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標(biāo)題: Titlebook: Healthcare 4.0; Next Generation Proc Janya Chanchaichujit,Albert Tan,Sarayoot Eaimkhong Book 2019 The Editor(s) (if applicable) and The Aut [打印本頁(yè)]

作者: exposulate    時(shí)間: 2025-3-21 18:24
書(shū)目名稱(chēng)Healthcare 4.0影響因子(影響力)




書(shū)目名稱(chēng)Healthcare 4.0影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Healthcare 4.0網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Healthcare 4.0網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Healthcare 4.0被引頻次




書(shū)目名稱(chēng)Healthcare 4.0被引頻次學(xué)科排名




書(shū)目名稱(chēng)Healthcare 4.0年度引用




書(shū)目名稱(chēng)Healthcare 4.0年度引用學(xué)科排名




書(shū)目名稱(chēng)Healthcare 4.0讀者反饋




書(shū)目名稱(chēng)Healthcare 4.0讀者反饋學(xué)科排名





作者: recede    時(shí)間: 2025-3-21 20:22
Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot Eaimkhongd decreased the level of exhaled NO. The results concerning the oxidative stress markers are equivocal. The study confirmed that NO is involved in the regulation of AHR; the effects being mediated . iNOS and ROS activity.
作者: patella    時(shí)間: 2025-3-22 03:56

作者: 導(dǎo)師    時(shí)間: 2025-3-22 07:43
Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot Eaimkhongand protective factors for allergic disease, acting against the background of genetic susceptibility, has produced an enormous body of evidence. Prominent observations are the ‘sibling effect’ and the ‘farm effect’ which gave rise to the ‘hygiene hypothesis’ and later the ‘biodiversity hypothesis’.
作者: 燦爛    時(shí)間: 2025-3-22 12:29
future medical intervention or preventive strategies. Laboratory research, bioinformatics, climate modelling, patient treatment, intervention studies, epigenetics and multiple other disciplines are able to shed new light on this revolutionary field of healthcare.978-3-030-84050-1978-3-030-84048-8Series ISSN 0171-2004 Series E-ISSN 1865-0325
作者: 星球的光亮度    時(shí)間: 2025-3-22 16:28

作者: 諷刺    時(shí)間: 2025-3-22 18:54
ative correlation between FEV1%pred and the R5, R5-R20, and X5. COPD patients had increased R5, R5-R20, and X5. The severity of bronchial obstruction found by impulse oscillometry correlated well the spirometric assessment. IOS is a simple to perform test that may be helpful for functional examination of COPD patients.
作者: creditor    時(shí)間: 2025-3-23 00:27

作者: Meditative    時(shí)間: 2025-3-23 04:32

作者: 漫不經(jīng)心    時(shí)間: 2025-3-23 05:47
An Introduction to Healthcare 4.0,ndustry 4.0 core principles, they require proper guidelines or a framework within which to incorporate the core principles. Based on the key factors determined from our research and based on the knowledge acquired from literature reviews, a set of emerging technologies is proposed for implementation in the healthcare sector.
作者: 弄皺    時(shí)間: 2025-3-23 12:12

作者: Libido    時(shí)間: 2025-3-23 13:58

作者: 幸福愉悅感    時(shí)間: 2025-3-23 20:16
Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot Eaimkhongpig maximisation test (GPMT) [1]. However, since it is the chemical which is the driving force, it is reasonable to examine to what extent it is possible to relate chemical structure with the propensity to behave as a skin sensitizer.
作者: 失望未來(lái)    時(shí)間: 2025-3-24 00:24
Internet of Things (IoT) and Big Data Analytics in Healthcare,thcare and the challenges of and strategies for implementing big data. It aims to bridge existing knowledge in the literature and draws upon a prior big data analytics project in Singapore as a case study. The chapter concludes by highlighting lessons learnt from the use of IoT and big data analytics case studies in the healthcare delivery system.
作者: 龍卷風(fēng)    時(shí)間: 2025-3-24 05:09

作者: 討好女人    時(shí)間: 2025-3-24 08:04

作者: commensurate    時(shí)間: 2025-3-24 14:14
be complementary to spirometry, especially in patients at advanced age and with physical or mental disorders who cannot be diagnosed through spirometry. The aim of this study was to compare IOS and spirometry in the assessment of airway obstruction in COPD. The study was conducted in 112 stable COPD
作者: Ptosis    時(shí)間: 2025-3-24 18:36
Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot Eaimkhongduces large amounts of NO, is active during the inflammatory process. NO quickly reacts, producing reactive oxygen species (ROS). In this study we attempted to detect the expression of iNOS and markers of ROS in the airway hyperreactivity (AHR) condition. The study was performed in guinea pigs, divi
作者: 耕種    時(shí)間: 2025-3-24 20:01
Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot Eaimkhong concept of the hapten hypothesis derived from the classical studies by Landsteiner, it is generally accepted that small molecules require covalent binding to macro-molecular proteins to become immunogens [1], However, most small molecular compounds are chemically inert and are therefore not able to
作者: DUCE    時(shí)間: 2025-3-24 23:15

作者: geometrician    時(shí)間: 2025-3-25 03:48

作者: Afflict    時(shí)間: 2025-3-25 07:34

作者: 哎呦    時(shí)間: 2025-3-25 14:26

作者: 比目魚(yú)    時(shí)間: 2025-3-25 17:50

作者: AGGER    時(shí)間: 2025-3-25 20:58

作者: neutralize    時(shí)間: 2025-3-26 00:12

作者: Deject    時(shí)間: 2025-3-26 05:19

作者: vasospasm    時(shí)間: 2025-3-26 08:34
Blockchain Technology in Healthcare,n. Blockchain technology, in short, is a digitalized and decentralized ledger that could be made public or private depending on the user where transactional data is being recorded and unable to be tampered with in the system. Blockchain offers a robust tracking solution for healthcare patients and m
作者: 騙子    時(shí)間: 2025-3-26 14:09
Application of Artificial Intelligence in Healthcare,The complexity of the disease and problems in TB diagnosis are introduced. Following this, initiatives and opportunities for using AI in TB diagnosis in Thailand are shown as a case study. The chapter concludes by discussing the current limitations of AI improvement, alternative models and key succe
作者: 舞蹈編排    時(shí)間: 2025-3-26 19:42
Optimization, Simulation and Predictive Analytics in Healthcare, introduces optimization problems in healthcare, from strategic resources and capacity planning to operational and clinical issues such as resource scheduling and treatment planning. Case studies using operations research in healthcare in Singapore will be presented, followed by some insights into i
作者: 豐滿(mǎn)有漂亮    時(shí)間: 2025-3-26 23:01

作者: BRINK    時(shí)間: 2025-3-27 04:00
Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot EaimkhongAllergic rhinitis is a common condition with a diverse differential diagnosis and multiple therapeutic options. Optimizing treatment by verifying the diagnosis and directing therapy to the most bothersome symptoms will result in improved quality of life.
作者: 中止    時(shí)間: 2025-3-27 09:10
Innovative Health Technologies and Start-Ups Process in Healthcare Industry,This chapter discusses an innovative health technology and development process in the healthcare industry, challenges and trends in the healthcare system, and health technologies for the future. The chapter concludes by recommending methodologies for developing health technology to start-ups and entrepreneurs.
作者: 多節(jié)    時(shí)間: 2025-3-27 13:19

作者: 方便    時(shí)間: 2025-3-27 14:02
Janya Chanchaichujit,Albert Tan,Sarayoot EaimkhongProvides an overview of the Internet of Things, Big Data Analytics, Blockchain, Optimization and Predictive Analytics at work in healthcare.Outlines a strategic framework to exploit new technologies t
作者: 不可思議    時(shí)間: 2025-3-27 19:55
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作者: 前面    時(shí)間: 2025-3-27 23:48
https://doi.org/10.1007/978-981-13-8114-0Healthcare 4; 0 in Singapore; Internet of Things Application in Singapore Healthcare; Big Data Analytic
作者: 微枝末節(jié)    時(shí)間: 2025-3-28 05:48
Janya Chanchaichujit,Albert Tan,Fanwen Meng,Sarayoot Eaimkhongof the most common examples of these immunological diseases. On a daily basis, physicians obtain an allergy history before prescribing any antibiotic because of the high incidence of drug reactions in the population, illustrating one example of the importance of these disorders in clinical medicine.
作者: organic-matrix    時(shí)間: 2025-3-28 07:32
Application of Artificial Intelligence in Healthcare,The complexity of the disease and problems in TB diagnosis are introduced. Following this, initiatives and opportunities for using AI in TB diagnosis in Thailand are shown as a case study. The chapter concludes by discussing the current limitations of AI improvement, alternative models and key success factors in the implementation of AI in TB.




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