AIMC Topic: Electronic Health Records

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Safe medicine recommendation via star interactive enhanced-based transformer model.

Computers in biology and medicine Dec 24, 2021
With the rapid development of electronic medical records (EMRs), most existing medicine recommendation systems based on EMRs explore knowledge from the diagnosis history to help doctors prescribe medication correctly. However, due to the limitations ...
Neural Networks, Computer Electronic Health Records
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Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review.

Advances in wound care Dec 20, 2021
Accurately predicting wound healing trajectories is difficult for wound care clinicians due to the complex and dynamic processes involved in wound healing. Wound care teams capture images of wounds during clinical visits generating big datasets over...
Electronic Health Records Humans Image Processing, Computer-Assisted Artificial Intelligence Workflow
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Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.

Computational and mathematical methods in medicine Dec 20, 2021
Cardiovascular disease (CVD) is one of the most common causes of death that kills approximately 17 million people annually. The main reasons behind CVD are myocardial infarction and the failure of the heart to pump blood normally. Doctors could diagn...
Heart Disease Risk Factors Middle Aged Chi-Square Distribution Diagnosis, Computer-Assisted Databases, Factual Support Vector Machine Machine Learning Computational Biology Adult Electronic Health Records Humans Decision Trees Aged Algorithms Male Logistic Models Female Neural Networks, Computer Aged, 80 and over Heart Failure
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Leveraging medical context to recommend semantically similar terms for chart reviews.

BMC medical informatics and decision making Dec 18, 2021
BACKGROUND: Information retrieval (IR) help clinicians answer questions posed to large collections of electronic medical records (EMRs), such as how best to identify a patient's cancer stage. One of the more promising approaches to IR for EMRs is to ...
Information Storage and Retrieval Natural Language Processing Area Under Curve Machine Learning Electronic Health Records Humans
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Machine learning for classification of postoperative patient status using standardized medical data.

Computer methods and programs in biomedicine Dec 12, 2021
BACKGROUND AND OBJECTIVE: Real-world evidence is defined as clinical evidence regarding the use and potential benefits or risks of a medical product derived from real-world data analyses. Standardization and structuring of data are necessary to analy...
Hospitalization Postoperative Period Electronic Health Records Risk Factors Humans Machine Learning
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Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning.

BMC medical informatics and decision making Dec 8, 2021
BACKGROUND: Alzheimer's disease (AD) is a highly heterogeneous disease with diverse trajectories and outcomes observed in clinical populations. Understanding this heterogeneity can enable better treatment, prognosis and disease management. Studies to...
Humans Electronic Health Records Adult Male Middle Aged Female Aged Unsupervised Machine Learning Alzheimer Disease Primary Health Care Cluster Analysis
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A weakly supervised model for the automated detection of adverse events using clinical notes.

Journal of biomedical informatics Dec 3, 2021
With clinical trials unable to detect all potential adverse reactions to drugs and medical devices prior to their release into the market, accurate post-market surveillance is critical to ensure their safety and efficacy. Electronic health records (E...
Humans Machine Learning Electronic Health Records
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DI++: A deep learning system for patient condition identification in clinical notes.

Artificial intelligence in medicine Dec 2, 2021
Accurately recording a patient's medical conditions in an EHR system is the basis of effectively documenting patient health status, coding for billing, and supporting data-driven clinical decision making. However, patient conditions are often not ful...
Deep Learning Natural Language Processing Workflow Humans Electronic Health Records Clinical Decision-Making
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AI in predicting COPD in the Canadian population.

Bio Systems Dec 2, 2021
Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that produces non-reversible airflow limitations. Approximately 10% of Canadians aged 35 years or older are living with COPD. Primary care is often the first contact an indivi...
Pulmonary Disease, Chronic Obstructive Humans Artificial Intelligence Canada Datasets as Topic Algorithms Electronic Health Records
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Developing the Total Health Profile, a Generalizable Unified Set of Multimorbidity Risk Scores Derived From Machine Learning for Broad Patient Populations: Retrospective Cohort Study.

Journal of medical Internet research Nov 26, 2021
BACKGROUND: Multimorbidity clinical risk scores allow clinicians to quickly assess their patients' health for decision making, often for recommendation to care management programs. However, these scores are limited by several issues: existing multimo...
Retrospective Studies Electronic Health Records Adult Middle Aged Risk Factors Humans Machine Learning Cohort Studies Multimorbidity
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