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Research ArticleOpen accessEvery word in the titleEpileptic Seizure Detection Using Integrated Decomposed Features from EEG SignalShupta Das, Suraiya Akter Mumu, M. A. H. Akhand, Md Abdus Samad KamalThe root cause of the seizure is a sudden abnormal excessive electrical discharge in the brain and it is an Epileptic Seizure (ES) when such abnormal electrical activity arises particularly for epilepsy. Recognizing ES is crucial for effective treatment as it often repeats and can lead to serious outcomes. Since epilepsy is a neurological issue, detecting ES by analyzing brain … …Journal of Computer Science, Vol. 20, Issue 10 · 8 Aug 2024 · 4,845 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Risk of Diabetes using a Model based on Multilayer Perceptron and Features ExtractionFrancesca Fallucchi, Alessandro CabroniDiabetes (diabetes mellitus) is a disease emerging when a person has a high blood sugar level for a prolonged period. In the healthcare context, one of the most important topic is the prevention of the disease. This study relates to diabetes prevention. In particular, it aims to produce random generated datasets according to a rule named Finnish Diabetes Risk Score … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,580 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,259 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleProtein Sequences Features Extraction for Predicting Beta- Turns and their Types: A ReviewMurtada Khalafallah Elbashir ElfakiBeta-turns are considered to be important secondary structure types that have essential role in molecular recognition, protein folding and stability. They represent 25% of protein structures, therefore they are the most common type of non-repetitive or tight turns structures. Their prediction is considered to be an important issue in bioinformatics and molecular biology, because it provides valuable information and inputs … …Journal of Computer Science, Vol. 15, Issue 9 · 1 Oct 2019 · 7,694 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDescriptive Epidemiological, Clinical and Microbiological Features of Infective Endocarditis at a University Hospital in Saudi ArabiaReham Kaki, Nabeela Al-AbdullahInfective Endocarditis (IE) still remains a serious disease. The treatment and pathology still remain unclear. In this study, we sought to clarify the epidemiology and treatment of IE in a teaching hospital in Saudi Arabia. In this study, we sought to conduct a retrospective investigation of all adult patients who were treated for IE at our hospital and determine the … …American Journal of Infectious Diseases, Vol. 14, Issue 2 · 28 May 2018 · 8,361 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleBrief Overview of Specific Features of Cancer in Atherosclerosis Patients and Therapeutic StrategiesAnastasia Vladimirovna Poznyak, Varvara Alexandrovna Orekhova, Vasily Nikolaevich Sukhorukov et al.Cardiovascular Conditions (CVD) as well as cancer are the main death causes globally. Characteristically, there are numerous interrelations and intersections between these two groups of diseases. So, in particular, cardiovascular disease is one of the main comorbidities and death causes in cancer patients. The development of atherosclerosis is promoted by aggressive anticancer therapy regimens and various risk factors, including hypertension, … …OnLine Journal of Biological Sciences, Vol. 23, Issue 4 · 22 Sep 2023 · 4,521 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExtracting the Potential Features of Digital Panoramic Radiograph Images by Combining Radio Morphometry Index, Texture Analysis, and Morphological FeaturesEnny Itje Sela, SutarmanOsteoporosis is a type of disease that is not easily detected visually. It contributes to bone fracture and so early diagnosis is particularly important to prevent bone fracture. An integrated approach for extraction of cortical and trabecular bone on the digital panoramic radiograph (DPR) images was proposed to screen osteoporosis. We performed radio morphometry index (RMI), texture analysis, and morphology … …Journal of Computer Science, Vol. 14, Issue 2 · 7 Dec 2017 · 8,026 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeatures Reweighting and Similarity Coefficient Based Method for Email Spam FilteringAli Ahmed, Ammar Ahmed E. Elhadi, Ahmed Osman Ali ElsiddigSpam is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. Anti spam by determining whether or not an incoming email is spam has become an important problem. One of the main characters or the problem of Spam filtering is its high … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 13 Oct 2017 · 7,804 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCorrelating and Modeling of Extracted Features from PVT Images of Composites using Optical Flow Technique and Weight Elimination Algorithm Optimization [OFT-WEA]Mahmoud Zaki IskandaraniA new approach to the use and implementation of Optical Flow technique is presented. The technique extracts features from presented images as a function of reference image and produces percentage of matching between the reference and tested images. The new approach in using Optical Flow lies in replacing the motion part of the algorithm with differential time related changes in … …Journal of Computer Science, Vol. 13, Issue 9 · 29 Sep 2017 · 7,320 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSome Morphologic Features of Heart Failure with Different EtiologyDmitrij Arkadievich OleynikovDilated Cardiomyopathy (DCM) and Chronical Degenerative Valvular Disease (CDVD) are very common in dogs nowadays. However, due to modern level in oncology we can meet chemotherapy-induced cardiomyopathies more often. We have lack of information about pathogenic mechanisms underlying doxorubicin-induced cardiomyopathy (DoxCM) and features differentiating it from CDVD and DCM. The study population consisted of 46 dogs of different age, sex … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 2 · 20 May 2017 · 7,330 accessesView PDFCite