找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Biomedical Text Mining; Kalpana Raja Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Scienc

[复制链接]
楼主: 根深蒂固
发表于 2025-3-30 10:28:31 | 显示全部楼层
发表于 2025-3-30 12:43:31 | 显示全部楼层
,A Text Mining Protocol for Extracting Drug–Drug Interaction and Adverse Drug Reactions Specific to e comorbidities and polypharmacy. Databases such as PubMed contain hundreds of abstracts with DDI and ADR information. PubMed is being updated every day with thousands of abstracts. Therefore, manually retrieving the data and extracting the relevant information is tedious task. Hence, automated text
发表于 2025-3-30 19:41:46 | 显示全部楼层
Extracting Significant Comorbid Diseases from MeSH Index of PubMed,The reason for comorbid occurrence in any patient may be genetic or molecular interference from any other processes. Comorbidity and multimorbidity may be technically different, yet still are inseparable in studies. They have overlapping nature of associations and hence can be integrated for a more
发表于 2025-3-30 23:15:48 | 显示全部楼层
Integration of Transcriptomics Data and Metabolomic Data Using Biomedical Literature Mining and Pats and determines the associated biomedical entities using biomedical literature mining. Tremendous data available in the biomedical literature helps in addressing complex biomedical problems. Advancements in genomics and transcriptomics helps in decoding the genetic information obtained from various
发表于 2025-3-31 02:23:15 | 显示全部楼层
发表于 2025-3-31 07:38:44 | 显示全部楼层
Book 2022se comorbidity, literature-based discovery, protocols to combine literature mining, machine learning for predicting biomedical discoveries, and uncovering unknown public knowledge by combining two pieces of information from different sets of PubMed articles. Additional chapters discuss the importanc
发表于 2025-3-31 11:40:16 | 显示全部楼层
发表于 2025-3-31 14:22:23 | 显示全部楼层
Landrecht und Landrechtsgesetzgebung,scale genomic studies aids in the determination of the etiology of a disease and drug targets. This chapter addresses the perspectives of transcriptomics and metabolomics in biomedical literature mining and gives an overview of state-of-the-art techniques in this field.
发表于 2025-3-31 21:32:13 | 显示全部楼层
A Hybrid Protocol for Identifying Comorbidity-Based Potential Drugs for COVID-19 Using Biomedical Ly-based disease mortality in case of COVID-19 patients with type 2 diabetes mellitus (T2D), hypertension and cardiovascular disease (CVD). In this chapter, we provide a hybrid protocol based on biomedical literature mining, network analysis of omics data, and deep learning for the identification of most potential drugs for COVID-19.
发表于 2025-3-31 22:36:45 | 显示全部楼层
Integration of Transcriptomics Data and Metabolomic Data Using Biomedical Literature Mining and Patscale genomic studies aids in the determination of the etiology of a disease and drug targets. This chapter addresses the perspectives of transcriptomics and metabolomics in biomedical literature mining and gives an overview of state-of-the-art techniques in this field.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-12 07:38
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表