[HTML][HTML] Natural language processing of clinical notes on chronic diseases: systematic review
Background: Novel approaches that complement and go beyond evidence-based medicine
are required in the domain of chronic diseases, given the growing incidence of such …
are required in the domain of chronic diseases, given the growing incidence of such …
[HTML][HTML] Clinical concept extraction: a methodology review
Background Concept extraction, a subdomain of natural language processing (NLP) with a
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
The accurate prediction of heart disease is essential to efficiently treating cardiac patients
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
before a heart attack occurs. This goal can be achieved using an optimal machine learning …
Multi-label active learning-based machine learning model for heart disease prediction
The rapid growth and adaptation of medical information to identify significant health trends
and help with timely preventive care have been recent hallmarks of the modern healthcare …
and help with timely preventive care have been recent hallmarks of the modern healthcare …
Big data analytics for preventive medicine
Medical data is one of the most rewarding and yet most complicated data to analyze. How
can healthcare providers use modern data analytics tools and technologies to analyze and …
can healthcare providers use modern data analytics tools and technologies to analyze and …
An intelligent heart disease prediction system based on swarm-artificial neural network
The accurate prediction of cardiovascular disease is an essential and challenging task to
treat a patient efficiently before occurring a heart attack. In recent times, various intelligent …
treat a patient efficiently before occurring a heart attack. In recent times, various intelligent …
[HTML][HTML] Capturing the patient's perspective: a review of advances in natural language processing of health-related text
G Gonzalez-Hernandez, A Sarker… - Yearbook of medical …, 2017 - thieme-connect.com
Background: Natural Language Processing (NLP) methods are increasingly being utilized to
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
mine knowledge from unstructured health-related texts. Recent advances in noisy text …
[HTML][HTML] The use of machine learning for the identification of peripheral artery disease and future mortality risk
Objective A key aspect of the precision medicine effort is the development of informatics
tools that can analyze and interpret “big data” sets in an automated and adaptive fashion …
tools that can analyze and interpret “big data” sets in an automated and adaptive fashion …
ECG signal analysis using CWT, spectrogram and autoregressive technique
The cardiovascular system is a combination of the heart, blood and blood vessels.
Cardiovascular diseases (CVD) are a key factor behind casualties worldwide among both …
Cardiovascular diseases (CVD) are a key factor behind casualties worldwide among both …
Self-attention based recurrent convolutional neural network for disease prediction using healthcare data
Abstract Background and Objective: Nowadays computer-aided disease diagnosis from
medical data through deep learning methods has become a wide area of research. Existing …
medical data through deep learning methods has become a wide area of research. Existing …