標(biāo)題: Titlebook: Data-Driven Approach for Bio-medical and Healthcare; Nilanjan Dey Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusi [打印本頁] 作者: 技巧 時(shí)間: 2025-3-21 20:04
書目名稱Data-Driven Approach for Bio-medical and Healthcare影響因子(影響力)
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書目名稱Data-Driven Approach for Bio-medical and Healthcare網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data-Driven Approach for Bio-medical and Healthcare被引頻次
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書目名稱Data-Driven Approach for Bio-medical and Healthcare年度引用
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書目名稱Data-Driven Approach for Bio-medical and Healthcare讀者反饋
書目名稱Data-Driven Approach for Bio-medical and Healthcare讀者反饋學(xué)科排名
作者: PHONE 時(shí)間: 2025-3-21 22:21 作者: 允許 時(shí)間: 2025-3-22 03:13
David Hawkridge,John Jaworski,Harry McMahonh care are underlined and discussed. People, policy, and technology aspects are also explained and deliberated. Moreover, how privacy is related to people and policy to ensure the success in data-driven healthcare practices is discussed in this chapter. Besides, people’s perceptions about privacy ar作者: 用不完 時(shí)間: 2025-3-22 06:28 作者: Nmda-Receptor 時(shí)間: 2025-3-22 10:43 作者: cardiovascular 時(shí)間: 2025-3-22 14:12 作者: cardiovascular 時(shí)間: 2025-3-22 17:33 作者: 強(qiáng)所 時(shí)間: 2025-3-23 00:53
David Hawkridge,John Jaworski,Harry McMahoninformation about the COVID-19 in Pune region; the results of the same are presented in the paper. We also present the novel approach for the prediction of region-specific COVID-19 cases. We hope that our research work helps the locals to better understand the COVID-19 situation and motivate other r作者: 變白 時(shí)間: 2025-3-23 05:04 作者: 不在灌木叢中 時(shí)間: 2025-3-23 07:36 作者: adulterant 時(shí)間: 2025-3-23 13:22
Personal Health Record Data-Driven Integration of Heterogeneous Data, connected with the patient that are mostly heterogeneous. All data types for the patient’s health and medical condition can be integrated into cloud-based PHR owned and managed by the patient to provide their data with them where the patient resides. In addition, the lack of information on genetic 作者: essential-fats 時(shí)間: 2025-3-23 17:30 作者: 重力 時(shí)間: 2025-3-23 20:33
Explaining Decisions of Quantum Algorithm: Patient Specific Features Explanation for Epilepsy Disea the classification performance, we used machine quantum learning (QML) techniques, which are more efficient than traditional deep learning classification. This QML working strategy is related to quantum computing. We have used quantum convolutional neural network (QCCN) to predict the epilepsy clas作者: 過度 時(shí)間: 2025-3-23 23:45 作者: Extort 時(shí)間: 2025-3-24 05:25
Growth Trend of Swine Flu and COVID-19 Pandemic Affected Patients Using Fuzzy Cellular Automata: A aused by virus H1N1) and COVID-19 pandemic (triggered by SARS-CoV-2) are caused by RNA virus, the infectivity and virulence of the two are not the same in a particular country. We could show that for the same virus, the nature of growth curve is not the same in different countries. It was found that作者: 幻想 時(shí)間: 2025-3-24 09:21
Data-Driven Approach Study for the Prediction and Detection of Infectious Disease Outbreak,inement of high throughput techniques. The emergence of this distinct method of thinking has ushered in a revolution in scientific communities, with genomes, proteomics, and metabolomics emerging as the primary instruments for collecting, analyzing, and applying vast amounts of data to complex biome作者: Jogging 時(shí)間: 2025-3-24 11:21
Design and Development of Interactive, Real-Time Dashboard to Understand COVID-19 Situation in Puneinformation about the COVID-19 in Pune region; the results of the same are presented in the paper. We also present the novel approach for the prediction of region-specific COVID-19 cases. We hope that our research work helps the locals to better understand the COVID-19 situation and motivate other r作者: 口訣 時(shí)間: 2025-3-24 18:36
Development of Psychiatric COVID-19 CHATBOT Using Deep Learning,connected to COrona VIrus Disease 19 (COVID-19). The chatbot also offers mental health counseling and self-assessment exams for mental illnesses, in addition to corona virus information. The novelty of the proposed work is to provide an interface to interact with the virtual avatar in a rich environ作者: 不再流行 時(shí)間: 2025-3-24 22:39
Semi-structured Patient Data in Electronic Health Record,f patient information. In order to overcome these issues, EHR should become capable of safeguarding the huge quantity of health records. The current study focuses on the ethical issues with modern technologies, security, and privacy aspects of EHR. The current study also discusses the role of semi-structured data in EHR.作者: opalescence 時(shí)間: 2025-3-25 01:13 作者: monochromatic 時(shí)間: 2025-3-25 04:31 作者: 官僚統(tǒng)治 時(shí)間: 2025-3-25 11:02 作者: GNAW 時(shí)間: 2025-3-25 14:42 作者: GREG 時(shí)間: 2025-3-25 17:46 作者: Nostalgia 時(shí)間: 2025-3-25 23:11
Personalizing the Patient Discharge Process and Follow-Up Using Machine Learning Algorithms, Assessng tree) have been tested and comparatively analyzed. The tests have been performed on a data set containing information about the hospital admissions of patients with heart failure and as evaluation metrics precision, recall, and F1 have been used.作者: 巨頭 時(shí)間: 2025-3-26 00:26
Analyzing the Impact of COVID-19 and Vaccination Using Machine Learning and ANN,the development of new ways to protect us from the disease. Also, using XGBoost, the accuracy has been improvised. Importing the matplotlib package is used to visualize the COVID-19 data. Finally, before and after the vaccine, a performance analysis was implemented.作者: WAG 時(shí)間: 2025-3-26 07:53
Book 2023ical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and g作者: BLINK 時(shí)間: 2025-3-26 08:30 作者: 明確 時(shí)間: 2025-3-26 15:55 作者: 輕浮思想 時(shí)間: 2025-3-26 17:38
David Hawkridge,John Jaworski,Harry McMahonly for patients with chronic diseases and their previous medical treatments and diagnosis if they must be treated in other institutions outside of the country of leaving or private institutions. All data for patients are stored in the institutional database as electronic health data (EHR), owned by 作者: murmur 時(shí)間: 2025-3-26 21:34
David Hawkridge,John Jaworski,Harry McMahonnt improvements in the dependability of healthcare practices are achievable. Nevertheless, unless privacy facets of relevant sensitive data are addressed, there are notable concerns regarding data-driven healthcare policies and applications. In general, technical and engineering facets of such inter作者: Obscure 時(shí)間: 2025-3-27 04:28 作者: 別名 時(shí)間: 2025-3-27 07:50 作者: 大方不好 時(shí)間: 2025-3-27 11:01
Computers in Third-World Schoolsrresponding to conventional standards, the new biosensor technology scenario has the potential to transmit bedside diagnostics. In the area of infectious diseases, its significance is particularly important. The presence of .histidine rich protein-II (PFHRP-II) protein in blood stage parasites is de作者: 無情 時(shí)間: 2025-3-27 15:54 作者: beta-cells 時(shí)間: 2025-3-27 17:50
https://doi.org/10.1007/978-1-349-20793-0owledge for analyzing desired properties. In past few years rapid increasing for data-driven methods for modeling has led to significant advances in the computational biology research field. Dynamics simulation generated a large number of data for different dynamical properties. Extracting knowledge作者: 用不完 時(shí)間: 2025-3-28 00:07 作者: 法律的瑕疵 時(shí)間: 2025-3-28 03:45 作者: 懶惰人民 時(shí)間: 2025-3-28 06:59 作者: 障礙 時(shí)間: 2025-3-28 13:06
David Hawkridge,John Jaworski,Harry McMahonicies and guidelines can be designed accordingly. In this study, we define an improved mathematical model to evaluate the severity of any pandemic like COVID-19 given the average recovery time. Progressive mortality and progressive recovery rates are defined by considering the median of the number o作者: 不透明 時(shí)間: 2025-3-28 18:39
David Hawkridge,John Jaworski,Harry McMahonand healthcare service providers. The number of healthcare organizations that have adopted EHR is pretty low due to the privacy and security concern of patient information. In order to overcome these issues, EHR should become capable of safeguarding the huge quantity of health records. The current s作者: ROOF 時(shí)間: 2025-3-28 20:20 作者: lipids 時(shí)間: 2025-3-29 01:31 作者: transdermal 時(shí)間: 2025-3-29 04:03 作者: progestogen 時(shí)間: 2025-3-29 10:40
https://doi.org/10.1007/978-981-19-5184-8Data-driven Healthcare; Medical Imaging; Internet of Medical Things; Predictive Model; Machine Learning; 作者: 杠桿支點(diǎn) 時(shí)間: 2025-3-29 12:24
978-981-19-5186-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: miniature 時(shí)間: 2025-3-29 18:34
Personal Health Record Data-Driven Integration of Heterogeneous Data,ly for patients with chronic diseases and their previous medical treatments and diagnosis if they must be treated in other institutions outside of the country of leaving or private institutions. All data for patients are stored in the institutional database as electronic health data (EHR), owned by 作者: aspect 時(shí)間: 2025-3-29 20:21
Privacy Issues in Data-Driven Health Care,nt improvements in the dependability of healthcare practices are achievable. Nevertheless, unless privacy facets of relevant sensitive data are addressed, there are notable concerns regarding data-driven healthcare policies and applications. In general, technical and engineering facets of such inter作者: Negotiate 時(shí)間: 2025-3-30 01:49
