Mining of Biomedical Data: an Introduction
نویسندگان
چکیده
World Wide Web is a huge deposit of medical information that includes text, audio, video etc. As the amount of biomedical information on web is increasing very rapidly, it is difficult to acquire the right information on web. The user usually depends on the search engines for finding the correct documents from web. As the search engine returns many pages in response to the query made by users. It is not possible for the user to go through all the resultant pages; so, the ranking algorithms are used by Search Engines to rank the resultant pages according to their relevance in context of the query made. Data Mining is non-trivial extraction of implicit, previously unknown and potentially useful information from data. In This Paper, We present some techniques use to mine the biomedical information from the web documents as the volume of biomedical research publications is increasing day by day. Biomedical text mining helps to get up to date biomedical information which can be required for further research or curing any harmful disease.
منابع مشابه
Text mining for traditional Chinese medical knowledge discovery: A survey
Extracting meaningful information and knowledge from free text is the subject of considerable research interest in the machine learning and data mining fields. Text data mining (or text mining) has become one of the most active research sub-fields in data mining. Significant developments in the area of biomedical text mining during the past years have demonstrated its great promise for supporti...
متن کاملIntelligent Approaches to Mining the Primary Research Literature: Techniques, Systems, and Examples
In this chapter, we describe how creating knowledge bases from the primary biomedical literature is formally equivalent to the process of performing a literature review or a ‘research synthesis’. We describe a principled approach to partitioning the research literature according to the different types of experiments performed by researchers and how knowledge engineering approaches must be caref...
متن کاملLinking Biomedical Information through Text Mining: Session Introduction
This session is focused on text mining applications that link information from the biomedical literature to the growing array of structured resources available to researchers, such as protein databases (e.g., UniProt, PDB, PIR), model organism databases (e.g., FlyBase, MGI, SGD), ontologies (the Gene Ontology, as well as the growing number of ontologies in OBO – Open Biological Ontologies), and...
متن کاملA Review of Towered Big-Data Service Model for Biomedical Text-Mining Databases
The rapid growth of biomedical informatics has drawn increasing popularity and attention. The reason behind this are the advances in genomic, new molecular, biomedical approaches and various applications like protein identification, patient medical records, genome sequencing, medical imaging and a huge set of biomedical research data are being generated day to day. The increase of biomedical da...
متن کاملAn Optimal Model for Medicine Preparation Using Data Mining
Introduction: Lack of financial resources and liquidity are the main problems of hospitals. Pharmacies are one of the sectors that affect the turnover of hospitals and due to lack of forecast for the use and supply of medicines, at the end of the year, encounter over-inventory, large volumes of expired medicines, and sometimes shortage of medicines. Therefore, medicine prediction using availabl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2016