標(biāo)題: Titlebook: Big Data Analytics in Healthcare; Anand J. Kulkarni,Patrick Siarry,Fazle Baki Book 2020 Springer Nature Switzerland AG 2020 Big Data Analy [打印本頁] 作者: Amalgam 時間: 2025-3-21 17:18
書目名稱Big Data Analytics in Healthcare影響因子(影響力)
書目名稱Big Data Analytics in Healthcare影響因子(影響力)學(xué)科排名
書目名稱Big Data Analytics in Healthcare網(wǎng)絡(luò)公開度
書目名稱Big Data Analytics in Healthcare網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Big Data Analytics in Healthcare被引頻次
書目名稱Big Data Analytics in Healthcare被引頻次學(xué)科排名
書目名稱Big Data Analytics in Healthcare年度引用
書目名稱Big Data Analytics in Healthcare年度引用學(xué)科排名
書目名稱Big Data Analytics in Healthcare讀者反饋
書目名稱Big Data Analytics in Healthcare讀者反饋學(xué)科排名
作者: magenta 時間: 2025-3-21 20:32 作者: 推延 時間: 2025-3-22 03:55 作者: LOPE 時間: 2025-3-22 06:41 作者: Confess 時間: 2025-3-22 10:49 作者: FRET 時間: 2025-3-22 16:05
Action Principle in Electrodynamics,. This chapter is intended to introduce Big data and its related technologies and further trace the challenges. In this chapter, we discuss the applications of big data technologies in the fields of healthcare and public sector. Over the preceding few years, computing power has increased substantial作者: FECT 時間: 2025-3-22 19:20
Introduction to Advanced Nursing Practiceugh transformation so as healthcare also. New diseases, new viruses are still challenges, whereas we successfully got escapes from many. The new ways of treatments based on research, new drugs, advancements in procedures, use of micro tools etc. has changed the healthcare sector to lot. Identificati作者: Progesterone 時間: 2025-3-22 22:16 作者: 發(fā)怨言 時間: 2025-3-23 03:28 作者: 釘牢 時間: 2025-3-23 08:40 作者: BORE 時間: 2025-3-23 12:01 作者: 轉(zhuǎn)換 時間: 2025-3-23 15:12 作者: 關(guān)心 時間: 2025-3-23 18:46
https://doi.org/10.1007/978-3-030-31672-3Big Data Analytics; Big Data; Healthcare; Healthcare Data; Metaheuristics作者: 檢查 時間: 2025-3-23 23:23
978-3-030-31674-7Springer Nature Switzerland AG 2020作者: Virtues 時間: 2025-3-24 02:21
Book 2020 in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of hea作者: 血統(tǒng) 時間: 2025-3-24 09:19
https://doi.org/10.1007/978-3-319-32204-9earch project and another a private initiative (A3: Anywhere Anytime Access) in India to provide mHealth services for providing remote medical care for remote populations. Both cases are intended to improve the credibility of data collection from rural areas in developing countries.作者: NOVA 時間: 2025-3-24 13:05 作者: 過份好問 時間: 2025-3-24 16:33 作者: 走調(diào) 時間: 2025-3-24 20:39 作者: Binge-Drinking 時間: 2025-3-24 23:20
Introduction to Advanced Nursing Practiceon of diseases is more based on pathological tests than clinical practices. All these generates lot of data in healthcare sector also. So, in any sense health sector can’t do away with big data. The chapter discusses of big data, scope in healthcare, challenges of implementation, characteristics of data etc. in healthcare sector.作者: albuminuria 時間: 2025-3-25 06:11 作者: 取之不竭 時間: 2025-3-25 09:20 作者: artifice 時間: 2025-3-25 14:34 作者: heterodox 時間: 2025-3-25 15:48
Big Data in Electroencephalography Analysisoblems in the big data model. The main objective of this chapter is to mathematically model the data generated by an Electroencephalography (EEG) recording system. It is intended to explore the use of big data in managing a huge amount of data. Application of big data in epileptic EEG analysis is also explored.作者: 反感 時間: 2025-3-25 21:29
Book 2020nities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms. .作者: 新鮮 時間: 2025-3-26 01:44
Big Data Analytics and Its Benefits in Healthcareodel that is most widely used in Hadoop for processing large amount of data quickly. In this paper big data are introduced in detail. Hadoop is used to process data in big data. There are many parts of Hadoop such as Hadoop common: these are the libraries of java and other modules which are included作者: BORE 時間: 2025-3-26 05:16 作者: Left-Atrium 時間: 2025-3-26 10:45
A Review of Big Data and Its Applications in Healthcare and Public Sector briefly discuss the use of big data in healthcare and its potential use cases such as preventive healthcare planning and predictive analytics. We will also discuss the potential use of big data in public sector and its applications like urban management and inclusive decision making. We will furthe作者: 中和 時間: 2025-3-26 15:02 作者: Ebct207 時間: 2025-3-26 20:28
Big Data Analytics in Healthcare Using Spreadsheets the other at large. Systematic monitoring, processing, analysis and reporting of sensitive health data calls for a robust information technological support across its products and processes. Business analytics is an inevitable business practice in current competitive environment wherein the process作者: Emasculate 時間: 2025-3-27 00:54
2197-6503 he second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms. .978-3-030-31674-7978-3-030-31672-3Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: 使混合 時間: 2025-3-27 03:02
https://doi.org/10.1007/978-94-009-9468-3odel that is most widely used in Hadoop for processing large amount of data quickly. In this paper big data are introduced in detail. Hadoop is used to process data in big data. There are many parts of Hadoop such as Hadoop common: these are the libraries of java and other modules which are included作者: 連詞 時間: 2025-3-27 07:30 作者: Recess 時間: 2025-3-27 11:51
Action Principle in Electrodynamics, briefly discuss the use of big data in healthcare and its potential use cases such as preventive healthcare planning and predictive analytics. We will also discuss the potential use of big data in public sector and its applications like urban management and inclusive decision making. We will furthe作者: 殘酷的地方 時間: 2025-3-27 14:45
https://doi.org/10.1007/b135763ach for evaluating surgery schedules under surgery duration uncertainty. By using Monte-Carlo simulation to estimate the fitness of individuals during optimization, we attempt to find solutions that are robust against variations in surgery durations.作者: exhilaration 時間: 2025-3-27 21:05
Core Selection in the SOC Test Design-Flow the other at large. Systematic monitoring, processing, analysis and reporting of sensitive health data calls for a robust information technological support across its products and processes. Business analytics is an inevitable business practice in current competitive environment wherein the process作者: Obstacle 時間: 2025-3-28 00:39 作者: 輕快來事 時間: 2025-3-28 02:57 作者: corpuscle 時間: 2025-3-28 09:01
Big Data in Supply Chain Management and Medicinal Domainhain (SC) and Medicinal (Healthcare) industry. Under SC domain, data generation process is explained. The difference between big data and traditional analytics is clarified. Landscape of SC is described with specific case studies in central areas of application. The typical big data platforms used i作者: lactic 時間: 2025-3-28 11:59
A Review of Big Data and Its Applications in Healthcare and Public Sector. This chapter is intended to introduce Big data and its related technologies and further trace the challenges. In this chapter, we discuss the applications of big data technologies in the fields of healthcare and public sector. Over the preceding few years, computing power has increased substantial作者: 偽證 時間: 2025-3-28 15:36
Big Data in Healthcare: Technical Challenges and Opportunitiesugh transformation so as healthcare also. New diseases, new viruses are still challenges, whereas we successfully got escapes from many. The new ways of treatments based on research, new drugs, advancements in procedures, use of micro tools etc. has changed the healthcare sector to lot. Identificati作者: instill 時間: 2025-3-28 20:01 作者: jovial 時間: 2025-3-28 23:53
Hospital Surgery Scheduling Under Uncertainty Using Multiobjective Evolutionary Algorithmsdelivering surgical treatment to patients, and they must be solved with great effort and care in order to utilize scarce resources, balance conflicting interests and hedge for uncertainty. Therefore, machine learning algorithms are generally not directly applicable to surgery scheduling problems. Th作者: 半導(dǎo)體 時間: 2025-3-29 06:44
Big Data in Electroencephalography Analysiserience. These changes can be observed in different scales and dynamics of neurons. Therefore, it is very essential to analyse the neuronal behaviour in huge data sizes over different human communities. Big data analytics is emerging rapidly as a research area. It acts as a tool to accumulate, analy
