AIMC Topic: Electronic Health Records
Clear Filters Showing 1141 to 1150 of 2594 articles
EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.
BMC medical informatics and decision making
Nov 15, 2019
BACKGROUND: Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In current practice, this da...
Can artificial intelligence help identify elder abuse and neglect?
Journal of elder abuse & neglect
Nov 12, 2019
A health care encounter is a potentially critical opportunity to detect elder abuse and initiate intervention. Unfortunately, health care providers currently very seldom identify elder abuse. Through development of advanced data analytics techniques ...
Application of machine learning methodology to assess the performance of DIABETIMSS program for patients with type 2 diabetes in family medicine clinics in Mexico.
BMC medical informatics and decision making
Nov 12, 2019
BACKGROUND: The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient data and machine-learning-based ...
Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death.
Journal of biomedical semantics
Nov 12, 2019
BACKGROUND: Free text in electronic health records (EHR) may contain additional phenotypic information beyond structured (coded) information. For major health events - heart attack and death - there is a lack of studies evaluating the extent to which...
Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients.
Kidney international
Nov 9, 2019
Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New informatics approaches including natural language processing (NLP) can be utilized to identify symptoms from narrative clinical documentation. Here we ...
Comparison of Word Embeddings for Extraction from Medical Records.
International journal of environmental research and public health
Nov 8, 2019
This paper is an extension of the work originally presented in the 16th International Conference on Wearable, Micro and Nano Technologies for Personalized Health. Despite using electronic medical records, free narrative text is still widely used for ...
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma.
BMC medical informatics and decision making
Nov 8, 2019
BACKGROUND: Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models have achieved state-of-the-a...
Artificial Intelligence and Machine Learning in Cardiovascular Health Care.
The Annals of thoracic surgery
Nov 7, 2019
BACKGROUND: This review article provides an overview of artificial intelligence (AI) and machine learning (ML) as it relates to cardiovascular health care.
A data-driven approach to predicting diabetes and cardiovascular disease with machine learning.
BMC medical informatics and decision making
Nov 6, 2019
BACKGROUND: Diabetes and cardiovascular disease are two of the main causes of death in the United States. Identifying and predicting these diseases in patients is the first step towards stopping their progression. We evaluate the capabilities of mach...
The Clinical Pharmacogenetics Implementation Consortium: 10 Years Later.
Clinical pharmacology and therapeutics
Nov 5, 2019
In 2009, the Clinical Pharmacogenetics Implementation Consortium (CPIC, www.cpicpgx.org), a shared project between Pharmacogenomics Knowledge Base (PharmGKB, http://www.pharmgkb.org) and the National Institutes of Health (NIH), was created to provide...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32531
- Neural Networks, Computer 30499
- Algorithms 27741
- Deep Learning 27298
- Artificial Intelligence 25221
- Robotics 13430
- Image Processing, Computer-Assisted 9890
- Retrospective Studies 9535
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5746
- Tomography, X-Ray Computed 4962
- Support Vector Machine 4812
- Computational Biology 4396
- Brain 4188
- Computer Simulation 3963
Recent Journals
- Scientific reports 7012
- Sensors (Basel, Switzerland) 4794
- PloS one 4314
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1197
- Journal of chemical information and modeling 1087
- Nature communications 1071
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 879
- Bioinformatics (Oxford, England) 879
- IEEE transactions on neural networks and learning systems 859