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Role of methylphenidate in cancer-related fatigue: A Systemic Review 哌醋甲酯在癌症相关疲劳中的作用:一项系统综述
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.03.35
Abdulrahman Alardan, H. Alkhudairi, Ghanim Almotiri, Saad Shamsy
Introduction: Cancer-related fatigue (CRF) is a substantial medical issue that affects patients at all phases of their therapy and escalates with advanced cancer. To gather indications for the use of methylphenidate is objective of the study for the treatment of CRF, as well as to analyse the efficiency and safety of methylphenidate for the treatment of CRF so that we can tailor methylphenidate treatment to response patient only. Methods: To conduct the review of RCTs Systematic Reviews (PRISMA) statement was ideally chosen for Reporting Items. From inception through the first week of October 2021, A systematic search of the electronic databases PubMed, Embase, PSYCHInfo, and the Cochrane Library was done without any language restrictions. This helped to find all RCTs about the use of methylphenidate in patients with CRF. Search terms used were: methylphenidate, dexmethylphenidate, Ritalin, cancer, tumor, carcinoma, neoplasm, fatigue, asthenia, tiredness, CRF, and RCT. We also looked over a few journals' references to find more theoretically related papers. Results: A total of 267 citations were screened; among them, after a preliminary review 231 were excluded. 36 full-text articles assessed for eligibility; among them, 10 articles were met the inclusion criteria where all the selected articles were of good quality. Among 10 studies, 5 were identified in mixed tumor, 2 in prostate cancer, 1 in GI cancer, 1 in advanced cancer and 1 in Gynaecologic cancer. The characteristics of the studies changed broadly in terms of the treatment term and the population studied. Conclusion: To summarize up this study, cancer-related weakness could be critical clinical issue for cancer patients. Our findings suggest that methylphenidate may be useful in the treatment of CRF, but the evidence is inconclusive and has to be confirmed in a bigger study. All of the investigations, however, had tiny sample sizes. This counsel must be respected as provisional and temporary within the absence of considerable information from a single, expansive, well conducted randomized controlled trial. To support and propose new research topics and interventions, more study into biological factors affecting weariness is required.
癌症相关疲劳(CRF)是一个重要的医学问题,影响患者治疗的所有阶段,并随着癌症晚期而升级。收集哌甲酯治疗慢性心力衰竭的适应症是本研究的目的,同时分析哌甲酯治疗慢性心力衰竭的有效性和安全性,以便我们根据患者的反应量身定制哌甲酯治疗。方法:对随机对照试验进行回顾性评价,报告项目选择系统评价(PRISMA)语句。从开始到2021年10月的第一周,在没有任何语言限制的情况下,对PubMed, Embase, PSYCHInfo和Cochrane图书馆的电子数据库进行了系统搜索。这有助于找到所有关于在慢性肾功能衰竭患者中使用哌甲酯的随机对照试验。搜索词包括:哌甲酯,哌甲酯右旋,利他林,癌症,肿瘤,癌,肿瘤,疲劳,虚弱,疲劳,CRF和RCT。我们还查阅了一些期刊的参考文献,以找到更多与理论相关的论文。结果:共筛选到267篇文献;其中,经初步审查,231项被排除在外。36篇全文文章进行资格评估;其中10篇文章符合纳入标准,入选文章质量均为良好。10项研究中,混合肿瘤5项,前列腺癌2项,胃肠道癌1项,晚期癌1项,妇科癌1项。这些研究的特征在治疗期限和研究人群方面变化很大。结论:总结本研究,癌症相关虚弱可能是癌症患者的关键临床问题。我们的研究结果表明,哌醋甲酯可能对慢性肾功能衰竭的治疗有用,但证据不确定,必须在更大的研究中得到证实。然而,所有调查的样本量都很小。这一建议必须被视为是临时的,在缺乏单一的、广泛的、进行良好的随机对照试验的大量信息的情况下是临时的。为了支持和提出新的研究课题和干预措施,需要对影响疲劳的生物学因素进行更多的研究。
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引用次数: 0
Antimicrobial And Cytotoxic Effect of Selenium Nanoparticles Synthesized Using Clove and Cumin Formulation 丁香和孜然合成纳米硒的抗菌和细胞毒作用
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.03.17
Mufeetha M, R. S, T. Lakshmi
Aim: The purpose of this study is to use clove and cumin extract to produce the selenium nanoparticles via green approach. Selenium nanoparticles synthesized using clove and cumin formulation nanotechnology explores a lot of interesting approaches in the field of biomedicine. Researchers have recently developed interest in biomolecule-mediated nanoparticle production because of its eco-friendly and non-toxic properties. Clova and cumin have long been used in traditional medicine to treat various illnesses. Materials And Method: Collection of clove and cumin extract then 1 g of clove and cumin, powder was dissolved in distilled water and boiled for 5–10 min at 60–70C. The solutions were then filtered using Whatman No. 1 filter paper. The filtered extract was collected, synthesis of seleniu
目的:以丁香和孜然提取物为原料,采用绿色法制备纳米硒。以丁香和孜然为原料合成硒纳米粒子的纳米技术在生物医学领域探索了许多有趣的方法。近年来,研究人员对生物分子介导的纳米颗粒生产产生了兴趣,因为它具有环保和无毒的特性。在传统医学中,克洛瓦和孜然一直被用来治疗各种疾病。材料与方法:收集丁香和孜然提取物,取丁香和孜然提取物1 g,将粉末溶解于蒸馏水中,60 - 70℃煮沸5-10 min。然后用Whatman 1号滤纸过滤溶液。收集过滤后的提取物,合成硒
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引用次数: 0
Economics And Pricing of Certain Segments of The Pharmaceutical Market 医药市场某些细分市场的经济学和定价
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.03.21
No author No author
Pharmaceutical innovations over the past half century have made it possible to effectively treat and prevent a wide range of diseases. These achievements were so important for modern healthcare that equal access to them is considered one of the basic human rights. This article examines the economics and pricing in certain segments of the pharmaceutical market. The authors analyze various aspects affecting drug prices and price formation mechanisms in various segments of the pharmaceutical industry. The article considers the role of pharmaceutical companies, government regulators and consumers in determining the prices of medicines. The authors investigate the influence of factors such as research and development costs, production costs, patent protection, supply and demand, as well as political and regulatory measures on the formation of prices for pharmaceuticals. It is noted that although the demand for medicines is one of the driving forces of pharmaceutical spending, price increase is the main problem for health system managers, as drug prices increasingly seem unfair. The paper also analyzes various pricing strategies used by pharmaceutical companies, including differentiated pricing, cost pricing and pricing based on the value for a patient. The authors explore the advantages and limitations of each strategy and offer recommendations on the optimal choice of pricing strategy in different segments of the pharmaceutical market. The article ends with the main conclusions and offers recommendations for pharmaceutical companies and government regulators regarding effective pricing in certain segments of the pharmaceutical market, taking into account economic, political and social factors. The study has an important meaning for understanding the complexities and challenges associated with pricing in the pharmaceutical industry and helps to determine optimal pricing strategies for various market segments.
在过去的半个世纪里,医药创新使得有效治疗和预防多种疾病成为可能。这些成就对现代医疗保健非常重要,平等获得这些成就被视为一项基本人权。本文考察了医药市场某些细分市场的经济学和定价。作者分析了影响药品价格的各个方面以及医药行业各个环节的价格形成机制。这篇文章考虑了制药公司、政府监管机构和消费者在确定药品价格方面的作用。这组作者调查了诸如研发成本、生产成本、专利保护、供求关系以及政治和监管措施等因素对药品价格形成的影响。值得注意的是,尽管药品需求是药品支出的驱动力之一,但价格上涨是卫生系统管理人员面临的主要问题,因为药品价格似乎越来越不公平。本文还分析了制药公司使用的各种定价策略,包括差异化定价、成本定价和基于患者价值的定价。作者探讨了每种定价策略的优势和局限性,并对不同细分市场的药品定价策略的最优选择提出了建议。文章以主要结论结束,并为制药公司和政府监管机构提供了关于在药品市场某些细分市场有效定价的建议,考虑到经济、政治和社会因素。该研究对于理解制药行业定价的复杂性和挑战具有重要意义,并有助于确定各个细分市场的最佳定价策略。
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引用次数: 0
Comparison Of Histomorphology, Angiogenesis and Proliferation in Kappa and Lambda Restricted Plasma Cell Myelomas with Its Effect on Prognosis Kappa和Lambda限制性浆细胞骨髓瘤组织形态学、血管生成和增殖的比较及其对预后的影响
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.03.13
S. Priyadarshini, D. Basu, R. Kar, T. Dutta
Aims Of the Study: To study the type of light chain restriction and correlate it with the morphological parameters, proliferation index, angiogenesis and clinical parameters. Materials And Methods: The study includes 46 cases of myeloma diagnosed over the period of five years. The histomorphological features like plasma cell morphology, percentage of plasma cells and pattern of infiltration were studied. Immunohistochemistry for kappa and lambda light chains was done. Angiogenesis was assessed by calculating the microvessel density (MVD) using anti CD34 immunohistochemistry. Proliferation was assessed immunohistochemically using Ki67 by comparing with anti CD38 which was used to highlight the plasma cells. Results: The cases with kappa light chain restriction had significantly less of poorly differentiated morphology (7.4% vs 36.8%; p=0.02) and diffuse pattern of infiltration (22% vs 63%; p=0.01) compared to lambda. The kappa group also had lower MVD (9.9 vs 16.5; p=0.02) and proliferation index (4.7 vs 94; p=0.04) compared to the lambda. Conclusion: Therefore, the type of light chain restriction is also a prognostic factor in plasma cell myeloma.
研究目的:研究轻链限制类型及其与形态学参数、增殖指数、血管生成及临床参数的关系。材料和方法:该研究包括在五年内诊断的46例骨髓瘤病例。研究了浆细胞形态、浆细胞百分比、浸润方式等组织形态学特征。对kappa和lambda轻链进行免疫组化处理。利用抗CD34免疫组化技术计算微血管密度(MVD)来评估血管生成。用免疫组织化学方法Ki67检测浆细胞的增殖情况,并与抗CD38进行比较。结果:kappa轻链限制组低分化形态发生率显著降低(7.4% vs 36.8%;P =0.02)和弥漫性浸润模式(22% vs 63%;P =0.01)。kappa组的MVD也较低(9.9 vs 16.5;P =0.02)和增殖指数(4.7 vs 94;P =0.04)。结论:轻链限制类型也是影响浆细胞骨髓瘤预后的因素之一。
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引用次数: 0
Intelligent assistant to predict and control the home appliances in user environment through brain computer interface using hybrid deep learning model 智能助手采用混合深度学习模型,通过脑机接口对用户环境中的家电进行预测和控制
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.02.23
Dr. G. Mohanraj, D. Nithyashri, Dr. V. Siva Brahmaiah, D. Shankar, Srithar S, Mr Azariya
Brain Computer Interface (BCI) is the fast-growing research area that focuses on establishing the symbiotic relation between human brain and artificial intelligence. BCI enable the users to directly communicate with a computer by means of brain activity. Disability of a person due to medical issues such as spinal cord injury or cervical issues makes him/her to depend on caretakers for operating the home appliances. With the advancements in BCI technology, disabled people can control the home appliances through their brain activity without depending on caretaker. The existing models have accessibility challenges for the disabled people in two aspects Viz. accuracy and interaction time. The lack of high prediction accuracy as well as longer interaction time makes the existing models ineffective for the usage. To address the issues, hybridized deep learning model comprising Stacked Denoising Autoencoders and Extreme Machine learning is proposed and examined in this research. The proposed model acquires and preprocess the brain data of user and predicts the user intention with the improved accuracy. The proposed model is compared with different existing models investigated in the literature. The proposed approach achieves the maximum testing accuracy of 91.8% with 70% of training (10,500 Sample) and 30% of test validation (4,500 Sample) on the brain data of single user and takes interaction time of 0.48 seconds. The evaluation results of model validate the effectiveness of the proposed methodology.
脑机接口(BCI)是一个快速发展的研究领域,其重点是建立人类大脑与人工智能之间的共生关系。脑机接口使用户能够通过大脑活动直接与计算机进行交流。由于医疗问题(如脊髓损伤或颈椎问题)造成的残疾,使他/她依靠看护人操作家用电器。随着脑机接口技术的进步,残疾人可以通过大脑活动来控制家用电器,而不需要依靠看护人。现有的模型在准确性和交互时间两个方面对残疾人的可访问性提出了挑战。现有模型预测精度不高,交互时间较长,使其在实际应用中效果不佳。为了解决这些问题,本研究提出并检验了由堆叠去噪自编码器和极限机器学习组成的混合深度学习模型。该模型对用户大脑数据进行预处理,预测用户意图,提高了预测精度。将所提出的模型与文献中已有的不同模型进行了比较。该方法对单个用户的大脑数据进行70%的训练(10500个样本)和30%的测试验证(4500个样本),达到了91.8%的最大测试准确率,交互时间为0.48秒。模型的评价结果验证了所提方法的有效性。
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引用次数: 0
Free Radical Scavenging Activity of Clove and Cumin Formulation Mediated Selenium Nanoparticl 丁香和孜然配方介导的硒纳米颗粒自由基清除活性研究
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.03.14
Asmidha T, R. S, T. Lakshmi, S. G
Background: Selenium nanoparticles (SeNPs) have the potential to be used for various applications.The green SeNPs (selenium nanoparticles) are formed by simple mixing Withania somnifera (W. somnifera) leaves extract and selenious acid (H2SeO3) solution. Nanoparticles have revolutionized for targeted drug delivery by minimizing the toxicity and side effects that commercially available drugs may have on patients. In this study we have chosen the clove and cumin because it protects from cholesterol, inflammatory damage and it has antioxidant property Aim: The aim of the study is to analyze the antioxidant activity of clove and cumin formulation mediated selenium nanoparticles. Materials & Methods: Cumin and Clove were powdered and stored in an air-sealed container. 1g of cumin and clove formulation was mixed with 100 ml of distilled water and boiled for 15 minutes and the formulation was filtered with Whatmann No.1 filter paper. 30mM sodium selenite was prepared in 50 ml of distilled water. 50 ml of sodium selenite solution and 50 ml of clove and cumin formulation was mixed and kept in a rotary shaker for 48 hours. UV spectroscopy reading based on color change was observed. Results: The antioxidant effect of selenium nanoparticles showed a higher percentage of inhibition at 50µg/ml in DPPH Assay and H2O2 Assay. The clove and cumin extract showed an increased percentage of inhibition with increasing concentration. Conclusion: The clove and cumin formulation mediated selenium nanoparticles acts as potent antioxidant agents. It also has the least side effects compared to commercial drugs.
背景:硒纳米颗粒(SeNPs)具有广泛的应用潜力。通过将Withania somnifera (W. somnifera)叶片提取物与亚硒酸(H2SeO3)溶液简单混合形成绿色硒纳米粒子。纳米颗粒通过将市售药物可能对患者产生的毒性和副作用降至最低,彻底改变了靶向药物输送。在本研究中,我们选择丁香和孜然,因为它可以防止胆固醇,炎症损伤,并具有抗氧化性能。目的:本研究的目的是分析丁香和孜然配方介导的硒纳米颗粒的抗氧化活性。材料与方法:将孜然和丁香制成粉末,保存在气密容器中。取1g孜然丁香配方与100ml蒸馏水混合,煮沸15分钟,用Whatmann 1号滤纸过滤。用50 ml蒸馏水配制30mM亚硒酸钠。将亚硒酸钠溶液50 ml与丁香孜然制剂50 ml混合,在旋转摇床中保存48小时。观察了基于颜色变化的紫外光谱读数。结果:纳米硒对DPPH和H2O2的抗氧化作用在50µg/ml时均有较高的抑制率。丁香和孜然提取物的抑制率随浓度的增加而增加。结论:丁香、孜然制剂介导的纳米硒具有较强的抗氧化作用。与商业药物相比,它的副作用也最小。
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引用次数: 0
Exploring the Potential of Wild Salvia macilenta Boiss. of Oman as Nutraceuticals 探索野生鼠尾草的潜力。阿曼的营养保健品
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.02.07
S. Nadaf, Jamaleldin Sabahi, A. Lawati, Almandhar Mamari, F. Kindi, Abdulaziz Mawal, Houda Ruqaishi, Ahmed Ghafri, A. Farsi, N. Saady
Background: Several plant extracts are now prescribed as nutraceuticals for human ailments in developed countries like China, France, Germany, the UK, USA including Oman. The objective of this study was to investigate on morphological characteristics, chlorophyll content of leaves, leaf chlorophyll, essential oil, and its chemical compounds to examine the possibility of isolating its incipient chemical compounds commercially in wild Salvia macilenta Boiss. Methods: Leaf samples of ten randomly selected Salvia plants were collected from two diversified wadi habitats. Edaphic features of the sites were recorded and their chemical contents, determined. Morphological characters were measured and chlorophyll contents, recorded. The essential oil (EO) was extracted and analyzed for chemical compounds. The data were statistically analyzed. Results: Al-Khoud plants had higher expressivity in all the morphological characters and chlorophyll contents than those of Halban. The EO yields of Salvia macilenta were 0.06 % (v/w) and 0.088 % (v/w) for the plant samples of Al-Khoud and Halban, respectively. The values of commonly occurring chemical contents of plants of two sites were found statistically similar (p<0.05). The top ten chemical compounds of plants contributed over 75% of the total and were common with seven chemical compounds. Of the ten top chemical compounds, alpha-Pinene, beta- Eudesmol, and Nerolidol contributed the highest in the same range from 61.13% (Al-Khoud) to 62.95% (Halban). These three compounds have the potential for use in both the pharmaceutical and perfumery industries. Conclusion: Wild Salvia plants can be exploited with Good Agriculture Practices for their medicinal and aromatic application.
背景:在中国、法国、德国、英国、美国(包括阿曼)等发达国家,几种植物提取物现在被作为人类疾病的营养保健品处方。本研究旨在研究野生鼠尾草的形态特征、叶片叶绿素含量、叶片叶绿素含量、挥发油及其化学成分,探讨其早期化学成分商业化分离的可能性。方法:随机选取10株鼠尾草属植物,采集不同生境的鼠尾草叶样。记录了这些遗址的地理特征,并测定了它们的化学成分。测定其形态特征,记录叶绿素含量。提取精油并分析其化学成分。对数据进行统计学分析。结果:Al-Khoud植株在所有形态特征和叶绿素含量上都比Halban植株具有更高的表达能力。在Al-Khoud和Halban植物样品中,鼠尾草的EO产率分别为0.06% (v/w)和0.088% (v/w)。两地植物常见化学物质含量差异有统计学意义(p<0.05)。植物前十位化合物占总化合物的75%以上,其中有7种化合物为常见化合物。在前10位的化合物中,α -蒎烯、β -桉叶酚和橙花醇的贡献率最高,在相同的范围内,从61.13% (Al-Khoud)到62.95% (Halban)。这三种化合物在制药和香水工业中都有潜在的用途。结论:野生鼠尾草具有良好的药用和芳香性,可根据良好农业规范进行开发利用。
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引用次数: 0
Trends in Euphorbia hirta Research: A 30-year Bibliometric Appraisal of the Present Realities 大戟研究的趋势:对当前现实的30年文献计量学评价
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.01.16
I. Elisha, J. Gotep, M. Makoshi, J. Usman, Blessing Shok, K. Oyebade, Z. Muhammad, Itodo Akogwu, K. Tondo, Hong Joseph, Edirin Akpojosevbe, B. Yakubu, Maryam Division, N. Vom, Plateau Stat
Euphorbia hirta L.. is a common herb with global spread. Different parts of E. hirta are used in traditional medicine for the treatment of a variety of human and animal conditions, such as skin diseases, inflammation, digestive and respiratory disorders. This bibliometric study aimed to provide a panoramic view of the publication landscape in the last thirty years of Euphorbia hirta research. VOSviewer was used to analyze 603 documents retrieved from Scopus database during the period, 1992 to 2021. Dominant research themes in the last thirty years were centred on the application of crude extracts or isolated compounds from E. hirta against diabetes, oxidative stress, inflammation, tuberculosis, snake bite, gastro-intestinal disorders, respiratory infections, skin pathologies, bacterial, fungal and viral infections. Current paradigm shift in E. hirta research are targeted at improving the efficacy of phytomolecules against resistant bacterial pathogens and cancer cells via green synthesis of nanoparticles and the application of in silico technologies in predicting the activities of nano-phytomolecules against SARS-CoV-2 and the dengue virus. This study recommends further research in the determination of the bioavailability of molecules in in vivo models. Researchers should carry out more preclinical investigations with the aim of establishing the pharmacokinetic and pharmacodynamic properties of phytocompounds instead of relying solely on in silico predictions.
大戟hirta L..是一种常见的草本植物,遍布全球。hirta的不同部分在传统医学中用于治疗各种人类和动物疾病,如皮肤病、炎症、消化和呼吸系统疾病。本文献计量学研究旨在提供近三十年大戟研究的出版景观全景视图。使用VOSviewer对1992 ~ 2021年Scopus数据库检索的603篇文献进行分析。在过去的三十年中,主要的研究主题集中在应用hirta的粗提取物或分离化合物来治疗糖尿病、氧化应激、炎症、肺结核、蛇咬伤、胃肠道疾病、呼吸道感染、皮肤病变、细菌、真菌和病毒感染。目前,hirta研究的范式转变旨在通过纳米颗粒的绿色合成和应用硅技术预测纳米植物分子对SARS-CoV-2和登革热病毒的活性,提高植物分子对耐药细菌病原体和癌细胞的功效。本研究建议进一步研究确定分子在体内模型中的生物利用度。研究人员应该开展更多的临床前研究,目的是建立植物化合物的药代动力学和药效学特性,而不是仅仅依靠计算机预测。
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引用次数: 1
Review Of Physiological Responses to Eight-Week Basketball Trainings 八周篮球训练的生理反应回顾
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.03.25
Abdullah Demirli, Emre Yamaner, Eda elik, A. Moghanlou
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引用次数: 0
Application of Convolutional Neural Network for Cancer Disease Diagnosis – A Deep Learning based Approach 卷积神经网络在癌症诊断中的应用——一种基于深度学习的方法
IF 0.6 Pub Date : 2023-01-01 DOI: 10.5455/jcmr.2023.14.01.14
S. Sivanantham, D. M, A. Velmurugan, Dr. T. Deepa, Akshaya V
Human are vulnerable to the terrible disease named cancer, which is a major factor in the high mortality rate. There are currently lesser DLTs (Deep learning techniques) or MLTs (machine learning techniques) for identifying cancer, despite advances in cancer treatment approaches. The proposed work performs a comparative study which compares the some significant DLTs like RFs (Random Forests), LSTMs (Long Short Term Memories), CNNs (Convolutional Neural Networks) and BPNNs (Back Propagation Neural Networks). These techniques are used here in this work for classification problem. The techniques are made to classify the medical records into benignand cancerous. Three pathological datasets are used to evaluate the above said techniques. CNNs provide the best performance of 0.97 accuracy and it is even good at its values of precisions, recalls and F1 scores.
人类很容易患上一种叫做癌症的可怕疾病,这是造成高死亡率的一个主要因素。尽管癌症治疗方法取得了进展,但目前用于识别癌症的dlt(深度学习技术)或mlt(机器学习技术)较少。提出的工作进行了一项比较研究,比较了一些重要的dlt,如rf(随机森林),LSTMs(长短期记忆),cnn(卷积神经网络)和bpnn(反向传播神经网络)。这些技术在本工作中用于分类问题。该技术用于将医疗记录分为良性和恶性。三个病理数据集用于评估上述技术。cnn提供了0.97准确率的最佳性能,甚至在精度,召回和F1分数方面也很好。
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引用次数: 0
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Journal of Complementary Medicine Research
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