標(biāo)題: Titlebook: Natural Language Processing in Biomedicine; A Practical Guide Hua Xu,Dina Demner Fushman Textbook 2024 The Editor(s) (if applicable) and Th [打印本頁(yè)] 作者: 喜悅 時(shí)間: 2025-3-21 18:43
書目名稱Natural Language Processing in Biomedicine影響因子(影響力)
書目名稱Natural Language Processing in Biomedicine影響因子(影響力)學(xué)科排名
書目名稱Natural Language Processing in Biomedicine網(wǎng)絡(luò)公開度
書目名稱Natural Language Processing in Biomedicine網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Natural Language Processing in Biomedicine被引頻次
書目名稱Natural Language Processing in Biomedicine被引頻次學(xué)科排名
書目名稱Natural Language Processing in Biomedicine年度引用
書目名稱Natural Language Processing in Biomedicine年度引用學(xué)科排名
書目名稱Natural Language Processing in Biomedicine讀者反饋
書目名稱Natural Language Processing in Biomedicine讀者反饋學(xué)科排名
作者: craven 時(shí)間: 2025-3-21 23:16 作者: Saline 時(shí)間: 2025-3-22 03:05
Relation ExtractionP). The emphasis here is on discussing the challenges and relevancy of the relation extraction task to biomedical text. The chapter provides references to the existing studies, approaches used, and available datasets for understanding and further developing new relation extraction systems.作者: Myosin 時(shí)間: 2025-3-22 05:43 作者: 冥界三河 時(shí)間: 2025-3-22 11:24 作者: 異端 時(shí)間: 2025-3-22 13:09
Medical Concept Normalizationtility by presenting a compendium of available resources, including shared tasks and annotated corpora specifically tailored to concept normalization, to empower and streamline the endeavors of readers engaged in this specialized field of research.作者: 商品 時(shí)間: 2025-3-22 20:54
Text Classificationons between some challenging aspects of biomedical text processing and representational choices with the capacity to address these challenges. In addition it provides some worked examples of applications of text categorization techniques to clinical problems.作者: Assemble 時(shí)間: 2025-3-22 23:48 作者: VOC 時(shí)間: 2025-3-23 03:38
Textbook 2024solutions that reveal information embedded in biomedical text. The need for biomedical NLP research and development has grown rapidly in the past two decades as an important field in cognitive informatics..?.Natural Language Processing in Biomedicine: A Practical Guide.?introduces the history of the作者: 抱怨 時(shí)間: 2025-3-23 09:30
Overview of Linguistic Informationguistic topics, and ties the well-known linguistic notions to clinical text, while emphasizing the importance of linguistic knowledge in clinical text processing. The chapter starts with the description of medical sublanguages.作者: 植物茂盛 時(shí)間: 2025-3-23 11:45
NLP Applications—Clinical Documentsresearch. Finally, we also discuss the growing importance and potential of generative Artificial Intelligence (AI), with particular emphasis on state-of-the-art large?language models like ChatGPT and GPT-4, in using clinical documents for the healthcare applications.作者: heckle 時(shí)間: 2025-3-23 16:36 作者: 沉默 時(shí)間: 2025-3-23 20:25 作者: assail 時(shí)間: 2025-3-24 01:12
Question Answeringh that can be answered by consumer-friendly sources; biologists need informative summaries of the recent publications in their areas of interest; administrators have questions about healthcare policies; quality of healthcare, and disease outbreaks. These and many other areas of question answering an作者: Circumscribe 時(shí)間: 2025-3-24 06:10
Large Language Model and Text Generationvarious types of prompts such as cloze prompts, prefix prompts, hard/discrete prompts, and soft/continuous prompts. We also introduce prompt-based learning methods using encoder-only LLMs and decoder-only LLMs. Next, we focus on the ability of generative LLMs for synthetic text generation and introd作者: 舔食 時(shí)間: 2025-3-24 06:32
NLP Applications—Biomedical Literatureding text simplification and automatic summarization targeting laypeople. Lastly, we explore the synergistic potential between literature mining and other data modalities. We conclude the chapter by highlighting some of the challenges facing literature mining.作者: 滋養(yǎng) 時(shí)間: 2025-3-24 11:26 作者: Militia 時(shí)間: 2025-3-24 17:22 作者: Melanocytes 時(shí)間: 2025-3-24 20:22 作者: Debility 時(shí)間: 2025-3-25 01:01
ten insofern eine Art ?negative Auslese“.. Das Vertrauen in die Politiker ist zumindest gering, mehr noch: Es sank in den letzten Jahren scheinbar unaufhaltsam auf immer neue Tiefstst?nde und droht bereits, das Vertrauen in die demokratischen Institutionen insgesamt zu gef?hrden.作者: Archipelago 時(shí)間: 2025-3-25 04:09 作者: CAMP 時(shí)間: 2025-3-25 11:17
Dina Demner Fushman,Carol Friedman über sieben Kinder. Sieben Kinder – geradezu mantrahaft fanden diese zwei Worte Erw?hnung, sobald die Rede auf Ursula v. d. Leyen kam. Und dazu stets – ungl?ubig staunend – die Frage, wie und ob das denn alles zu schaffen sei. Dabei war dieses Staunen keineswegs immer bewundernd. Im Gegenteil: Herb作者: 谷物 時(shí)間: 2025-3-25 12:32
Steven Bethard über sieben Kinder. Sieben Kinder – geradezu mantrahaft fanden diese zwei Worte Erw?hnung, sobald die Rede auf Ursula v. d. Leyen kam. Und dazu stets – ungl?ubig staunend – die Frage, wie und ob das denn alles zu schaffen sei. Dabei war dieses Staunen keineswegs immer bewundernd. Im Gegenteil: Herb作者: CARK 時(shí)間: 2025-3-25 16:15 作者: 花費(fèi) 時(shí)間: 2025-3-25 23:38 作者: 生氣的邊緣 時(shí)間: 2025-3-26 02:18
Dina Demner Fushmanalthough it is clear that status epilepticus increases mortality rate. Evidence supporting the use of antiepileptic drugs in patients with ICH is scarce. There is general agreement that clinical and electrographic seizures should be treated and prophylactic therapy avoided; though, there is uncertai作者: debunk 時(shí)間: 2025-3-26 04:29
Yonghui Wuerin is unclear, but these tend to have better outcomes than pure lesionectomy. Surgery is generally well tolerated. Longer duration of epilepsy is associated with worse postoperative outcomes. For those who are not surgical candidates, radiosurgery is an option. The outcomes of radiosurgical ablati作者: 睨視 時(shí)間: 2025-3-26 09:01
preventing early seizures. Phenytoin has several features that make it a best first-line agent. Anticonvulsants have not been found to reduce the incidence of developing late posttraumatic seizures, and, therefore, prolonged prophylaxis with antiepileptics is not currently supported.作者: accordance 時(shí)間: 2025-3-26 14:08 作者: 極小 時(shí)間: 2025-3-26 17:33
Rui Zhang,Andrej Kastrin,Dimitar Hristovski,Marcelo Fiszman,Halil Kilicoglu with benzodiazepines being the mainstay of treatment. Treatment of alcohol-related status epilepticus is similar to that of other causes of status epilepticus. Phenytoin is not indicated for treatment of ARS unless the patient enters status epilepticus.作者: Hormones 時(shí)間: 2025-3-26 22:58 作者: 騙子 時(shí)間: 2025-3-27 03:57 作者: BARB 時(shí)間: 2025-3-27 08:22
Yanshan Wangnow recollected his group of contributors and produced a new and up to date compendium of what one needs to know in order to work effectively in this difficult and demanding area. A welcome addition to the new 978-1-60327-532-3Series ISSN 1559-0585 Series E-ISSN 2524-4043 作者: outset 時(shí)間: 2025-3-27 11:53
2662-7280 anguage models. Relevant resources for corpora and medical terminologies are also introduced. The final chapters are devoted to discussing applications of biomedical NLP in healthcare and life sciences. This te978-3-031-55867-2978-3-031-55865-8Series ISSN 2662-7280 Series E-ISSN 2662-7299 作者: DOSE 時(shí)間: 2025-3-27 13:50 作者: Parabola 時(shí)間: 2025-3-27 21:50
978-3-031-55867-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: 蕨類 時(shí)間: 2025-3-28 00:49
Natural Language Processing in Biomedicine978-3-031-55865-8Series ISSN 2662-7280 Series E-ISSN 2662-7299 作者: indubitable 時(shí)間: 2025-3-28 02:47
Hua Xu,Dina Demner FushmanUses a coherent design of chapters covering NLP methods, systems and applications, with useful examples and cases.Contains pedagogical features such as learning objectives, glossaries, references, key作者: Adulate 時(shí)間: 2025-3-28 09:00
Cognitive Informatics in Biomedicine and Healthcarehttp://image.papertrans.cn/n/image/661849.jpg作者: Adenoma 時(shí)間: 2025-3-28 11:15
https://doi.org/10.1007/978-3-031-55865-8natural language processing; Biomedical NLP; Biomedical text processing; Biomedical text mining; Machine作者: Dendritic-Cells 時(shí)間: 2025-3-28 17:34
Introduction to Natural Language Processing of Clinical Textrance of clinical care and delivery of information to patients. Research in Clinical NLP is constantly growing. This book serves as an introduction to the areas of foundational and applied biomedical language processing, with particular focus on clinical language processing. At the time of this writ作者: Jingoism 時(shí)間: 2025-3-28 22:31
Overview of Linguistic Informationfamiliar to the readers who had to identify the words that form a unit with specific function within a hierarchical structure in the sentences and draw parse trees to describe the hierarchical syntactic structure. The chapter serves as a guide, provides references to in-depth studies of specific lin作者: 教唆 時(shí)間: 2025-3-29 01:32
Machine Learning and Deep Learning Algorithmsks. The contents of this chapter will be familiar to readers who have previously studied machine learning and deep learning methods. It discusses design of inputs and outputs for machine learning models, training algorithms including gradient descent, feature-based methods including logistic regress作者: indubitable 時(shí)間: 2025-3-29 03:48
Named Entity Recognitiontext that represents medical concepts and their class. Readers familiar with the general domain NER would observe parallels in the methodology discussed here, and the differences and challenges with the biomedical text. The chapter introduces NER using biomedical examples, and provides references to作者: Inclement 時(shí)間: 2025-3-29 11:15 作者: 牢騷 時(shí)間: 2025-3-29 12:58 作者: FILLY 時(shí)間: 2025-3-29 16:50 作者: restrain 時(shí)間: 2025-3-29 20:34
Information Retrievalfind content relevant to our needs in a nearly instantaneous manner. Quickly sifting through the haystack to find the needle matching our information needs—commonly known as search—is the task of Information Retrieval (IR). This chapter discusses the fundamentals of IR, common biomedical application作者: carotid-bruit 時(shí)間: 2025-3-30 03:04 作者: Entrancing 時(shí)間: 2025-3-30 07:51
Large Language Model and Text Generationunts of text data, often hundreds of billion or even trillions of words, and a large number of model parameters, often billions. LLMs almost unified all major clinical natural language processing (NLP) tasks and aspire to be the one and only solution in NLP. This chapter presents an introduction to 作者: Alveolar-Bone 時(shí)間: 2025-3-30 10:03
Development of Clinical NLP Systemsill commence by examining several existing clinical NLP systems and delving into their underlying architectures. Subsequently, we will provide in-depth insights into the step-by-step processes involved in developing rule-based and machine learning-based clinical NLP systems, supplementing these expl作者: Biomarker 時(shí)間: 2025-3-30 13:23
NLP Applications—Clinical Documentsg valuable insights from clinical documents. We highlight five key applications of NLP using clinical documents: enhancing patient engagement, improving clinical decision support systems, aiding in healthcare quality management, optimizing revenue cycles, and facilitating clinical and translational
