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57 articles for “clinical assessment”
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Review ArticleOpen accessIn the abstractHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 601 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Feature Selection for Elderly Health Condition ClassificationRattanawadee PanthongFeature selection is a pivotal technique for constructing classification models with high-dimensional data. It facilitates the identification and elimination of redundant or irrelevant features, thereby reducing model complexity and enhancing predictive accuracy. The success of a classification model largely depends on the quality of the selected features. Accordingly, feature selection is performed during data preparation, prior to data processing, to … …Journal of Computer Science, Vol. 22, Issue 8 · 31 Aug 2026 · 782 accessesView PDFCite
Research ArticleOpen accessIn the abstractGait Analysis Combining Sports Biomechanics and ImagingChao ZhuAiming at the problems of marker positioning error, soft tissue interference, and insufficient personalized modeling ability in traditional gait analysis, this study proposes a gait assessment method that integrates sports biomechanics and multimodal imaging analysis. Firstly, based on the public OU-ISIR gait database, a Convolutional Neural Network (CNN) is used to extract the key gait features in the human silhouette … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 858 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of CTLA-4 Inhibitor Combined with Chemotherapy on Immunoglobulin Levels and General Condition in Breast Cancer PatientsRuiguang CaiThis study conducted an evaluation of the CTLA-4 inhibitor ipilimumab plus standard chemotherapy on immunoglobulin levels, performance status, and Quality of Life (QoL) in patients with stage I-III Breast Cancer (BC) via a randomized controlled trial. 120 patients with stage I-III BC were randomly allocated to the experimental group (chemotherapy + ipilimumab) and the control group (chemotherapy), and the treatment … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,124 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Integrated CNN Deep Learning for Automated Breast Cancer Detection and DiagnosisYamini Kalva, R. Ganesh Babu, Sindhu V. et al.Breast cancer continues to be a primary cause of death in women, requiring prompt and accurate diagnosis to enhance treatment results. Traditional diagnostic techniques depend on manual assessment, which leads to possible misclassification, significant inter-observer variability, and delays in decision-making. Current deep learning models, including CNNs, frequently experience feature loss, gradient declining and restricted adaptability to real-time data. To overcome … …Journal of Computer Science, Vol. 22, Issue 4 · 30 Mar 2026 · 1,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractCuckoo Search Optimized Random Forest for Breast Cancer PrognosisPrasad S. Sase, Debabrata Swain, Shailesh KumarBreast cancer remains a major global health concern due to its high mortality rate, particularly when diagnosis occurs at an advanced stage. Accurate and early differentiation between benign and malignant tumors is therefore critical for improving patient outcomes. Conventional diagnostic practices largely depend on manual assessment and clinical expertise, which may lead to subjective variability in decision-making. To overcome this … …Journal of Computer Science, Vol. 22, Issue 1 · 31 Jan 2026 · 2,107 accessesView PDFCite
Literature ReviewOpen accessIn the abstractDiagnostic Imaging of Gastrointestinal Tumours in Dogs and Cats: A ReviewFrancesco Simeoni, Francesca Del Signore, Rossella Terragni et al.Gastrointestinal tract tumours in dogs and cats are characterized by non-specific clinical presentation and laboratory abnormalities, but require fast identification, characterization and staging. Imaging techniques play a key role in the diagnostic process of these diseases in routine veterinary practice. Survey and contrast radiography may indicate primary or secondary signs of gastric or intestinal neoplasia such as a wall mass, … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 2 · 15 Apr 2020 · 9,839 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated vs. Manual Counting of Bacterial Colonies Using Hough Circle Transform: A Comparative Study for E. coli, S.aureus, and P.aeruginosaAreesha Rehman, Zikria Saleem, Jarrar Amjad et al.Bacterial colony enumeration is an essential stage in microbiological research, allowing susceptibility to antibiotics assessment, monitoring of the environment, and clinical diagnostics. This research compares automated bacterial colony counting using the Hough Circle Transform to traditional manual counting methods. Objectives include evaluating counting accuracy and efficiency. This study adopted the image processing approach to colonies of E. coli, S. aureus, … …Journal of Computer Science, Vol. 21, Issue 10 · 7 Dec 2025 · 2,397 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Examination of Factor Structure of the Hamilton Anxiety Rating Scale in a Non-Clinical Persian SamplePaul Slater, Brendan Bunting, Felicity Hasson et al.The Hamilton Anxiety Rating Scale is an internationally used assessment tool for anxiety level however its acceptable factor structure remains fluid. The aim of this paper is to examine the psychometric properties and establish normative anxiety prevalence rates with a Persian randomized sample. A cross sectional survey was distributed to a randomised sample of adults (n = 1260) in the … …International Journal of Research in Nursing, Vol. 10, Issue 1 · 28 May 2019 · 9,828 accessesView PDFCite