標(biāo)題: Titlebook: Leveraging Data Science for Global Health; Leo Anthony Celi,Maimuna S. Majumder,Melek Somai Textbook‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applic [打印本頁(yè)] 作者: Enkephalin 時(shí)間: 2025-3-21 16:10
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作者: SOW 時(shí)間: 2025-3-21 21:05
Louis Agha-Mir-Salim,Raymond Francis Sarmientoe, statistical mechanics and nonlinear dynamics, turbulent convection in stars, atmospheric turbulence in the context of numerical weather predictions, magnetohydrodynamic turbulence, turbulent combustion with application to supernova explosions, and finally the numerical treatment of the multi-scal作者: Abrade 時(shí)間: 2025-3-22 03:22 作者: Abutment 時(shí)間: 2025-3-22 08:18 作者: 制定 時(shí)間: 2025-3-22 11:29 作者: jagged 時(shí)間: 2025-3-22 14:48
Gary Lin,Michele Palopoli,Viva Dadwalamming Language. is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text. .作者: avenge 時(shí)間: 2025-3-22 18:19 作者: JAUNT 時(shí)間: 2025-3-22 21:14
amming Language. is designed to meet the needs of a professional audience composed of practitioners and researchers in science and technology. This book is also suitable for senior undergraduate and graduate-level students in computer science, as a secondary text. .作者: 到婚嫁年齡 時(shí)間: 2025-3-23 03:21 作者: Diskectomy 時(shí)間: 2025-3-23 08:13
ctions, magnetohydrodynamic turbulence, turbulent combustion with application to supernova explosions, and finally the numerical treatment of the multi-scal978-3-642-09773-7978-3-540-78961-1Series ISSN 0075-8450 Series E-ISSN 1616-6361 作者: Traumatic-Grief 時(shí)間: 2025-3-23 12:35 作者: 詢問(wèn) 時(shí)間: 2025-3-23 15:46 作者: Rejuvenate 時(shí)間: 2025-3-23 21:42 作者: Countermand 時(shí)間: 2025-3-24 01:17
Machine Learning for Clinical Predictive Analyticsliability. In the second section, we will introduce several important concepts in machine learning in a colloquial manner, such as learning scenarios, objective/target function, error and loss function and metrics, optimization and model validation, and finally a summary of model selection methods (作者: FIG 時(shí)間: 2025-3-24 05:33
itional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient..978-3-030-47996-1978-3-030-47994-7作者: insurrection 時(shí)間: 2025-3-24 07:38 作者: Apoptosis 時(shí)間: 2025-3-24 13:59
http://image.papertrans.cn/l/image/585401.jpg作者: 案發(fā)地點(diǎn) 時(shí)間: 2025-3-24 18:37
https://doi.org/10.1007/978-3-030-47994-7Open Access; Big Data; Machine Learning; Artificial Intelligence; Health Informatics; Digital Disease Sur作者: Ceramic 時(shí)間: 2025-3-24 21:33
Machine Learning for Patient Stratification and Classification Part 1: Data Preparation and Analysisugh the basic concepts underlying machine learning and the tools needed to easily implement it using the Python programming language and Jupyter notebook documents. It is divided into three main parts: part 1—data preparation and analysis; part 2—unsupervised learning for clustering, and part 3—supervised learning for classification.作者: fertilizer 時(shí)間: 2025-3-25 02:32
Machine Learning for Patient Stratification and Classification Part 2: Unsupervised Learning with Clugh the basic concepts underlying machine learning and the tools needed to easily implement it using the Python programming language and Jupyter notebook documents. It is divided into three main parts: part 1—data preparation and analysis; part 2—unsupervised learning for clustering and part 3—supervised learning for classification.作者: 突變 時(shí)間: 2025-3-25 03:24 作者: 撤退 時(shí)間: 2025-3-25 09:03 作者: 總 時(shí)間: 2025-3-25 12:55 作者: Enteropathic 時(shí)間: 2025-3-25 17:33 作者: RLS898 時(shí)間: 2025-3-25 23:47 作者: essential-fats 時(shí)間: 2025-3-26 00:20
Developing Local Innovation Capacity to Drive Global Health Improvementsand middle-income countries (LMICs) (Syed et al. in Global Health 9:36, .). Yet there is a growing recognition that there is real potential for “bi-directional flow of knowledge, ideas, skills and innovation” (Syed et al. .). To generate sustainable impact at scale, high-income countries should furt作者: 火花 時(shí)間: 2025-3-26 08:02
Building Electronic Health Record Databases for Researchdata hoarded within hospitals worldwide. There is enormous potential in the secondary analysis of this clinical data, leveraging data already collected in everyday medical practice, we could gain insight into the clinical decision-making process and it’s impact on patient outcomes. In this chapter w作者: Optimum 時(shí)間: 2025-3-26 11:07
Funding Global Health Projectsinnovation using data science and technology. One of the major barriers to translating their ideas into practice is the lack of financial resources. Without adequate funding, many of the critical issues regarding the development, implementation, and impact of technology innovations—including whether作者: eardrum 時(shí)間: 2025-3-26 13:54 作者: 雪白 時(shí)間: 2025-3-26 18:57
Applied Statistical Learning in Pythonng. It is primarily aimed at beginners who want a gentle, succinct guide to jumpstart their journey into practical machine learning and its applications in medicine. Thus, it is by no means a comprehensive guide on machine learning or Python. Rather, my hope is to present basic concepts in a simple,作者: 脊椎動(dòng)物 時(shí)間: 2025-3-26 22:33 作者: 信徒 時(shí)間: 2025-3-27 03:21
Machine Learning for Patient Stratification and Classification Part 2: Unsupervised Learning with Clugh the basic concepts underlying machine learning and the tools needed to easily implement it using the Python programming language and Jupyter notebook documents. It is divided into three main parts: part 1—data preparation and analysis; part 2—unsupervised learning for clustering and part 3—super作者: 我沒(méi)有命令 時(shí)間: 2025-3-27 07:03 作者: Vldl379 時(shí)間: 2025-3-27 11:12 作者: 展覽 時(shí)間: 2025-3-27 17:14 作者: Solace 時(shí)間: 2025-3-27 19:59 作者: DUCE 時(shí)間: 2025-3-27 22:22
Introduction to Digital Phenotyping for Global Healthd light on—and potentially mitigate—public health concerns. .: To provide a theoretical overview of digital phenotyping (DP), as well as examples of DP in practice. .: Digital phenotyping has been successfully employed to diagnose PTSD in trauma-stricken populations and to localize the source of inf作者: Focus-Words 時(shí)間: 2025-3-28 02:29
Medical Image Recognition: An Explanation and Hands-On Example of Convolutional Networksing convolution in a neural network and present some of the common operations used in practice alongside with convolution. Then, we list some variations of the convolution layer and we set the guidelines as to when the types of CNN layer are used to manage certain tasks. In the latter section, we wi作者: larder 時(shí)間: 2025-3-28 07:14
Biomedical Signal Processing: An ECG Application ECG, clinical domain experts are able to infer the functionality of the underlying heartbeat, and diagnose irregularities. Moreover, a variety of signal processing algorithms have been developed to automatically monitor ECG recordings for patients and clinicians, both in and out of the clinical set作者: Astigmatism 時(shí)間: 2025-3-28 13:19 作者: fluoroscopy 時(shí)間: 2025-3-28 16:31
the physics and the length and time scales are vastly different in all cases, but it is also well known that in all of them, on some relevant length scales, the material flows that govern the dynamical and/or secular evolution of the systems are chaotic and often unpredictable: they are said to be 作者: Euphonious 時(shí)間: 2025-3-28 19:47
Louis Agha-Mir-Salim,Raymond Francis Sarmiento the physics and the length and time scales are vastly different in all cases, but it is also well known that in all of them, on some relevant length scales, the material flows that govern the dynamical and/or secular evolution of the systems are chaotic and often unpredictable: they are said to be 作者: Insufficient 時(shí)間: 2025-3-29 00:54
Tony Gallanis the physics and the length and time scales are vastly different in all cases, but it is also well known that in all of them, on some relevant length scales, the material flows that govern the dynamical and/or secular evolution of the systems are chaotic and often unpredictable: they are said to be 作者: Cupidity 時(shí)間: 2025-3-29 06:22
Christopher Mosesnt way.What do combustion engines, fusion reactors, weather forecast, ocean flows, our sun, and stellar explosions in outer space have in common? Of course, the physics and the length and time scales are vastly different in all cases, but it is also well known that in all of them, on some relevant l作者: Ganglion-Cyst 時(shí)間: 2025-3-29 10:02 作者: Reclaim 時(shí)間: 2025-3-29 12:43 作者: AVID 時(shí)間: 2025-3-29 16:18 作者: Bernstein-test 時(shí)間: 2025-3-29 20:23 作者: 能量守恒 時(shí)間: 2025-3-30 02:10
. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. .Interdisciplinary Computing In Java Programming Language. introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researchers, writing作者: 先鋒派 時(shí)間: 2025-3-30 06:41
Calvin J. Chiewmmon roots. Great advantages emerge if numerical methodologies break the boundaries and find their uses across disciplines. .Interdisciplinary Computing In Java Programming Language. introduces readers of different backgrounds to the beauty of the selected algorithms. Serious quantitative researcher作者: faction 時(shí)間: 2025-3-30 08:38
Textbook‘‘‘‘‘‘‘‘ 2020strophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient..作者: 極大的痛苦 時(shí)間: 2025-3-30 13:34 作者: BUST 時(shí)間: 2025-3-30 16:46
Biomedical Signal Processing: An ECG Applicationelet transform on multi-channel ECG signals from patients with arrhythmias. The information extracted is used to develop a high-performing heartbeat classifier that can distinguish between various types of regular and irregular beats.作者: BLA 時(shí)間: 2025-3-31 00:26 作者: 專橫 時(shí)間: 2025-3-31 01:13
An Introduction to Design Thinking and an Application to the Challenges of Frail, Older Adultsegies and solutions. This process generally leads to a more holistic and sustainable intervention, improving outcomes and adoption. This chapter provides a primer to design thinking, as well an introductory toolkit to begin applying the approach to your innovations.作者: Fresco 時(shí)間: 2025-3-31 08:34 作者: RUPT 時(shí)間: 2025-3-31 12:39
Applied Statistical Learning in Pythonns in medicine. Thus, it is by no means a comprehensive guide on machine learning or Python. Rather, my hope is to present basic concepts in a simple, creative way, and demonstrate how they can be applied together.作者: intellect 時(shí)間: 2025-3-31 14:42 作者: Coronary 時(shí)間: 2025-3-31 19:51
sources.Focuses on combating disease and promoting health, .This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the applicati作者: modifier 時(shí)間: 2025-3-31 21:43
Textbook‘‘‘‘‘‘‘‘ 2020rce-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healt作者: heterogeneous 時(shí)間: 2025-4-1 04:16
