AIMC Topic: Electronic Health Records

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Validation of deep learning natural language processing algorithm for keyword extraction from pathology reports in electronic health records.

Scientific reports Nov 20, 2020
Pathology reports contain the essential data for both clinical and research purposes. However, the extraction of meaningful, qualitative data from the original document is difficult due to the narrative and complex nature of such reports. Keyword ext...
Humans Algorithms Electronic Health Records Deep Learning Natural Language Processing
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Using digital technologies in clinical trials: Current and future applications.

Contemporary clinical trials Nov 17, 2020
In 2015, we provided an overview of the use of digital technologies in clinical trials, both as a methodological tool and as a mechanism to deliver interventions. At that time, there was limited guidance and limited use of digital technologies in cli...
Electronic Health Records Smartphone Digital Technology Humans Artificial Intelligence
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Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.

Journal of evidence-based medicine Nov 13, 2020
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute respiratory distress syndrome (ARDS) or acute lung injury (ALI) is a clinical syndrome that encompasses a heterogeneous population. Management of such ...
Electronic Health Records Risk Factors Respiratory Distress Syndrome Clinical Trials as Topic Transfusion Reaction Decision Trees Surgical Procedures, Operative Humans Artificial Intelligence Machine Learning
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Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records.

International journal of environmental research and public health Nov 10, 2020
Electronic health record (EHR) data are widely used to perform early diagnoses and create treatment plans, which are key areas of research. We aimed to increase the efficiency of iteratively applying data-intensive technology and verifying the result...
Deep Learning Big Data Humans Computer Simulation Electronic Health Records
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.

Journal of medical Internet research Nov 6, 2020
BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, ...
Humans Machine Learning Pandemics Cohort Studies Hospital Mortality ROC Curve Coronavirus Infections Risk Assessment Hospitalization Hospitals Aged Adolescent Aged, 80 and over New York City Male Young Adult Electronic Health Records Betacoronavirus Middle Aged COVID-19 Female Adult Pneumonia, Viral Prognosis SARS-CoV-2 Acute Kidney Injury
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Artificial Intelligence in the Intensive Care Unit.

Seminars in respiratory and critical care medicine Nov 5, 2020
The diffusion of electronic health records collecting large amount of clinical, monitoring, and laboratory data produced by intensive care units (ICUs) is the natural terrain for the application of artificial intelligence (AI). AI has a broad definit...
Humans Artificial Intelligence Sepsis Machine Learning Intensive Care Units Electronic Health Records
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TAPER: Time-Aware Patient EHR Representation.

IEEE journal of biomedical and health informatics Nov 4, 2020
Effective representation learning of electronic health records is a challenging task and is becoming more important as the availability of such data is becoming pervasive. The data contained in these records are irregular and contain multiple modalit...
Humans Machine Learning Electronic Health Records Natural Language Processing
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Predicting preventable hospital readmissions with causal machine learning.

Health services research Oct 30, 2020
OBJECTIVE: To assess both the feasibility and potential impact of predicting preventable hospital readmissions using causal machine learning applied to data from the implementation of a readmissions prevention intervention (the Transitions Program).
Diagnostic Techniques and Procedures Aged Continuity of Patient Care Male Electronic Health Records Sex Factors Humans Health Status Risk Assessment Middle Aged Female Patient Readmission Age Factors Machine Learning Risk Factors Severity of Illness Index Health Services Research Retrospective Studies
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Combining structured and unstructured data for predictive models: a deep learning approach.

BMC medical informatics and decision making Oct 29, 2020
BACKGROUND: The broad adoption of electronic health records (EHRs) provides great opportunities to conduct health care research and solve various clinical problems in medicine. With recent advances and success, methods based on machine learning and d...
Deep Learning Neural Networks, Computer Humans Machine Learning Patient Readmission Electronic Health Records
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Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing.

Journal of medical Internet research Oct 28, 2020
BACKGROUND: Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and medicine, researchers are only ...
Female SARS-CoV-2 Hospitalization Male Middle Aged Aged Adult Retrospective Studies Intensive Care Units Electronic Health Records Pandemics COVID-19 Prognosis Humans Treatment Outcome Betacoronavirus Coronavirus Infections Machine Learning Natural Language Processing Pneumonia, Viral Emergency Service, Hospital Spain
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