention
Abstract: Asthma is the most common chronic respiratory condition affecting children worldwide. Factors such as worsening asthma severity, poor disease management, and the effects of poverty may contribute to the rising number of hospital admissions for asthma. Childhood asthma is prevalent and influenced by both environmental and genetic factors. If a child experiences wheezing before the age of six, their symptoms are likely to improve over time. Asthma symptoms, including wheezing, …
Published in International Journal of Pediatric Nursing · Vol. 11, Issue 1, 2025 · pp. 20–24 Read article
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Understanding Ovarian Cysts: A Comprehensive Review of Diagnosis, Management, and Complications
Abstract: An ovarian cyst refers to a sac filled with fluid or solid material that forms either within or on the surface of an ovary. These cysts are commonly detected in women who have regular menstrual periods and frequently do not cause any noticeable symptoms. Generally, ovarian cysts are a natural occurrence and tend to resolve spontaneously within several months without necessitating medical intervention. In fact, many women generate cysts regularly …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 10, Issue 1, 2024 · pp. 1–5 Read article
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Maculopathy Detection and Recommendation using Machine Learning
Abstract: Maculopathies, a diverse group of eye diseases affecting the central portion of the retina, the macula, are a leading cause of vision loss globally. Early detection and accurate diagnosis are critical for timely intervention and preventing irreversible vision loss. However, traditional methods such as manually detecting the disease are time-consuming, tiring, and often lack sensitivity and specificity, hindering optimal patient care. Here we delve into the applications of machine learning …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 10–16 Read article
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Mirror to Review of Lumpy Skin Disease
Abstract: Lumpy Skin Disease (LSD) is a disorder which is affecting most of the animals and thus is spreading to nations worldwide and is becoming as an epidemic in current times and serves as a platform to turn attention towards its rising disorder. It is a carrier spread disease transmitted by different arthropods. This article provides detailed information about the LSD, LSDV, and diagnosis (not by regular blood tests but using …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 16–24 Read article
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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Magnetic field guided diluted magnetic semiconductor ZnxFe2-xO3 Nanostructures for applications in biomedical and biosensors
Abstract: The magnetic field guided nanoparticles are studied in the viewpoint of diluted magnetic semiconductor. Different structures and properties of Zn doped α-Fe 2 O 3 nanostructure is presented in theoretical point of view. In these regard, Weiss molecular filed theory, DFTB model, and DLVO theory are used to describe particle agglomeration, aggregation, electrostatic interactions, and magnetic interactions between Zn doped iron oxide nanocolloids. In addition, the nature of interactions between …
Published in International journal of Nanobiotechnology · Vol. 9, Issue 2, 2023 · pp. 18–30 Read article
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Bone Mass Density and Osteomyelitis in Elderly-An Overview
Abstract: Bone mass density (BMD) plays a critical role in skeletal health, particularly in the elderly, where age-related bone loss increases susceptibility to infections such as osteomyelitis. Osteomyelitis, a severe bone infection often caused by Staphylococcus aureus, is more prevalent in older adults due to factors such as osteoporosis, impaired immune function, diabetes, and peripheral vascular disease. Reduced BMD weakens bone integrity, making it more vulnerable to fractures and microbial invasion, …
Published in International Journal of Geriatric Nursing · Vol. 8, Issue 1, 2025 Read article
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The Use of Developed Computer Medical Process Manager “Medical Commander” for Application in Medical Practice
Abstract: ABSTRACTThe use of the computer in the medical clinical practice plays an important role for the effective diagnosis, treatment, and management of patients in hospitals. The use of a computer today in medical practice is limited to the creation of medical database management systems that take into account all the requirements of hospital and are capable of providing simple and efficient storage of information about patients who visit the hospital …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 2, 2020 · pp. 11–27 Read article