The Open Pain Journal最新文献

{"title":"Reviewing the Impact of Machine Learning on Disease Diagnosis and Prognosis: A Comprehensive Analysis","authors":"Radha Raman Chandan, Jagendra Singh, Vinayakumar Ravi, Basu Dev Shivahare, Tahani Jaser Alahmadi, Prabhishek Singh, M. Diwakar","doi":"10.2174/0118763863291395240516093102","DOIUrl":"https://doi.org/10.2174/0118763863291395240516093102","url":null,"abstract":"\u0000 \u0000 This study aimed to explore how machine learning algorithms can enhance medical diagnostics through the analysis of illness imagery and patient data, assessing their effectiveness and potential to improve diagnostic accuracy and early disease detection.\u0000 \u0000 \u0000 \u0000 This study highlights the critical role of machine learning in healthcare, particularly in medical diagnostics. By leveraging advanced algorithms to analyse medical data and images, machine learning enhances disease detection and diagnosis, contributing significantly to improved patient outcomes and the advancement of precision medicine.\u0000 \u0000 \u0000 \u0000 The objective of this study was to thoroughly analyse and evaluate the efficacy of machine learning algorithms in medical diagnostics, focusing on their application in interpreting illness images and patient data. The goal was to ascertain the algorithms' accuracy in disease diagnosis and prognosis, aiming to demonstrate their potential in revolutionizing healthcare through improved diagnostic precision and early disease detection.\u0000 \u0000 \u0000 \u0000 A systematic approach has been used in this study to evaluate machine learning algorithms' effectiveness in diagnosing diseases from medical images and data. It involved selecting pertinent datasets, applying and comparing models, like SVM and K-nearest neighbors, and assessing their diagnostic accuracy and performance, aiming to identify the most effective methodologies in medical diagnostics.\u0000 \u0000 \u0000 \u0000 The results have highlighted the varying accuracy of machine learning algorithms in medical diagnostics, with a focus on the performance of models, such as SVM and K-nearest neighbors. A comparative analysis has illustrated the differential effectiveness of these algorithms across various diseases and datasets, underscoring their potential to enhance healthcare diagnostics.\u0000 \u0000 \u0000 \u0000 The study has concluded that machine learning algorithms have significantly improved medical diagnostics, offering varied effectiveness across different conditions. Their potential to revolutionize healthcare is evident, with enhanced diagnostic accuracy and efficiency. Ongoing research and clinical application are essential to harness these technologies' full benefits.\u0000","PeriodicalId":118054,"journal":{"name":"The Open Pain Journal","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141100806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hypnotherapy, Relaxation, and Music Therapy in Pediatric Cancer Pain Management: A Clinical Trial Comparison","authors":"F. Yousefi, B. Moradveisi, D. Roshani, Majid Mansouri, K. Servatyari","doi":"10.2174/0118763863291236240516114419","DOIUrl":"https://doi.org/10.2174/0118763863291236240516114419","url":null,"abstract":"\u0000 \u0000 Pain is a prevalent issue across various medical conditions, and numerous methods have been employed to manage it. In developed countries, cancer ranks as the second leading cause of mortality after cardiovascular diseases. This study aims to compare the effectiveness of hypnotherapy, relaxation therapy, and Music Therapy (MT) with control groups in alleviating pain in children with cancer.\u0000 \u0000 \u0000 \u0000 The research involved a single-blind clinical trial with a study population comprising children diagnosed with an abdominal mass and acute lymphoblastic leukemia. Fifty-eight patients were selected through blocked randomization. Data were collected through a demographic checklist and the Visual Analog Scale (VAS) to measure pain intensity. Data analysis was carried out using repeated measures ANOVA in SPSS version 22 to compare mean pain intensity among the study groups.\u0000 \u0000 \u0000 \u0000 A total of 58 patients, with an average age of 9.28±4.02 years, participated in the study. Significant differences were observed between the hypnotherapy group and the other study groups (F=14.51; P≤0.001), as well as between the MT group and the other study groups (F=12.81; P≤0.001). Moreover, significant differences were found in terms of time between the relaxation therapy group and the other study groups (F=8.46; P≤0.001) and between the control group and the other groups (F=5.506; P≤0.001).\u0000 \u0000 \u0000 \u0000 Based on the findings, relaxation therapy, hypnotherapy, and Music Therapy (MT) have shown significant effectiveness in alleviating pain in cancer patients during their treatment.\u0000 \u0000 \u0000 \u0000 Trial registration Clinical trial. gov Identifier: IRCTID website (code: IRCT20120905010744N2; http://irct.ir).\u0000","PeriodicalId":118054,"journal":{"name":"The Open Pain Journal","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141099061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ligamentous Knee Joint Instability: Association with Chronic Conditions of the Knee and Treatment with Prolotherapy","authors":"Ross A. Hauser, Danielle Steilen-Matias, Johanna B. Lackner, Benjamin R. Rawlings, Jeevan Mann, Torin Grogan, Anna Phillips","doi":"10.2174/0118763863267142231023052404","DOIUrl":"https://doi.org/10.2174/0118763863267142231023052404","url":null,"abstract":"Ligamentous knee joint instability and other conditions associated with knee dysfunction are common musculoskeletal complaints that affect a large percentage of the global population. A healthy knee has normal joint mechanics and can maintain its stability as it responds to the forces placed upon it. Once undue forces, whether from injury, wear and tear, or overuse, cause the soft tissue structures of the knee to stretch beyond their normal range of motion, they can become lax, elongated, damaged, or torn, especially the ligaments. This condition, known as ligamentous knee instability, causes destructive joint forces to occur, which results in the development of other pathophysiologic conditions related to knee dysfunction, including osteoarthritis, patellar pain syndromes, tendinopathies, meniscus tears, and osteochondral defects. Traditional treatments address the consequences of joint instability, such as synovitis and joint swelling, but do not address the underlying ligament and/or disease that led to the joint instability. Prolotherapy promotes the repair of injured or degenerated tissues, such as ligaments, tendons, and menisci, by stimulating the physiological healing process of the joint. This process corrects the underlying joint instability, reduces associated pain, improves knee function, and has the potential to slow the degenerative process.","PeriodicalId":118054,"journal":{"name":"The Open Pain Journal","volume":"49 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139272225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Characteristics of Women with Persistent LBP Postpartum","authors":"Palesa Mhleketo Madzivhandila, M. Cochrane, Rethabile Dineo Nkuna","doi":"10.2174/18763863-v16-230825-2023-5","DOIUrl":"https://doi.org/10.2174/18763863-v16-230825-2023-5","url":null,"abstract":"Persistent low back pain (LBP) postpartum is a known phenomenon; however, the prevalence and characteristics thereof were unknown in South Africa. This study determined the point prevalence and characteristics of women with persistent LBP postpartum. A cross-sectional quantitative design was used. Women over 18 years who gave birth more than six weeks prior to the study were included. Data were collected for both groups through physical measurements and questionnaires. Descriptive, correlational, and non-parametric statistical analysis was conducted. 50 women participated in the study, and 22 (44%) presented with persistent LBP postpartum. The group with LBP experienced a higher level of disability (54.5% - moderate disability and 4.5% - severe disability) compared to the pain-free group. Postnatal depression was indicated in 40.9% of the LBP group and was statistically significantly and moderately positively associated with the presence of LBP (p=0.000; r=0.53). Regarding activity and participation levels, 59.1% of females with LBP postpartum had a moderate risk for chronicity, and 13.6% had a high risk. The LBP pain group differed significantly in terms of participation in physical activity (p=0.000) compared to the pain-free group. The results indicated a high point prevalence of LBP six or more weeks postpartum (44%). On impairment level, disability and postnatal depression experienced by women with LBP postpartum differed from the pain-free group. Participants who were pain-free were much more physically active than participants with LBP. The results from the study implied low levels of physical activity in the presence of LBP.","PeriodicalId":118054,"journal":{"name":"The Open Pain Journal","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139347757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}