Add to ORKGIn this work, we investigate the benefits and complications of using machine learning on EHR data. We survey some recent literature and conduct experiments on real data collected from hospital EHR systems.Masteroppgave i informatikkINF399MAMN-INFMAMN-PRO
Increasing efforts in the collection, standardization, and maintenance of large scale longitudinal e...
The widespread adoption of Electronic Health Records (EHRs) means an unprecedented amount of patient...
This research lays down foundations for a stronger presence of machine learning in the emergency dep...
In this work, we investigate the benefits and complications of using machine learning on EHR data. W...
Hence, the purpose of healthcare informatics is to detect patterns in data and then learn from the p...
With the worldwide digitalisation of medical records, electronic health records (EHRs) have become a...
Machine learning (ML) and deep learning (DL) techniques have shown promising results in healthcare a...
There are various issues that emerge when managing these inconceivable amounts of information, parti...
Machine learning techniques are associated with diagnostics systems to apply methods that enable com...
Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel...
Electronic health records (EHR) contain a lot of valuable information about individual patients and ...
In the field of precision medicine, researchers adopt machine learning techniques to solve health-re...
The healthcare services in developed and developing countries are critically important. The use of m...
Deep learning recently has been showing superior performance in complex domains such as computer vis...
[Abstract] The exploitation of electronic health records (EHRs) has multiple utilities, from predict...
Increasing efforts in the collection, standardization, and maintenance of large scale longitudinal e...
The widespread adoption of Electronic Health Records (EHRs) means an unprecedented amount of patient...
This research lays down foundations for a stronger presence of machine learning in the emergency dep...
In this work, we investigate the benefits and complications of using machine learning on EHR data. W...
Hence, the purpose of healthcare informatics is to detect patterns in data and then learn from the p...
With the worldwide digitalisation of medical records, electronic health records (EHRs) have become a...
Machine learning (ML) and deep learning (DL) techniques have shown promising results in healthcare a...
There are various issues that emerge when managing these inconceivable amounts of information, parti...
Machine learning techniques are associated with diagnostics systems to apply methods that enable com...
Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel...
Electronic health records (EHR) contain a lot of valuable information about individual patients and ...
In the field of precision medicine, researchers adopt machine learning techniques to solve health-re...
The healthcare services in developed and developing countries are critically important. The use of m...
Deep learning recently has been showing superior performance in complex domains such as computer vis...
[Abstract] The exploitation of electronic health records (EHRs) has multiple utilities, from predict...
Increasing efforts in the collection, standardization, and maintenance of large scale longitudinal e...
The widespread adoption of Electronic Health Records (EHRs) means an unprecedented amount of patient...
This research lays down foundations for a stronger presence of machine learning in the emergency dep...