標題: Titlebook: Applications of Artificial Intelligence in COVID-19; Sachi Nandan Mohanty,Shailendra K. Saxena,Jyotir M Book 2021 The Editor(s) (if applic [打印本頁] 作者: Conformist 時間: 2025-3-21 16:58
書目名稱Applications of Artificial Intelligence in COVID-19影響因子(影響力)
書目名稱Applications of Artificial Intelligence in COVID-19影響因子(影響力)學科排名
書目名稱Applications of Artificial Intelligence in COVID-19網絡公開度
書目名稱Applications of Artificial Intelligence in COVID-19網絡公開度學科排名
書目名稱Applications of Artificial Intelligence in COVID-19被引頻次
書目名稱Applications of Artificial Intelligence in COVID-19被引頻次學科排名
書目名稱Applications of Artificial Intelligence in COVID-19年度引用
書目名稱Applications of Artificial Intelligence in COVID-19年度引用學科排名
書目名稱Applications of Artificial Intelligence in COVID-19讀者反饋
書目名稱Applications of Artificial Intelligence in COVID-19讀者反饋學科排名
作者: allergy 時間: 2025-3-21 20:33 作者: 江湖郎中 時間: 2025-3-22 00:26 作者: 充滿裝飾 時間: 2025-3-22 06:46
,Kritik der evidenzbasierten P?dagogik,ke our fight against corona easier, as they can be utilized in healthcare and research effectively to generate astonishing outcomes so as to contain the pandemic. This paper shall focus on describing a few things about how technologies can help diagnose and contain COVID-19.作者: 漂亮 時間: 2025-3-22 10:05
Sind Jungen die neuen Bildungsverlierer?n addition to the interpretation of the radiological data, AI technology can also help with the optimization of data acquisition, preprocessing of initial slices, restructuring of a 3D image, and augmentation. Combining radiological information with the clinical symptoms and other vital measurements作者: synovitis 時間: 2025-3-22 13:30 作者: indecipherable 時間: 2025-3-22 20:44 作者: 橡子 時間: 2025-3-22 21:24
Sind Jungen die neuen Bildungsverlierer? made use of cloud event for putting an insight of region tracking into different color zones when patient symptom is captured through graphical user interface. Furthermore, the study has proposed a novel data driven decision level forecasting modeling approach for data integration, processing, and 作者: BULLY 時間: 2025-3-23 02:58
Christiane Gro?e,Hans-Günther Ro?baches, and best preventive strategies together to understand real impact on mass community health status. In absence of vaccine, delivery of precision, rapid, and cost effective prognosis model is the current requirement of effective control....The research data of epidemiology and clinical variations 作者: 改變 時間: 2025-3-23 05:31 作者: Kernel 時間: 2025-3-23 12:26 作者: 因無茶而冷淡 時間: 2025-3-23 17:41 作者: BUDGE 時間: 2025-3-23 20:11 作者: POLYP 時間: 2025-3-24 00:40
Comprehensive Claims of AI for Healthcare Applications-Coherence Towards COVID-19naged by text mining and Natural Language Processing. Also rapid increase of healthcare data leading in the formation of outsized data as well as automated healthcare tools are easily managed by AI-supervised Big data and IoT-based methods. We have made a systematic review of AI application for vari作者: Interstellar 時間: 2025-3-24 05:00 作者: innate 時間: 2025-3-24 09:39 作者: 膠水 時間: 2025-3-24 10:41
Artificial Intelligence (AI) Combined with Medical Imaging Enables Rapid Diagnosis for Covid-19 delay the isolation of suspected cases or there will be a chance of spreading infection to others. Artificial Intelligence (AI) has high potential to analyze huge amount of clinical data in a minimal amount of time and contributes a large impact to handle this pandemic outbreak. This technology has作者: perjury 時間: 2025-3-24 14:57
Role of Artificial Intelligence in COVID-19 Prediction Based on Statistical Methodsf India. Out of that stepwise mixed method gives good prediction for confirmed cases but GMDH-NN gives better prediction in case of death and recovered cases. As this disease is declared as an epidemic, the present study will help researchers to understand the impact of this outbreak. We have used c作者: 使成整體 時間: 2025-3-24 22:44 作者: 使人煩燥 時間: 2025-3-24 23:45
Artificial Intelligence-Enabled Prognosis Technologies for SARS-CoV-2/COVID-19es, and best preventive strategies together to understand real impact on mass community health status. In absence of vaccine, delivery of precision, rapid, and cost effective prognosis model is the current requirement of effective control....The research data of epidemiology and clinical variations 作者: Congestion 時間: 2025-3-25 04:26 作者: 并入 時間: 2025-3-25 10:56 作者: Exclaim 時間: 2025-3-25 12:58
Predictive Risk Analysis by Using Machine Learning During COVID-19is chapter, we propose a system which will collect the database available on government websites related to the statistics of COVID-19, and it will ease the traveller to make decisions for travelling. The application will show a list of places and when we click on a place, it will show different sta作者: Tonometry 時間: 2025-3-25 16:29
Analysis and Validation of Risk Prediction by Stochastic Gradient Boosting Along with Recursive Featis proposed. This work aims to predict the stage of heart disease of a patient by employing machine learning algorithms. The stochastic gradient boosting algorithm along with Recursive Feature Elimination (RFE) for selecting the best features in the data and predicting the risk level of COVID-19 has作者: flammable 時間: 2025-3-25 22:58
https://doi.org/10.1007/978-3-531-93015-2ncements in gathering, investigating and testing of ordered and shapeless healthcare data for overall health defensive and safeguarding goals with application of computing technologies. Artificial intelligence (AI) with its enabled cognitive knowledge has proved itself a powerful assisting tool with作者: Observe 時間: 2025-3-26 02:47 作者: 漸變 時間: 2025-3-26 06:26
Sind Jungen die neuen Bildungsverlierer? and countries. The diagnosis is a key part of the strategies to prevent further spread of the infection and patient treatment. The viral infection can be detected by RT-PCR or by antibody testing for specific IgM. The chest X-ray and CT scan often diagnose the COVID-19 earlier than the laboratory t作者: 神化怪物 時間: 2025-3-26 09:29
Sind Jungen die neuen Bildungsverlierer?ronavirus 2 (SARS-CoV-2). Early diagnosis is the only way to control Covid-19 during this difficult situation. There are many methodologies currently available to test and diagnose Covid-19. For the etiologic diagnosis of this viral infection, standard molecular test such as real-time reverse transc作者: modish 時間: 2025-3-26 14:50 作者: 托人看管 時間: 2025-3-26 18:12
Sind Jungen die neuen Bildungsverlierer?rld are enabling AI-oriented technologies to develop computerized models that can imitate human intelligence and better understand and analyze galactic volumes of data to identify patterns of interest and its perceptiveness. The said fields have already proven to be invaluable in predicting, classif作者: 無所不知 時間: 2025-3-26 22:37 作者: Neutral-Spine 時間: 2025-3-27 03:31
Bernhard Schmidt,Rudolf Tippeltter this disease caused by coronavirus. Here an attempt is made to intimate a healthy normal person about the dangers of infection of nCOVID-19. To accomplish the goal of intimate the danger of infection via nCOVID-19, this chapter illustarte the concept of unsupervised learning using clustering met作者: BARK 時間: 2025-3-27 06:36
Christiane Gro?e,Hans-Günther Ro?bachgies for the healthy life. This virus is highly infectious and transmits extensively through human-to-human contact. This viral diseases which become pandemic in short time period generated requirement of cost effective diagnosis, treatment and easy control methods. The objective of this review is t作者: oblique 時間: 2025-3-27 11:38 作者: 脫離 時間: 2025-3-27 16:56
https://doi.org/10.1007/978-3-662-65631-0atterns related to it. Hundreds of clinical trials are underway to generate the possible cure of the disease. Devastating and uncontrolled worldwide spread of COVID-19 triggered unprecedented global lock-downs and massive burden on healthcare systems. WHO World Health Organization has recommended im作者: KIN 時間: 2025-3-27 19:39 作者: insincerity 時間: 2025-3-28 01:12 作者: 名詞 時間: 2025-3-28 03:56 作者: BRIDE 時間: 2025-3-28 08:58
Empirische Controllingforschungtations such as cold, cough and fever, and the problem of breathing in progressively severe cases. This chapter is dedicated to the use of machine learning techniques for prediction of safe zone during COVID-19. At this point in the collective experience of coronavirus in the world, it seems clear t作者: Neolithic 時間: 2025-3-28 12:55 作者: 輕快來事 時間: 2025-3-28 16:02 作者: 一夫一妻制 時間: 2025-3-28 21:38 作者: IDEAS 時間: 2025-3-29 02:03
Applications of Artificial Intelligence in COVID-19978-981-15-7317-0Series ISSN 2662-981X Series E-ISSN 2662-9828 作者: 商品 時間: 2025-3-29 04:17
https://doi.org/10.1007/978-981-15-7317-0Artificial Intelligence; Telemedicine; Predictive Analytics; COVID 19; epidemiology作者: 嫌惡 時間: 2025-3-29 11:11 作者: 該得 時間: 2025-3-29 14:30
Comprehensive Claims of AI for Healthcare Applications-Coherence Towards COVID-19ncements in gathering, investigating and testing of ordered and shapeless healthcare data for overall health defensive and safeguarding goals with application of computing technologies. Artificial intelligence (AI) with its enabled cognitive knowledge has proved itself a powerful assisting tool with作者: Vo2-Max 時間: 2025-3-29 16:32 作者: 贊美者 時間: 2025-3-29 22:50 作者: CLEFT 時間: 2025-3-30 01:08 作者: FLAIL 時間: 2025-3-30 04:10 作者: Infant 時間: 2025-3-30 08:12
Data-Driven Symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Krld are enabling AI-oriented technologies to develop computerized models that can imitate human intelligence and better understand and analyze galactic volumes of data to identify patterns of interest and its perceptiveness. The said fields have already proven to be invaluable in predicting, classif作者: 劇本 時間: 2025-3-30 15:26
A Decision Support System Using Rule-Based Expert System for COVID-19 Prediction and Diagnosiss infection cases and nearly 7?lakhs death cases worldwide till date and the count is still increasing. Due to lock down, scarcity of medical experts and other constraints, this emerging health crisis requires a systematic and reliable Decision Support System (DSS) at the user level which will help 作者: SPECT 時間: 2025-3-30 20:19
A Predictive Mechanism to Intimate the Danger of Infection via nCOVID-19 Through Unsupervised Learniter this disease caused by coronavirus. Here an attempt is made to intimate a healthy normal person about the dangers of infection of nCOVID-19. To accomplish the goal of intimate the danger of infection via nCOVID-19, this chapter illustarte the concept of unsupervised learning using clustering met作者: chance 時間: 2025-3-30 21:06
Artificial Intelligence-Enabled Prognosis Technologies for SARS-CoV-2/COVID-19gies for the healthy life. This virus is highly infectious and transmits extensively through human-to-human contact. This viral diseases which become pandemic in short time period generated requirement of cost effective diagnosis, treatment and easy control methods. The objective of this review is t作者: spinal-stenosis 時間: 2025-3-31 04:11
Intelligent Agent Based Case Base Reasoning Systems Build Knowledge Representation in COVID-19 Analyed at the end of this study, causing the deaths of over 395,779 people, which are growing around the globe every day. This very infectious respiratory disorder is at risk for the development both of symptoms and of asymptoms, which lead to a growing number of contractions and deaths. There is theref作者: Veneer 時間: 2025-3-31 05:03 作者: 不成比例 時間: 2025-3-31 13:04
