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Advances in Medical Technologies and Clinical Practice最新文献

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Molecular Modelling Studies of Novel COX-2 Inhibitors 新型COX-2抑制剂的分子模拟研究
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7326-5.CH008
A. Puratchikody, A. Umamaheswari, N. Irfan, D. Sriram
{"title":"Molecular Modelling Studies of Novel COX-2 Inhibitors","authors":"A. Puratchikody, A. Umamaheswari, N. Irfan, D. Sriram","doi":"10.4018/978-1-5225-7326-5.CH008","DOIUrl":"https://doi.org/10.4018/978-1-5225-7326-5.CH008","url":null,"abstract":"Molecular modelling uses theoretical and computational chemistry, which offers insight into the nature of molecular systems. This chapter highlights the theoretical explanation of molecular modelling methods and describes the designing of novel tyrosine COX-2 inhibitors using molecular modelling as an example. As a first step, fragment-based drug design is used to design the novel tyrosine analogues and ligand-based drug design such as QSAR, and pharmacophore was used to identify the descriptors, ensemble of steric and electronic features, which is responsible for the selective COX-2 inhibition. The next step, structure-based drug design, was used to analyses intra- and intermolecular interactions in the drug receptor system to improve the binding affinity and pharmacokinetic properties. Finally, the pharmacokinetic and toxicity properties were predicted quantitatively using rationalization of observed structure-activity relationships and the results are reported.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121732962","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
Exploring the Role of ICTs in Healthy Aging 探索信息通信技术在健康老龄化中的作用
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-1937-0
{"title":"Exploring the Role of ICTs in Healthy Aging","authors":"","doi":"10.4018/978-1-7998-1937-0","DOIUrl":"https://doi.org/10.4018/978-1-7998-1937-0","url":null,"abstract":"","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124688817","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: 6
Pandemic Management Using Artificial Intelligence-Based Safety Measures 使用基于人工智能的安全措施进行流行病管理
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7188-0.ch007
Meghana Nain, Shilpa Sharma, Sandeep Chaurasia
{"title":"Pandemic Management Using Artificial Intelligence-Based Safety Measures","authors":"Meghana Nain, Shilpa Sharma, Sandeep Chaurasia","doi":"10.4018/978-1-7998-7188-0.ch007","DOIUrl":"https://doi.org/10.4018/978-1-7998-7188-0.ch007","url":null,"abstract":"The pandemic corona virus disease (COVID-19) caused by the virus ‘SARS-CoV-2' continues affecting the health and affluence of the worldwide population. The role of artificial intelligence in improving safety and health conditions has been studied in the chapter. The various fields of artificial intelligence such as machine learning, computer vision, deep learning, and natural language processing are contributing to almost every field ranging from healthcare, agriculture, automotive, astronomy, and many others. For overcoming a global outbreak such as COVID-19, conventional approaches are not feasible enough, and therefore the requirement for the more robust and automated techniques for making predictions in advance is essential. The vision of this chapter is to assess and survey the impact of artificial intelligence-based approaches in the management of pandemics and recommend procedures for the enhancement of the currently used techniques along with the imminent research areas in artificial intelligence for controlling pandemics.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130243711","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
Landmark Recognition Using Ensemble-Based Machine Learning Models 使用基于集成的机器学习模型进行地标识别
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7188-0.ch005
Kanishk Bansal, Amar Singh Rana
{"title":"Landmark Recognition Using Ensemble-Based Machine Learning Models","authors":"Kanishk Bansal, Amar Singh Rana","doi":"10.4018/978-1-7998-7188-0.ch005","DOIUrl":"https://doi.org/10.4018/978-1-7998-7188-0.ch005","url":null,"abstract":"Recognizing landmarks in images with machine learning is an excellent topic for research today. Landmark recognition is an important field in computer vision. In this field, we train the machine learning models to identify and recognize the closed distinctly distinguishable objects in a digital image. In general, if we consider a digital image to be a set of coordinates of different pixels, a landmark is said to be enclosed in that closed polygon formed by the pixels that may be considered as a distinct and distinguishable thing in one or the other sense. Landmark recognition is an important subject area of image classification since it is considered as one of the first steps towards reaching complete computer vision. The extremely broad definition of a landmark makes it eligible to be considered as one of the leading problems in image classification tasks. Since the task is considered to be a very broad one, the solutions to the task hold no easy procedures. This chapter explores landmark recognition using ensemble-based machine learning models.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128928163","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
AI Innovation in Medical Imaging Diagnostics 医学影像诊断中的人工智能创新
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-3092-4
{"title":"AI Innovation in Medical Imaging Diagnostics","authors":"","doi":"10.4018/978-1-7998-3092-4","DOIUrl":"https://doi.org/10.4018/978-1-7998-3092-4","url":null,"abstract":"","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117242446","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
Depression Reduction for Patients With Type 2 Diabetes via E-Health Interventions 通过电子健康干预减少2型糖尿病患者抑郁
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-6067-8.ch006
C-Y Wong
{"title":"Depression Reduction for Patients With Type 2 Diabetes via E-Health Interventions","authors":"C-Y Wong","doi":"10.4018/978-1-5225-6067-8.ch006","DOIUrl":"https://doi.org/10.4018/978-1-5225-6067-8.ch006","url":null,"abstract":"Diabetes is one of the most significant global health emergencies affecting populations in the 21st century, where one out of 15 adults has type II diabetes. Impaired glucose tolerance contributes to more than half of all causes of diabetes. Further, depression has adverse economic and health outcomes. The condition also contributes to poor outcomes in screening efforts among type II diabetes patients. E-health intervention is one of the means for reducing depression. There is, therefore, a need to investigate whether the strategy effectively reduces depression among patients with type II diabetes. The research examined the e-health interventions, which include personal health records (PHRs), diabetes mobile apps, patient portals, information repositories, telehealth, and electronic health records (EHRs). The research findings indicated that e-health would significantly help in reducing depression among people with type II diabetes.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"32 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124330316","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
Early Detection of Neurological Disorders Using Machine Learning Systems 使用机器学习系统早期检测神经系统疾病
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-8567-1
{"title":"Early Detection of Neurological Disorders Using Machine Learning Systems","authors":"","doi":"10.4018/978-1-5225-8567-1","DOIUrl":"https://doi.org/10.4018/978-1-5225-8567-1","url":null,"abstract":"","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122405151","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: 13
Real-Time EEG Device for Epilepsy Detection Using Wavelet Transform and Support Vector Machine 基于小波变换和支持向量机的癫痫实时脑电图检测装置
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8018-9.ch007
Sharad S. Jagtap, R. M.
{"title":"Real-Time EEG Device for Epilepsy Detection Using Wavelet Transform and Support Vector Machine","authors":"Sharad S. Jagtap, R. M.","doi":"10.4018/978-1-7998-8018-9.ch007","DOIUrl":"https://doi.org/10.4018/978-1-7998-8018-9.ch007","url":null,"abstract":"This chapter gives an effective and efficient technique that can detect epilepsy in real time. It is low cost, low power, and real-time devices that can easily detect epilepsy. Along with EEG device, one can upgrade with GSM module to alert the doctors and parents of patients about its occurrence to prevent a sudden fall, which may cause injury and death. The accuracy of this EEG device depends on the quality of feature extraction technique and classification algorithm. In this chapter, support vector machine (SVM) is used as a classifier. Wavelet transform gives feature extraction, which helps to train data and to detect normal or seizure patients. Discrete wavelet transform (DWT) decomposes the signals into three decomposition levels. In this detection, mean, median, and non-linear parameter entropy were calculated for every sub-band as key parameters. The extracted features are then applied to SVM classifier for the classification. Better accuracy of classification is obtained using wavelet and SVM classifier.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128438923","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
Despeckling Algorithms for Optical Coherence Tomography Images 光学相干层析成像的去斑算法
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-5225-7796-6.CH013
B. N. Anoop, G. Girish, P. Sudeep, Jeny Rajan
{"title":"Despeckling Algorithms for Optical Coherence Tomography Images","authors":"B. N. Anoop, G. Girish, P. Sudeep, Jeny Rajan","doi":"10.4018/978-1-5225-7796-6.CH013","DOIUrl":"https://doi.org/10.4018/978-1-5225-7796-6.CH013","url":null,"abstract":"Optical coherence tomography (OCT) is a non-invasive imaging technique widely used in ophthalmology. The presence of speckle affects the quality of OCT images. Despeckling is necessary to improve its visual quality, and it is an integral part of software packages used for the computerized analysis of OCT. Even though a few methods for despeckling OCT are available in the literature, a cross-comparison of their performance is not known to be available. In this chapter, the techniques available in the literature for despeckling the OCT images have been identified. The results of the despeckling algorithms are compared both qualitatively and quantitatively by concerning the noise suppression capability and feature preservation. Among the available techniques, iterative adaptive unbiased (IAUB) filter is found to be superior as far as its performance regarding despeckling on retinal OCT images.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128590253","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: 7
Virtual Reality Scene Development for Upper Limb Tendonitis Rehabilitation Game 上肢肌腱炎康复游戏虚拟现实场景开发
Advances in Medical Technologies and Clinical Practice Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8790-4.ch005
K. Sie, Yuk-Ming Tang, K. Fong
{"title":"Virtual Reality Scene Development for Upper Limb Tendonitis Rehabilitation Game","authors":"K. Sie, Yuk-Ming Tang, K. Fong","doi":"10.4018/978-1-7998-8790-4.ch005","DOIUrl":"https://doi.org/10.4018/978-1-7998-8790-4.ch005","url":null,"abstract":"With the development of new technology, it is common that excessive use puts undue strain on the hands and finger tendons. This increases the risk of developing many forms of tendonitis. The objective in this project is to use the latest virtual reality (VR) technology to build a preventive rehabilitation game for raising public awareness of upper limb tendonitis. A survey of 141 respondents was first undertaken to find how much the general public knows about upper limb tendonitis. A virtual game is then created using the Unity3D game engine and 3Ds Max for 3D modeling. It is evaluated after being tested by five participants. The majority of respondents to the questionnaire did not know the cause or implications of tendon issues. Almost half of them spent 8.8 hours per day on computers and smartphones, with only 4 minutes per day spent exercising their hands and fingers. The participants gave positive comments towards the designed rehabilitation game and believe it can help to avoid fatigue caused by prolonged smartphone and computer use.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127322930","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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