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International Journal of Medical Engineering and Informatics最新文献

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CIAE: class imbalance aware ensemble framework to predict drug side effects CIAE:类不平衡感知集成框架预测药物副作用
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2021.10041984
Kanica Sachdev, M. Gupta
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引用次数: 0
Detection and classification of lung cancer using deep neural network 基于深度神经网络的肺癌检测与分类
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.10054175
M. V. Kumar, S. B. Kumar
{"title":"Detection and classification of lung cancer using deep neural network","authors":"M. V. Kumar, S. B. Kumar","doi":"10.1504/ijmei.2023.10054175","DOIUrl":"https://doi.org/10.1504/ijmei.2023.10054175","url":null,"abstract":"","PeriodicalId":39126,"journal":{"name":"International Journal of Medical Engineering and Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66719466","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}
引用次数: 0
Myocardial infarction detection in late gadolinium enhancement cardiac MRI 晚期钆增强心脏MRI对心肌梗死的检测
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.10055269
M. Messadi, Sarra Dali Youcef
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引用次数: 0
Feasibility of automatic differential diagnosis of endodontic origin periapical lesions - a pilot study 根管源性根尖周病变自动鉴别诊断的可行性-一项初步研究
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.133109
Jay Patel, Dinesh P. Mital, Vaishali Singhal, Shankar Srinivasan, Huanmei Wu, Sashi Mehta
{"title":"Feasibility of automatic differential diagnosis of endodontic origin periapical lesions - a pilot study","authors":"Jay Patel, Dinesh P. Mital, Vaishali Singhal, Shankar Srinivasan, Huanmei Wu, Sashi Mehta","doi":"10.1504/ijmei.2023.133109","DOIUrl":"https://doi.org/10.1504/ijmei.2023.133109","url":null,"abstract":"","PeriodicalId":39126,"journal":{"name":"International Journal of Medical Engineering and Informatics","volume":"15 1","pages":"430-441"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66719969","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}
引用次数: 0
Identification and classification of schizophrenic speech using convolutional neural network for medical healthcare 基于卷积神经网络的精神分裂症语音识别与分类
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.134534
Akshita Abrol, Nisha Kapoor, Parveen Kumar Lehana
Schizophrenia is a brain disorder that significantly affects the quality of life of affected individuals. One of its prominent symptoms is the induction of changes in the acoustics of the patients. In the absence of definite methods for its diagnosis, speech analysis can help in the preliminary screening of the patients. In this paper, an automated method using deep learning for differentiating between individuals with schizophrenia and psychosis from healthy individuals is suggested. Using convolutional neural networks with speech spectrograms as input, a classification accuracy of 87.01% has been obtained for levels of schizophrenia and 95.26% for differentiating between schizophrenic and healthy speech.
精神分裂症是一种严重影响患者生活质量的脑部疾病。其突出症状之一是诱导患者的声学变化。在缺乏明确的诊断方法的情况下,语音分析可以帮助对患者进行初步筛选。本文提出了一种利用深度学习自动区分精神分裂症和精神病患者与健康个体的方法。使用以语音谱图为输入的卷积神经网络,对精神分裂症水平的分类准确率为87.01%,对精神分裂症和健康语音的区分准确率为95.26%。
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引用次数: 0
Data mining approach for nutrition score calculation of geriatric patients 基于数据挖掘的老年患者营养评分计算方法
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.10055068
V. P. Suryawanshi, R. Phalnikar
{"title":"Data mining approach for nutrition score calculation of geriatric patients","authors":"V. P. Suryawanshi, R. Phalnikar","doi":"10.1504/ijmei.2023.10055068","DOIUrl":"https://doi.org/10.1504/ijmei.2023.10055068","url":null,"abstract":"","PeriodicalId":39126,"journal":{"name":"International Journal of Medical Engineering and Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66719625","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}
引用次数: 0
An optimised machine learning approach using Intel oneAPI for detecting cardiovascular system failure 一种优化的机器学习方法,使用英特尔oneAPI检测心血管系统故障
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.10057866
S. K. Vasudevan, A. Srilakshmi, Akshay Ramakrishnan
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引用次数: 0
Efficacy and bioequivalence study of Zithromax and Azithral a drug for the treatment COVID-19 齐舒美与阿齐唑治疗COVID-19的疗效及生物等效性研究
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.10056861
H. Youcef
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引用次数: 0
Managing infectious and inflammatory complications in closed kidney injuries on the basis of fuzzy models 基于模糊模型的闭合性肾损伤感染及炎症并发症处理
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.127253
Nikolay Korenevskiy, Seregin Stanislav Petrovich, Riad Taha Al Kasasbeh, Ayman Ahmad Alqaralleh, Gennadij Vjacheslavovich Siplivyj, Mahdi Salman Alshamasin, Sofia Nikolaevna Rodionova, Ivan Mikhailovich Kholimenko, Maxim Yurievich Ilyash
The aim of this work is to reduce the time and cost of forecasting, preventing and treating patients with infectious complications with kidney injuries. The study is based on the results of a retrospective analysis of the medical records of 123 patients with various forms of kidney injury. Using the methods of analysis, it was shown that in order to achieve acceptable for practice quality prediction of possible infectious and inflammatory complications, the level of psycho-emotional stress and energy of biologically active points 'connected' to the kidneys is used as additional prognostic signs, with the confidence in the correct prediction increasing to 0.93.
这项工作的目的是减少预测、预防和治疗肾损伤患者的感染性并发症的时间和成本。这项研究是基于对123名不同形式肾损伤患者的医疗记录进行回顾性分析的结果。使用分析方法,结果表明,为了实现可接受的实践质量预测可能的感染和炎症并发症,心理情绪压力水平和与肾脏“连接”的生物活性点的能量被用作额外的预后迹象,正确预测的置信度增加到0.93。
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引用次数: 3
An intelligent method for predicting cardiac disease based on PSO-convolutional neural network 基于pso -卷积神经网络的心脏病智能预测方法
Q3 Medicine Pub Date : 2023-01-01 DOI: 10.1504/ijmei.2023.10054940
P. B. Prince, M. Balamurugan
{"title":"An intelligent method for predicting cardiac disease based on PSO-convolutional neural network","authors":"P. B. Prince, M. Balamurugan","doi":"10.1504/ijmei.2023.10054940","DOIUrl":"https://doi.org/10.1504/ijmei.2023.10054940","url":null,"abstract":"","PeriodicalId":39126,"journal":{"name":"International Journal of Medical Engineering and Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66719575","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}
引用次数: 0
期刊
International Journal of Medical Engineering and Informatics
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