The use of artificial intelligence for clinical coding automation: a bibliometric analysis
In hospital settings, all information concerning the patient's diseases and medical
procedures are routinely registered in free-text format to be further abstracted and translated …
procedures are routinely registered in free-text format to be further abstracted and translated …
Semantic spaces of clinical text: leveraging distributional semantics for natural language processing of electronic health records
A Henriksson - 2013 - diva-portal.org
The large amounts of clinical data generated by electronic health record systems are an
underutilized resource, which, if tapped, has enormous potential to improve health care …
underutilized resource, which, if tapped, has enormous potential to improve health care …
[HTML][HTML] Predicting length of stay and assignment of diagnosis codes during hospital inpatient episodes
Electronic health record (EHR) data is becoming ubiquitous in the healthcare domain, with
potential to provide valuable insights to clinicians and managers. Data mining …
potential to provide valuable insights to clinicians and managers. Data mining …
Predicting the encoding of secondary diagnoses. An experience based on decision trees
In order to measure the medical activity, hospitals are required to manually encode
diagnoses concerning an inpatient episode using the International Classification of Disease …
diagnoses concerning an inpatient episode using the International Classification of Disease …
Increasing secondary diagnosis encoding quality using data mining techniques
G Chahbandarian, N Bricon-Souf… - 2016 IEEE Tenth …, 2016 - ieeexplore.ieee.org
In order to measure the medical activity, hospitals are required to manually encode
information concerning an inpatient episode using International Classification of Disease …
information concerning an inpatient episode using International Classification of Disease …
[PDF][PDF] Predicting the encoding of secondary diagnoses
In order to measure the medical activity, hospitals are required to manually encode
diagnoses concerning an inpatient episode using the International Classification of Disease …
diagnoses concerning an inpatient episode using the International Classification of Disease …
[PDF][PDF] The aid of machine learning to overcome the classification of real health discharge reports written in Spanish
A Pérez, A Casillas, K Gojenola, M Oronoz… - … del lenguaje natural, 2014 - redalyc.org
Hospitals attached to the Spanish Ministry of Health are currently using the International
Classification of Diseases 9 Clinical Modification (ICD9-CM) to classify health discharge …
Classification of Diseases 9 Clinical Modification (ICD9-CM) to classify health discharge …
[HTML][HTML] Predicting the encoding of secondary diagnoses Predicting the encoding of secondary diagnoses
In order to measure the medical activity, hospitals are required to manually encode
diagnoses concerning an inpatient episode using the International Classification of Disease …
diagnoses concerning an inpatient episode using the International Classification of Disease …
[PDF][PDF] Impact of real data from electronic health records on the classification of diagnostic terms
A Pérez, IXA Taldea, K Gojenola, M Oronoz, A Casillas - ixa.ehu.eus
Abstract This work tackles Electronic Health Record (EHR) classification according to their
Diagnostic Terms (DTs) following the standard International Classification of Diseases …
Diagnostic Terms (DTs) following the standard International Classification of Diseases …
The aid of machine learning to overcome the classification of real health discharge reports written in Spanish
A Pérez Ramírez, A Casillas Rubio… - 2014 - rua.ua.es
Hospitals attached to the Spanish Ministry of Health are currently using the International
Classification of Diseases 9 Clinical Modification (ICD9-CM) to classify health discharge …
Classification of Diseases 9 Clinical Modification (ICD9-CM) to classify health discharge …