AIMC Topic: Electronic Health Records

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Identifying the presence and severity of dementia by applying interpretable machine learning techniques on structured clinical records.

BMC medical informatics and decision making Oct 17, 2022
BACKGROUND: Dementia develops as cognitive abilities deteriorate, and early detection is critical for effective preventive interventions. However, mainstream diagnostic tests and screening tools, such as CAMCOG and MMSE, often fail to detect dementia...
Dementia Neuropsychological Tests Electronic Health Records Aged Humans Machine Learning Algorithms
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DeepMPM: a mortality risk prediction model using longitudinal EHR data.

BMC bioinformatics Oct 14, 2022
BACKGROUND: Accurate precision approaches have far not been developed for modeling mortality risk in intensive care unit (ICU) patients. Conventional mortality risk prediction methods can hardly extract the information in longitudinal electronic medi...
Databases, Factual Electronic Health Records Humans Machine Learning ROC Curve
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Pivotal challenges in artificial intelligence and machine learning applications for neonatal care.

Seminars in fetal & neonatal medicine Oct 13, 2022
Clinical decision support systems (CDSS) that are developed based on artificial intelligence and machine learning (AI/ML) approaches carry transformative potentials in improving the way neonatal care is practiced. From the use of the data available f...
Decision Support Systems, Clinical Electronic Health Records Infant, Newborn Machine Learning Prospective Studies Humans Artificial Intelligence
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Developing EMR-based algorithms to Identify hospital adverse events for health system performance evaluation and improvement: Study protocol.

PloS one Oct 5, 2022
BACKGROUND: Measurement of care quality and safety mainly relies on abstracted administrative data. However, it is well studied that administrative data-based adverse event (AE) detection methods are suboptimal due to lack of clinical information. El...
Systematic Reviews as Topic Humans Alberta Hospitals Algorithms Natural Language Processing Electronic Health Records
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De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models.

Journal of biomedical informatics Oct 3, 2022
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value to medical researchers. However, this information is mixed with Personally Identifiable Information (PII) that presents risks to patient and clinician ...
Humans Electronic Health Records Australia Natural Language Processing Hospitals Patient Discharge Deep Learning
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Comparison of Natural Language Processing of Clinical Notes With a Validated Risk-Stratification Tool to Predict Severe Maternal Morbidity.

JAMA network open Oct 3, 2022
IMPORTANCE: Risk-stratification tools are routinely used in obstetrics to assist care teams in assessing and communicating risk associated with delivery. Electronic health record data and machine learning methods may offer a novel opportunity to impr...
Electronic Health Records Pregnancy Cohort Studies Female Natural Language Processing Adult Machine Learning Retrospective Studies Humans
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Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study.

BMC bioinformatics Sep 30, 2022
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have resulted in significant enthusiasm for their promise in healthcare. Despite this, prospective randomized controlled trials and successful clinical implementation remain limited. ...
Machine Learning Prospective Studies Electronic Health Records Neoplasms Humans Artificial Intelligence Randomized Controlled Trials as Topic
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Comparing two machine learning approaches in predicting lupus hospitalization using longitudinal data.

Scientific reports Sep 30, 2022
Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease characterized by flares ranging from mild to life-threatening. Severe flares and complications can require hospitalizations, which account for most of the direct costs of SLE ca...
Machine Learning Electronic Health Records Algorithms Hospitalization Lupus Erythematosus, Systemic Humans
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Aesthetic and Implication Analysis of the Traditional Poetic Environment Based on Natural Language Emotion Analysis.

Journal of environmental and public health Sep 28, 2022
The uniqueness of aesthetic implication in Zhou Dynasty poetics lies in that it is the basic forming stage of the concept of formal beauty of the whole Chinese nation, and the aesthetic implication of the Zhou Dynasty poetics art has fundamental sign...
Esthetics Neural Networks, Computer Emotions Electronic Health Records Natural Language Processing
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Validation and Improvement of a Convolutional Neural Network to Predict the Involved Pathology in a Head and Neck Surgery Cohort.

International journal of environmental research and public health Sep 26, 2022
The selection of patients for the constitution of a cohort is a major issue for clinical research (prospective studies and retrospective studies in real life). Our objective was to validate in real life conditions the use of a Deep Learning process b...
Electronic Health Records Prospective Studies Cohort Studies Humans Retrospective Studies Neural Networks, Computer
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