標(biāo)題: Titlebook: Artificial Intelligence and Machine Learning for Healthcare; Vol. 2: Emerging Met Chee Peng Lim,Ashlesha Vaidya,Lakhmi C. Jain Book 2023 Th [打印本頁] 作者: VER 時(shí)間: 2025-3-21 16:58
書目名稱Artificial Intelligence and Machine Learning for Healthcare影響因子(影響力)
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書目名稱Artificial Intelligence and Machine Learning for Healthcare網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence and Machine Learning for Healthcare被引頻次
書目名稱Artificial Intelligence and Machine Learning for Healthcare被引頻次學(xué)科排名
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書目名稱Artificial Intelligence and Machine Learning for Healthcare讀者反饋
書目名稱Artificial Intelligence and Machine Learning for Healthcare讀者反饋學(xué)科排名
作者: Estrogen 時(shí)間: 2025-3-22 00:17 作者: 輕信 時(shí)間: 2025-3-22 04:18 作者: Ingredient 時(shí)間: 2025-3-22 07:50 作者: tooth-decay 時(shí)間: 2025-3-22 11:12 作者: monopoly 時(shí)間: 2025-3-22 14:26
https://doi.org/10.1007/3-540-28051-0re and to consequently identify its role. Based on a Systematic Literature Review (SLR), the following application areas for key determinants in healthcare have been identified: ., ., . and .. By means of structural equation modeling (SEM), the study confirmed . and . as positive and significant inf作者: antidote 時(shí)間: 2025-3-22 17:36 作者: 諂媚于人 時(shí)間: 2025-3-22 21:34
Artificial Intelligence for the Future of Medicine, in electronic medical records, pharmacological data, etc. These data have grown exponentially and efforts to improve their quality are already paying off. However, it is no longer possible for a health professional to analyze them to provide a better diagnosis or carry out preventive work on diseas作者: BATE 時(shí)間: 2025-3-23 02:52
Social Media Sentiment Analysis Related to COVID-19 Vaccinations,ataset retrieved from Kaggle, which contains COVID-19 vaccine-related Twitter data. When attempting to perform sentiment analysis, certain methodological steps need to be considered after data collection, including data pre-processing, technique selection and model construction, as well as model eva作者: clarify 時(shí)間: 2025-3-23 08:58 作者: 時(shí)間等 時(shí)間: 2025-3-23 11:15
Virtual Reality-Based Rehabilitation Gaming System,nts and empower them to administer their treatment. Recently, game-based Virtual Reality (VR) rehabilitation protocol has turned out to be a promising therapeutic alternative, amalgamating Brain-Computer Interface (BCI) with VR to activate neuro-motor functions, sustain motivation and reach rehabili作者: 狂熱語言 時(shí)間: 2025-3-23 14:55 作者: ironic 時(shí)間: 2025-3-23 21:28 作者: delegate 時(shí)間: 2025-3-24 01:00
Barriers of Artificial Intelligence in the Health Sector,n identified and examined: Disagreement in data protection, lack of compatibility with ethical aspects, quality of training data, knowledge, and trust of physicians in AI-supported systems. The next step in the research design have been expert interviews among medical staff as well as AI developers 作者: 可轉(zhuǎn)變 時(shí)間: 2025-3-24 03:29 作者: GEN 時(shí)間: 2025-3-24 06:39
1868-4394 e are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society. .978-3-031-11172-3978-3-031-11170-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 作者: liaison 時(shí)間: 2025-3-24 11:30 作者: esthetician 時(shí)間: 2025-3-24 18:30
A Survival Analysis Guide in Oncology,he best course of treatment, and even help in discovering new therapies. The aim of this chapter it to provide a guide on some survival analysis statistical methods as well as practical examples on how to apply them in oncology. We begin with some theory regarding survival analysis in general, follo作者: 極為憤怒 時(shí)間: 2025-3-24 20:20 作者: HAUNT 時(shí)間: 2025-3-25 02:48 作者: Arbitrary 時(shí)間: 2025-3-25 06:57
,A Big Data Infrastructure in Support of Healthy and Independent Living: A?Real Case Application,nable the continuous data collection from the everyday life of the elderly, which will be processed by an affordable, accountably secure, and privacy-preserving eHealth platform applying Machine Learning algorithms to deliver interventions such as personalized notifications and alerts to each patien作者: 暴露他抗議 時(shí)間: 2025-3-25 08:55
Virtual Reality-Based Rehabilitation Gaming System,. As the geriatric population progresses, the need for novel solutions to manage age-related diseases increases. To combat this, intensive rehabilitation treatment is instituted repetitively. However, the traditional rehabilitation treatment regimes, involving tedious and monotonous activity with nu作者: 減至最低 時(shí)間: 2025-3-25 12:43
The Use of Serious Games for Developing Social and Communication Skills in Children with Autism Speds, or 0.67%—which at the time was considerably higher than previous findings. In 2021, the U.S. Centers for Disease Control issued alarming new data indicating that the rate of autism among American eight-year-old children had risen again, this time to 1 in 44, or about 2.3% (American Psychiatric A作者: 使乳化 時(shí)間: 2025-3-25 19:14
,Deep Learning-based Coronary Stenosis Detection in?X-ray Angiography Images: Overview and?Future Tray coronary angiography images is challenging because of the limited availability of rich medical data. Besides, due to the high mortality rates related to stenosis, it is paramount for a robust computer-aided diagnosis system. This study presents a succinct overview of state-of-the-art stenosis det作者: 供過于求 時(shí)間: 2025-3-25 22:26 作者: 疏遠(yuǎn)天際 時(shí)間: 2025-3-26 00:30
Barriers of Artificial Intelligence in the Health Sector,h the current COVID-19 pandemic is an additional issue. All these barriers contribute to the fact that digitalization in the healthcare sector is moving forward more and more. Without the application of advanced technologies, healthcare organizations would reach their limits. In this context, the us作者: SPER 時(shí)間: 2025-3-26 08:09
Artificial Intelligence and Machine Learning for Healthcare978-3-031-11170-9Series ISSN 1868-4394 Series E-ISSN 1868-4408 作者: 松雞 時(shí)間: 2025-3-26 12:25 作者: Infect 時(shí)間: 2025-3-26 13:45
https://doi.org/10.1007/3-540-28051-0he best course of treatment, and even help in discovering new therapies. The aim of this chapter it to provide a guide on some survival analysis statistical methods as well as practical examples on how to apply them in oncology. We begin with some theory regarding survival analysis in general, follo作者: 漂亮 時(shí)間: 2025-3-26 20:37 作者: 眼界 時(shí)間: 2025-3-27 01:01 作者: 腐蝕 時(shí)間: 2025-3-27 05:11 作者: Fresco 時(shí)間: 2025-3-27 08:48
eCustomer Relationship Management,. As the geriatric population progresses, the need for novel solutions to manage age-related diseases increases. To combat this, intensive rehabilitation treatment is instituted repetitively. However, the traditional rehabilitation treatment regimes, involving tedious and monotonous activity with nu作者: compel 時(shí)間: 2025-3-27 12:17
https://doi.org/10.1007/3-540-28051-0ds, or 0.67%—which at the time was considerably higher than previous findings. In 2021, the U.S. Centers for Disease Control issued alarming new data indicating that the rate of autism among American eight-year-old children had risen again, this time to 1 in 44, or about 2.3% (American Psychiatric A作者: aerobic 時(shí)間: 2025-3-27 13:45
https://doi.org/10.1007/3-540-28051-0ay coronary angiography images is challenging because of the limited availability of rich medical data. Besides, due to the high mortality rates related to stenosis, it is paramount for a robust computer-aided diagnosis system. This study presents a succinct overview of state-of-the-art stenosis det作者: 支形吊燈 時(shí)間: 2025-3-27 21:33 作者: POLYP 時(shí)間: 2025-3-28 01:32
https://doi.org/10.1007/3-540-28051-0h the current COVID-19 pandemic is an additional issue. All these barriers contribute to the fact that digitalization in the healthcare sector is moving forward more and more. Without the application of advanced technologies, healthcare organizations would reach their limits. In this context, the us作者: 直言不諱 時(shí)間: 2025-3-28 04:42
Chee Peng Lim,Ashlesha Vaidya,Lakhmi C. JainPresents a sample of recent advances in the theory and applications of artificial intelligence paradigms.Written in a coherent and well-founded way.Case studies demonstrate the real world applications作者: xanthelasma 時(shí)間: 2025-3-28 09:12 作者: 災(zāi)禍 時(shí)間: 2025-3-28 14:00
https://doi.org/10.1007/978-3-031-11170-9Computational Intelligence; Intelligent Systems; Artificial Intelligence; Deep Learning; Intelligent Tec作者: 死貓他燒焦 時(shí)間: 2025-3-28 17:06
978-3-031-11172-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Bravura 時(shí)間: 2025-3-28 21:36 作者: 類人猿 時(shí)間: 2025-3-28 23:00
,Deep Learning-based Coronary Stenosis Detection in?X-ray Angiography Images: Overview and?Future Triding a remarkable classification accuracy boost. hallenges and future directions for stenosis detection methods are discussed as a starting point for future research to improve the stenosis detection task.作者: 寬宏大量 時(shí)間: 2025-3-29 03:50 作者: grounded 時(shí)間: 2025-3-29 09:20
1868-4394 ded way.Case studies demonstrate the real world applications.In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the g
