Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

77 results for “Clinical Evaluation”
Set a search alert
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 · 593 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Acute Oral Toxicity Induced by Tablets Based on Ethanolic Extract of Salvia dumetorum Leaves in Experimental RatsYana Levaya, Karakoz Badekova, Mussa Zholdasbayev, Gayane AtazhanovaThe aim of this study was to assess the acute oral toxicity of a solid dosage form based on Salvia dumetorum Andrz. ex Besser leaf extract (SDT5) in experimental rats. Acute toxicity was evaluated over a 14-day observation period following a single oral administration at three dose levels (500 mg/kg, 1000 mg/kg, and 2000 mg/kg), prepared in 0.5 mL of … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 23 Jun 2026 · 1,241 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease DiagnosisNawal Mohamed Bahy Eldin, Ghada A. El Khayat, Abeer A. AmerAlzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. The model builds upon the VGG16 architecture, incorporating key enhancements to improve its ability to classify neurodegenerative conditions. The model processes structural neuroimaging data using a refined pipeline that applies … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of the Clinical Incidence and Correlation between Colorectal Cancer and MicroorganismsKalia Koutouvalis, Pablo Augusto BejaranoIn this single institution retrospective medical record review, patients diagnosed with colorectal cancer from the years 2018-2022 were evaluated to distinguish an associative linear relationship between diagnosed colorectal cancer and a positive result for the presence of an infectious microorganism. A total of 241 patients diagnosed with colorectal cancer accompanied by a test or order placed with the purpose of … …American Journal of Infectious Diseases, Vol. 20, Issue 1 · 27 Jun 2024 · 5,023 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe Impact of Di-2-Ethylhexyl Phthalate (DEHP) in Focus on the Reproductive System and Toxicity in Rat or Mammalian ModelVenkataramanaiah Poli, Srinivasulu Reddy MotireddyAbsalan, F., Saremy, S., Mansouri, E., Moghadam, M. T., Moghadam, A. R. E., & Razie, G. (2016). Effects of Mono-(2-Ethylhexyl) Phthalate and Di-(2-Ethylhexyl) Phthalate Administrations on Oocyte Meiotic Maturation, Apoptosis and Gene Quantification in Mouse Model. Cell Journal, 18(4), 503–513. https://doi.org/10.22074/cellj.2016.4717 Acevedo‐Rodriguez, A., Kauffman, A. S., Cherrington, B. D., Borges, C. S., Roepke, T. A., & Laconi, M. (2018). Emerging … …American Journal of Pharmacology and Toxicology, Vol. 19, Issue 1 · 6 Jun 2024 · 12,990 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison Between the Use of Advanced Platelet-Rich Fibrin (A-PRF) and Connective Tissue Graft in the Treatment of Cairo Type 1 Gingival Recession Associated with the Coronally Advanced FlapLetícia Nadal, Patricia Oehlmeyer Nassar, Luiza Roberta Bin et al.The effects of Advanced Platelet Rich Fibrin (A-PRF) are promising in periodontal surgeries because of the high number of cells and growth factors due to slower centrifugation. Then, the aim of the present study was to evaluate the efficacy of A-PRF in combination with Coronally Advanced (CAF) and compare it with the use of Connective Tissue Graft (CTG) also associated … …Current Research in Dentistry, Vol. 15, Issue 1 · 16 Feb 2024 · 9,036 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 · 774 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 · 1,115 accessesView PDFCite