AIMC Topic: International Classification of Diseases

Clear Filters Showing 51 to 60 of 139 articles

Selection of Clinical Text Features for Classifying Suicide Attempts.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being explored to better identify patients, a process called EHR ph...
International Classification of Diseases Male Prevalence Suicide, Attempted Natural Language Processing Humans Data Mining Machine Learning Algorithms Cohort Studies Phenotype ROC Curve Electronic Health Records Female
View on PubMed

Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.

Journal of clinical epidemiology Jan 22, 2021
OBJECTIVE: The objective of the study was to compare the performance of logistic regression and boosted trees for predicting patient mortality from large sets of diagnosis codes in electronic healthcare records.
Forecasting Electronic Health Records Sex Factors Colorectal Neoplasms Humans Hip Fractures Male Machine Learning International Classification of Diseases Female Mortality Middle Aged Aged Logistic Models England Aged, 80 and over Age Factors Myocardial Infarction
View on PubMed DOI

Applying Convolutional Neural Networks to Predict the ICD-9 Codes of Medical Records.

Sensors (Basel, Switzerland) Dec 11, 2020
The International Statistical Classification of Disease and Related Health Problems (ICD) is an international standard system for categorizing and reporting diseases, injuries, disorders, and health conditions. Most previously-proposed disease predic...
Electronic Health Records Humans Deep Learning Neural Networks, Computer International Classification of Diseases Algorithms
View on PubMed DOI

Identification of Patients with Nontraumatic Intracranial Hemorrhage Using Administrative Claims Data.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 15, 2020
INTRODUCTION: Nontraumatic intracranial hemorrhage (ICH) is a neurological emergency of research interest; however, unlike ischemic stroke, has not been well studied in large datasets due to the lack of an established administrative claims-based defi...
Humans Phenotype Female Reproducibility of Results Middle Aged Support Vector Machine Predictive Value of Tests Data Mining Aged Aged, 80 and over Male Administrative Claims, Healthcare Intracranial Hemorrhages International Classification of Diseases Health Services Research
View on PubMed DOI

Time Series Analysis and Forecasting with Automated Machine Learning on a National ICD-10 Database.

International journal of environmental research and public health Jul 10, 2020
The application of machine learning (ML) for use in generating insights and making predictions on new records continues to expand within the medical community. Despite this progress to date, the application of time series analysis has remained undere...
Databases, Factual International Classification of Diseases Romania Machine Learning Forecasting Humans
View on PubMed DOI

Automatic Medical Code Assignment via Deep Learning Approach for Intelligent Healthcare.

IEEE journal of biomedical and health informatics May 25, 2020
With the development of healthcare 4.0, there has been an explosion in the amount of data such as image, medical text, physiological signals, lab tests, etc. Among them, medical records provide a complete picture of the associated clinical events. Ho...
Electronic Health Records Deep Learning International Classification of Diseases Humans Artificial Intelligence Delivery of Health Care
View on PubMed DOI

Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.

Diabetes care May 15, 2020
OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of fu...
Humans Algorithms Electronic Health Records Aged, 80 and over Young Adult Female Aged Natural Language Processing Hypoglycemia Information Storage and Retrieval Clinical Decision Rules International Classification of Diseases Severity of Illness Index Community Health Planning Adult Diabetes Mellitus, Type 2 United States Male Predictive Value of Tests Middle Aged
View on PubMed DOI

A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes.

Journal of biomedical informatics Apr 13, 2020
OBJECTIVE: This study aims to develop and evaluate effective methods that can normalize diagnosis and procedure terms written by physicians to standard concepts in International Classification of Diseases(ICD) in Chinese, with the goal to facilitate ...
China Neural Networks, Computer International Classification of Diseases Support Vector Machine Clinical Coding
View on PubMed DOI

Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.

International journal of medical informatics Apr 9, 2020
UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The amount of data processed by cancer registries increases every year, making manual registration more and more tedious.
Registries Data Mining France International Classification of Diseases Incidence Adenocarcinoma Prostatic Neoplasms Humans Machine Learning Algorithms Male
View on PubMed DOI

Automated ICD coding via unsupervised knowledge integration (UNITE).

International journal of medical informatics Apr 4, 2020
OBJECTIVE: Accurate coding is critical for medical billing and electronic medical record (EMR)-based research. Recent research has been focused on developing supervised methods to automatically assign International Classification of Diseases (ICD) co...
Machine Learning Humans International Classification of Diseases Algorithms Electronic Health Records Disease Automation Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals