Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Quantitative analysis and prediction can help to reduce the risk of cardiovascular disease. Quantitative prediction based on traditional model has low accuracy. The variance of model prediction based on shallow neural network is larger. In this paper, cardiovascular disease prediction model based on improved deep belief network (DBN) is proposed. Using the reconstruction error, the network depth is determined independently, and unsupervised training and supervised optimization are combined. It ensures the accuracy of model prediction while guaranteeing stability. Thirty experiments were performed independently on the Statlog (Heart) and Heart Disease Database data sets in the UCI database. Experimental results showed that the mean of prediction accuracy was 91.26% and 89.78%, respectively. The variance of prediction accuracy was 5.78 and 4.46, respectively.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966666 | PMC |
| http://dx.doi.org/10.1155/2018/8954878 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The cachexia index as a prognostic indicator in patients with cervical cancer treated with radiotherapy: A retrospective study.
Nutr Clin Pract
September 2025
Department of Clinical Nutrition, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Objective: The cachexia index (CXI) demonstrates potential as both a diagnostic tool for cachexia and a prognostic tool for survival in cancer. However, CXI's predictive value has not been verified in cervical cancer. The purpose of this study is to investigate the prognostic value of the CXI in patients with cervical cancer treated with radiotherapy.
View Article and Find Full Text PDFPreoperatively predicting failure to achieve the minimum clinically important difference and substantial clinical benefit for total knee arthroplasty patients using machine learning.
Knee Surg Relat Res
September 2025
Florida Orthopaedic Institute, Gainesville, FL, 32607, USA.
Background: A clear understanding of minimal clinically important difference (MCID) and substantial clinical benefit (SCB) is essential for effectively implementing patient-reported outcome measurements (PROMs) as a performance measure for total knee arthroplasty (TKA). Since not achieving MCID and SCB may reflect suboptimal surgical benefit, the primary aim of this study was to use machine learning to predict patients who may not achieve the threshold-based outcomes (i.e.
View Article and Find Full Text PDFExploring how organizational virtuousness shapes nurses' occupational commitment: the mediating role of just culture.
BMC Nurs
September 2025
Department of Nursing Administration, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
Background: Organizational virtuousness and just culture, which both foster justice, honesty, and trust, have a major impact on positive work environments in the healthcare industry. Strengthening nurses' emotional engagement and vocational commitment requires these components. With an emphasis on the mediating function of just culture, this study attempts to investigate the relationship between organizational virtuousness and nurses' vocational commitment.
View Article and Find Full Text PDFPresentation of gastrointestinal bleeding in patients with antithrombotic therapy, results from a consecutive retrospective cohort.
Scand J Trauma Resusc Emerg Med
September 2025
Department of Clinical Sciences, Malmö, Section of Surgery, Lund University, Malmö, Sweden.
Background: Antithrombotic treatment might affect bleeding symptoms, identification of bleeding source and treatment for patients with acute gastrointestinal bleeding. This study aims to investigate possible differences in initial bleeding symptoms, identified bleeding site and treatment of patients with or without antithrombotic medication admitted for gastrointestinal bleeding.
Methods: All consecutive adult patients primarily admitted for gastrointestinal bleeding at Skane University Hospital between 2018-01-01 and 2019-06-31, were included in this study.
Perceptions of quality of life and the clinical learning environment: a cross-sectional study of four cohorts of health professions students.
BMC Med Educ
September 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 171 77, Sweden.
Background: Health professions students may encounter a range of stressors during their clinical education that may impact their quality of life. This study aimed to explore how various health professions students perceive their quality of life and the environment in which they develop their clinical skills.
Methods: An online survey was administered among registered undergraduate students in the physiotherapy, speech-language pathology, nursing, or medical programs.