AIMC Topic: Electronic Health Records

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A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data.

Neural networks : the official journal of the International Neural Network Society Aug 12, 2023
Accurate estimation of in-hospital mortality based on patients' physiological time series data improves the performance of the clinical decision support systems and assists hospital providers in allocating resources. In practice, the data quality iss...
Hospital Mortality Humans Neural Networks, Computer Electronic Health Records Time Factors
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Retrospective comparison of traditional and artificial intelligence-based heart failure phenotyping in a US health system to enable real-world evidence.

BMJ open Aug 9, 2023
OBJECTIVE: Quantitatively evaluate the quality of data underlying real-world evidence (RWE) in heart failure (HF).
Artificial Intelligence Retrospective Studies Humans Stroke Volume Natural Language Processing Electronic Health Records Ventricular Function, Left Heart Failure
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Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach.

Child maltreatment Aug 6, 2023
Survivors of child sex trafficking (SCST) experience high rates of adverse health outcomes. Amidst the duration of their victimization, survivors regularly seek healthcare yet fail to be identified. This study sought to utilize artificial intelligenc...
Crime Victims Human Trafficking Survivors Child Abuse, Sexual Female Male Artificial Intelligence Adolescent Humans Electronic Health Records Child
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Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure.

Scientific reports Aug 3, 2023
Machine learning (ML) has been extensively involved in assistant disease diagnosis and prediction systems to emancipate the serious dependence on medical resources and improve healthcare quality. Moreover, with the booming of pre-training language mo...
Electronic Health Records Machine Learning Semantics Algorithms
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Artificial intelligence (A.I.) in dental curricula: Ethics and responsible integration.

Journal of dental education Jul 25, 2023
The use of artificial intelligence (AI) is deeply embedded in all aspects of our daily lives, promoting efficiency and safety in routine tasks at home and work. Likewise, dentistry is rapidly exploring new uses of AI for image analysis, electronic he...
Humans Electronic Health Records Image Processing, Computer-Assisted Artificial Intelligence Clinical Decision-Making Curriculum
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Improving Diagnostics with Deep Forest Applied to Electronic Health Records.

Sensors (Basel, Switzerland) Jul 21, 2023
An electronic health record (EHR) is a vital high-dimensional part of medical concepts. Discovering implicit correlations in the information of this data set and the research and informative aspects can improve the treatment and management process. T...
Machine Learning Humans Electronic Health Records
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Patient Clustering for Vital Organ Failure Using ICD Code With Graph Attention.

IEEE transactions on bio-medical engineering Jul 18, 2023
OBJECTIVE: Heart failure, respiratory failure and kidney failure are three severe organ failures (OF) that have high mortalities and are most prevalent in intensive care units. The objective of this work is to offer insights into OF clustering from t...
Cluster Analysis International Classification of Diseases Electronic Health Records Humans Neural Networks, Computer Intensive Care Units
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RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records.

BMC medical informatics and decision making Jul 18, 2023
BACKGROUND: The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline characterized by abnormal ovarian reserve tests is regarded as a critical measure to prevent i...
Humans Primary Ovarian Insufficiency Artificial Intelligence Female Electronic Health Records Natural Language Processing Language
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A weakly supervised method for named entity recognition of Chinese electronic medical records.

Medical & biological engineering & computing Jul 15, 2023
The field of Chinese medical natural language processing faces a significant challenge in training accurate entity recognition models due to the limited availability of high-quality labeled data. In response, we propose a joint training model, MCBERT...
Language China Natural Language Processing Humans Electronic Health Records
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SCOPE: predicting future diagnoses in office visits using electronic health records.

Scientific reports Jul 7, 2023
We propose an interpretable and scalable model to predict likely diagnoses at an encounter based on past diagnoses and lab results. This model is intended to aid physicians in their interaction with the electronic health records (EHR). To accomplish ...
Humans Logistic Models Retrospective Studies Neural Networks, Computer Electronic Health Records Forecasting
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