Challenges and opportunities beyond structured data in analysis of electronic health records
Electronic health records (EHR) contain a lot of valuable information about individual
patients and the whole population. Besides structured data, unstructured data in EHRs can …
patients and the whole population. Besides structured data, unstructured data in EHRs can …
The secondary use of electronic health records for data mining: Data characteristics and challenges
The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …
management of patients' health-related information. However, these records have also been …
Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
A systematic review on healthcare analytics: application and theoretical perspective of data mining
The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
[BOOK][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
[HTML][HTML] Cadec: A corpus of adverse drug event annotations
Abstract CSIRO Adverse Drug Event Corpus (C adec) is a new rich annotated corpus of
medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is …
medical forum posts on patient-reported Adverse Drug Events (ADEs). The corpus is …
A comprehensive review of computational methods for drug-drug interaction detection
The detection of drug-drug interactions (DDIs) is a crucial task for drug safety surveillance,
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …
which provides effective and safe co-prescriptions of multiple drugs. Since laboratory …
Harnessing social media for health information management
The remarkable upsurge of social media has dramatic impacts on health care research and
practice. Social media are resha** health information management in a variety of ways …
practice. Social media are resha** health information management in a variety of ways …
How can machine learning and multiscale modeling benefit ocular drug development?
The eyes possess sophisticated physiological structures, diverse disease targets, limited
drug delivery space, distinctive barriers, and complicated biomechanical processes …
drug delivery space, distinctive barriers, and complicated biomechanical processes …
A data-driven approach to improve customer churn prediction based on telecom customer segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
leading to profit loss. Thus, understanding the reasons for client churn is vital for …