找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Natural Language Processing in Biomedicine; A Practical Guide Hua Xu,Dina Demner Fushman Textbook 2024 The Editor(s) (if applicable) and Th

[復(fù)制鏈接]
查看: 17196|回復(fù): 51
樓主
發(fā)表于 2025-3-21 18:43:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Natural Language Processing in Biomedicine
副標(biāo)題A Practical Guide
編輯Hua Xu,Dina Demner Fushman
視頻videohttp://file.papertrans.cn/662/661849/661849.mp4
概述Uses 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
叢書(shū)名稱Cognitive Informatics in Biomedicine and Healthcare
圖書(shū)封面Titlebook: Natural Language Processing in Biomedicine; A Practical Guide Hua Xu,Dina Demner Fushman Textbook 2024 The Editor(s) (if applicable) and Th
描述This textbook covers broad topics within the application of natural language processing (NLP) in biomedicine, and provides in-depth review of the NLP solutions 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 biomedical NLP field and takes the reader through the basic aspects of NLP including different levels of linguistic information and widely used machine learning and deep learning algorithms. The book details common biomedical NLP tasks, such as named entity recognition, concept normalization, relation extraction, text classification, information retrieval, and question answering. The book illustrates the tasks with real-life use cases and introduces real-world datasets, novel machine learning and deep learning algorithms, and large language 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 te
出版日期Textbook 2024
關(guān)鍵詞natural language processing; Biomedical NLP; Biomedical text processing; Biomedical text mining; Machine
版次1
doihttps://doi.org/10.1007/978-3-031-55865-8
isbn_softcover978-3-031-55867-2
isbn_ebook978-3-031-55865-8Series ISSN 2662-7280 Series E-ISSN 2662-7299
issn_series 2662-7280
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書(shū)目名稱Natural Language Processing in Biomedicine影響因子(影響力)




書(shū)目名稱Natural Language Processing in Biomedicine影響因子(影響力)學(xué)科排名




書(shū)目名稱Natural Language Processing in Biomedicine網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Natural Language Processing in Biomedicine網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Natural Language Processing in Biomedicine被引頻次




書(shū)目名稱Natural Language Processing in Biomedicine被引頻次學(xué)科排名




書(shū)目名稱Natural Language Processing in Biomedicine年度引用




書(shū)目名稱Natural Language Processing in Biomedicine年度引用學(xué)科排名




書(shū)目名稱Natural Language Processing in Biomedicine讀者反饋




書(shū)目名稱Natural Language Processing in Biomedicine讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:16:32 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:05:47 | 只看該作者
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.
地板
發(fā)表于 2025-3-22 05:43:26 | 只看該作者
5#
發(fā)表于 2025-3-22 11:24:26 | 只看該作者
6#
發(fā)表于 2025-3-22 13:09:40 | 只看該作者
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.
7#
發(fā)表于 2025-3-22 20:54:25 | 只看該作者
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.
8#
發(fā)表于 2025-3-22 23:48:21 | 只看該作者
9#
發(fā)表于 2025-3-23 03:38:58 | 只看該作者
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
10#
發(fā)表于 2025-3-23 09:30:00 | 只看該作者
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.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-19 08:27
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
博湖县| 黔南| 桃源县| 溆浦县| 浦北县| 东山县| 哈尔滨市| 湖北省| 高淳县| 济宁市| 广宁县| 安溪县| 富川| 台江县| 龙陵县| 磐石市| 竹溪县| 吉木萨尔县| 凉城县| 德阳市| 曲周县| 剑川县| 大宁县| 德阳市| 定日县| 静乐县| 长垣县| 容城县| 连江县| 临汾市| 邢台市| 涿鹿县| 易门县| 贺兰县| 溧水县| 虹口区| 绥宁县| 宾阳县| 甘德县| 海林市| 遂平县|