Data Mining; Text Mining; Health Informatics; Health Care Information Systems; Medical Terminologies; Natural Language Processing; Text Analysis; Support Vector Machine
markdownabstractThe use of electronic health records (EHRs) has grown rapidly in the last decade. Th...
In hospitals, clinical cancer staging is an important element for determining the methods for treatm...
Part 2: MAKE-TextInternational audienceThis paper presents an approach based on sequence mining for ...
Text mining is one of the technologies designed to improve the quality of clinical medicine servic...
Electronic health records (EHRs) are rich in data with the potential to leverage applications that p...
This open access book describes the results of natural language processing and machine learning meth...
This study provides an overview of work done by researchers in areas related to Semantic Text Mining...
Text is a very important type of data within the biomedical domain. For example, patient records con...
Health care and clinical practice generate large amounts of text detailing symptoms, test results, d...
In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to b...
Medical diagnosis is considered as an important yet complicated task that needs to be executed accur...
Abstract-Text mining is nothing but extracting useful information from text. The information to be e...
Contains fulltext : 236007.pdf (Publisher’s version ) (Open Access)30 juni 20219 p
In this chapter we provide a broad overview of selected knowledge management, data mining, and text ...
Clinical medical records contain a wealth of information, largely in free-text form. Means to extrac...
markdownabstractThe use of electronic health records (EHRs) has grown rapidly in the last decade. Th...
In hospitals, clinical cancer staging is an important element for determining the methods for treatm...
Part 2: MAKE-TextInternational audienceThis paper presents an approach based on sequence mining for ...
Text mining is one of the technologies designed to improve the quality of clinical medicine servic...
Electronic health records (EHRs) are rich in data with the potential to leverage applications that p...
This open access book describes the results of natural language processing and machine learning meth...
This study provides an overview of work done by researchers in areas related to Semantic Text Mining...
Text is a very important type of data within the biomedical domain. For example, patient records con...
Health care and clinical practice generate large amounts of text detailing symptoms, test results, d...
In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to b...
Medical diagnosis is considered as an important yet complicated task that needs to be executed accur...
Abstract-Text mining is nothing but extracting useful information from text. The information to be e...
Contains fulltext : 236007.pdf (Publisher’s version ) (Open Access)30 juni 20219 p
In this chapter we provide a broad overview of selected knowledge management, data mining, and text ...
Clinical medical records contain a wealth of information, largely in free-text form. Means to extrac...
markdownabstractThe use of electronic health records (EHRs) has grown rapidly in the last decade. Th...
In hospitals, clinical cancer staging is an important element for determining the methods for treatm...
Part 2: MAKE-TextInternational audienceThis paper presents an approach based on sequence mining for ...
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