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Int. J. Bioinform. Res. Appl.最新文献

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Autism detection using machine learning 使用机器学习进行自闭症检测
Int. J. Bioinform. Res. Appl. Pub Date : 2021-09-22 DOI: 10.1504/ijbra.2021.117947
U. B. Mahadevaswamy, Rohan Ravikumar, Rachana Mahadev, Kadaparthi Varun Rao, K. Anurag
{"title":"Autism detection using machine learning","authors":"U. B. Mahadevaswamy, Rohan Ravikumar, Rachana Mahadev, Kadaparthi Varun Rao, K. Anurag","doi":"10.1504/ijbra.2021.117947","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117947","url":null,"abstract":"Autism is one of the most eminent bio-neurological developmental disorders characterised by disablement in social-communication and behavioural aspects like repetitive behaviours and restrictive in...","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131269474","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: 1
A review of dimensionality reduction methods applied on clinical data of diabetic neuropathy complaints 降维方法在糖尿病神经病变主诉临床资料中的应用综述
Int. J. Bioinform. Res. Appl. Pub Date : 2021-09-22 DOI: 10.1504/ijbra.2021.117930
R. Usharani, M. Murali
{"title":"A review of dimensionality reduction methods applied on clinical data of diabetic neuropathy complaints","authors":"R. Usharani, M. Murali","doi":"10.1504/ijbra.2021.117930","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117930","url":null,"abstract":"Aim of this paper is to apply Dimensionality Reduction techniques on a large clinical data of Type II diabetes patients in identifying the causes and symptoms that they tend to develop neuropathic ...","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131592329","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
A system for continuous monitoring of food intake in patients with dysphagia 吞咽困难患者食物摄取量的连续监测系统
Int. J. Bioinform. Res. Appl. Pub Date : 2021-09-22 DOI: 10.1504/ijbra.2021.117931
I. Barbalho, P. Silva, C. M. Maia, C. Leite
{"title":"A system for continuous monitoring of food intake in patients with dysphagia","authors":"I. Barbalho, P. Silva, C. M. Maia, C. Leite","doi":"10.1504/ijbra.2021.117931","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117931","url":null,"abstract":"The use of mobile devices for continuous monitoring of patients with a specific pathology can significantly help in their recovery. In this perspective, this work presents the development of an mHe...","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132819466","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: 1
Prediction of Alzheimer associated proteins (PAAP): a perspective to understand Alzheimer disease for therapeutic design 预测阿尔茨海默病相关蛋白(PAAP):了解阿尔茨海默病治疗设计的一个视角
Int. J. Bioinform. Res. Appl. Pub Date : 2021-09-22 DOI: 10.1504/ijbra.2021.117929
Gaurav Gupta, Neha Gupta, Ankit Gupta, P. Vaidya, Girish Kumar Singh, V. Jaiswal
{"title":"Prediction of Alzheimer associated proteins (PAAP): a perspective to understand Alzheimer disease for therapeutic design","authors":"Gaurav Gupta, Neha Gupta, Ankit Gupta, P. Vaidya, Girish Kumar Singh, V. Jaiswal","doi":"10.1504/ijbra.2021.117929","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117929","url":null,"abstract":"Alzheimer disease (AD) is a complex progressive neurodegenerative disease with no cure and its occurrence rate increased worldwide with an increase of human life span. It became the sixth killer in...","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115249642","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: 2
Multi spectral image classification based on deep feature extraction using deep learning technique 基于深度特征提取的多光谱图像分类
Int. J. Bioinform. Res. Appl. Pub Date : 2021-08-13 DOI: 10.1504/ijbra.2021.117169
Y. Muralimohanbabu, K. Radhika
{"title":"Multi spectral image classification based on deep feature extraction using deep learning technique","authors":"Y. Muralimohanbabu, K. Radhika","doi":"10.1504/ijbra.2021.117169","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117169","url":null,"abstract":"Remote sensing image classification accuracy depends on the extraction of Deep Feature Extraction. Unsupervised deep feature extraction employs single-layer and deep convolutional networks. Application of supervised convolutional networks is highly challenging for multi- and hyper-spectral imagery when input data dimensionality is high and labelled set is limited. To accomplish the mentioned, greedy layer-wise unsupervised pre-training combined with an appropriate algorithm for unsupervised learning of sparse features is proposed. This algorithm concentrates on sparse representations and sparsity of the extracted features at a time. The proposed method is applied for land use/cover classification of different spatial/spectral remote imagery. Comparing the current algorithms for classification, the proposed method performs well. Extraction of powerful discriminative features is possible with single-layer convolutional networks to obtain detailed results in classification. Different spatial/spectral parameters are calculated to quantify the results.","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"960 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114102392","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: 1
CS-ABC: Cuckoo Search based adaptive boosting classifier for malaria infected erythrocyte detection CS-ABC:基于布谷鸟搜索的疟疾感染红细胞检测自适应增强分类器
Int. J. Bioinform. Res. Appl. Pub Date : 2021-08-13 DOI: 10.1504/ijbra.2021.117174
D. Jagtap, N. U. Rani
{"title":"CS-ABC: Cuckoo Search based adaptive boosting classifier for malaria infected erythrocyte detection","authors":"D. Jagtap, N. U. Rani","doi":"10.1504/ijbra.2021.117174","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117174","url":null,"abstract":"The contribution of this manuscript is a supervised learning technique that enables to detect the malaria scope in given erythrocyte. Contrast to former efforts in this region, this study utilises ...","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123497044","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
Infected cells of mammogram image and performance analysis using imaging techniques 用成像技术对感染细胞的乳房x线图像及性能分析
Int. J. Bioinform. Res. Appl. Pub Date : 2021-08-13 DOI: 10.1504/ijbra.2021.10040349
P. K. Diderot, N. Vasudevan
{"title":"Infected cells of mammogram image and performance analysis using imaging techniques","authors":"P. K. Diderot, N. Vasudevan","doi":"10.1504/ijbra.2021.10040349","DOIUrl":"https://doi.org/10.1504/ijbra.2021.10040349","url":null,"abstract":"Radiological image acquisition of mammogram and interpretation of cell count with image processing techniques is the focus behind this work. Image processing techniques incorporated mammogram image based nuclei count (MINC) calculates cell count and pixel intensity in malignant and entire breast area. MINC thus provides pixel based supervision of the image in the entire area and its malignant area and along with corresponding view of Craniocaudal (CC) and Mediolateral oblique (MLO). Specific focus has been done with calcification type which are malignant and PLEMORPHIC in nature. In addition, Region Morphometry features of area, perimeter, circularity and elongation has been discussed for the infected area.","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127473852","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
Fusion of registered medical images using deep learning convolutional neural network with statistics based steered image filter 利用深度学习卷积神经网络和基于统计的导向图像滤波器融合配准医学图像
Int. J. Bioinform. Res. Appl. Pub Date : 2021-08-13 DOI: 10.1504/ijbra.2021.117170
Suneetha Rikhari, Sandeep Jaiswal
{"title":"Fusion of registered medical images using deep learning convolutional neural network with statistics based steered image filter","authors":"Suneetha Rikhari, Sandeep Jaiswal","doi":"10.1504/ijbra.2021.117170","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117170","url":null,"abstract":"Medical image fusion technique plays an increasingly critical role in many clinical applications by deriving the complementary information from medical images with different modalities. In this, a ...","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114253574","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
Cuckoo search based deterministic scale (CSDS) for computer aided heart disease detection 基于布谷鸟搜索的确定性尺度(CSDS)用于计算机辅助心脏病检测
Int. J. Bioinform. Res. Appl. Pub Date : 2021-08-13 DOI: 10.1504/ijbra.2021.117172
Jayavani Vankara, G. L. Devi
{"title":"Cuckoo search based deterministic scale (CSDS) for computer aided heart disease detection","authors":"Jayavani Vankara, G. L. Devi","doi":"10.1504/ijbra.2021.117172","DOIUrl":"https://doi.org/10.1504/ijbra.2021.117172","url":null,"abstract":"Predicative analysis in medical domain for the computer-aided disease. Prediction becomes a crucial practice in regular clinical practices, which is since, the false alarming or delay in disease detection is inversely proportionate to the clinical experience of the medical practitioner. Unlike the other domains, the sensitivity that is the accuracy in disease-prone is very much crucial in clinical practices. Particularly, the accuracy and sensitivity are more crucial in computer-aided heart disease prediction methods. Hence, the recent research contributions are quantifying the possibilities of optimising machine learning approaches to achieve significance in computer-aided methods to perform predictive analysis on heart disease detection. Regarding this context, this manuscript is defining a supervised learning approach by cuckoo search based deterministic scale (CSDS) to perform heart disease prediction. The experimental study which indicates the significance of the proposed model is related to detection accuracy and sensitivity along with other performance metrics.","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115212214","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
Visualisation of meniscus from knee joint MRI and assessment of its size differences due to age, gender and BMI 膝关节MRI半月板的成像及年龄、性别和BMI对半月板大小差异的评估
Int. J. Bioinform. Res. Appl. Pub Date : 2021-08-13 DOI: 10.1504/ijbra.2021.10040347
M. Holi, J.S. Sujana Theja, R. Raman, M. S. Mallikarjunaswamy
{"title":"Visualisation of meniscus from knee joint MRI and assessment of its size differences due to age, gender and BMI","authors":"M. Holi, J.S. Sujana Theja, R. Raman, M. S. Mallikarjunaswamy","doi":"10.1504/ijbra.2021.10040347","DOIUrl":"https://doi.org/10.1504/ijbra.2021.10040347","url":null,"abstract":"Menisci play a major role in cushioning and distributing the stress due to body weight over the cartilage surface of femur and tibia. They also contribute in joint lubrication and provide stability...","PeriodicalId":434900,"journal":{"name":"Int. J. Bioinform. Res. Appl.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129070149","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
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