AIMC Topic: Electronic Health Records

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Editorial: The second international workshop on health natural language processing (HealthNLP 2019).

BMC medical informatics and decision making Dec 5, 2019
Humans Algorithms Electronic Health Records Natural Language Processing
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Natural language processing for populating lung cancer clinical research data.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics approaches. Since manual extra...
Lung Neoplasms Narration Natural Language Processing Neoplasm Grading Research Electronic Health Records Female Data Collection Humans Artificial Intelligence
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Prediction of hospital no-show appointments through artificial intelligence algorithms.

Annals of Saudi medicine Dec 5, 2019
BACKGROUND: No-shows, a major issue for healthcare centers, can be quite costly and disruptive. Capacity is wasted and expensive resources are underutilized. Numerous studies have shown that reducing uncancelled missed appointments can have a tremend...
Appointments and Schedules Artificial Intelligence Middle Aged Sex Factors Female Algorithms Humans No-Show Patients Risk Factors Age Factors Electronic Health Records Outpatient Clinics, Hospital Aged Models, Statistical Male
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The use of natural language processing to identify vaccine-related anaphylaxis at five health care systems in the Vaccine Safety Datalink.

Pharmacoepidemiology and drug safety Dec 3, 2019
PURPOSE: The objective was to develop a natural language processing (NLP) algorithm to identify vaccine-related anaphylaxis from plain-text clinical notes, and to implement the algorithm at five health care systems in the Vaccine Safety Datalink.
Electronic Health Records Natural Language Processing Vaccines California Humans Delivery of Health Care Databases, Factual Anaphylaxis
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Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study.

BMJ open Dec 2, 2019
INTRODUCTION: About 42 million surgeries are performed annually in the USA. While the postoperative mortality is less than 2%, 12% of all patients in the high-risk surgery group account for 80% of postoperative deaths. New onset of haemodynamic insta...
Postoperative Complications Hemodynamics Decision Support Systems, Clinical Research Design California Retrospective Studies Humans Intensive Care Units Machine Learning Electronic Health Records
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Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Humans Neural Networks, Computer Machine Learning Algorithms Support Vector Machine Dementia Bayes Theorem Retrospective Studies Aged Primary Health Care United Kingdom Electronic Health Records State Medicine Male Computational Biology Female Risk Assessment Logistic Models Case-Control Studies
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Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.

Epilepsia Nov 29, 2019
OBJECTIVE: Delay to resective epilepsy surgery results in avoidable disease burden and increased risk of mortality. The objective was to prospectively validate a natural language processing (NLP) application that uses provider notes to assign epileps...
Natural Language Processing Epilepsy Patient Selection Adolescent Child, Preschool Child Decision Support Systems, Clinical Male Middle Aged Female Infant Infant, Newborn Young Adult Adult Humans Machine Learning Prospective Studies Electronic Health Records
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Medical knowledge embedding based on recursive neural network for multi-disease diagnosis.

Artificial intelligence in medicine Nov 28, 2019
The representation of knowledge based on first-order logic captures the richness of natural language and supports multiple probabilistic inference models. Although symbolic representation enables quantitative reasoning with statistical probability, i...
Algorithms Humans Electronic Health Records Neural Networks, Computer Diagnosis, Computer-Assisted Machine Learning
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Making the 'invisible' visible: transforming the detection of intimate partner violence.

BMJ quality & safety Nov 20, 2019
Intimate Partner Violence Radiology Probability Risk Wounds and Injuries Prevalence Diagnosis, Computer-Assisted Adolescent Humans Artificial Intelligence Electronic Health Records Female Adult Male Middle Aged
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Identification of repurposable drugs with beneficial effects on glucose control in type 2 diabetes using machine learning.

Pharmacology research & perspectives Nov 20, 2019
Despite effective medications, rates of uncontrolled glucose levels in type 2 diabetes remain high. We aimed to test the utility of machine learning applied to big data in identifying the potential role of concomitant drugs not taken for diabetes whi...
Humans Machine Learning Electronic Health Records Male Prostatic Hyperplasia Adrenergic alpha-1 Receptor Antagonists Big Data Drug Repositioning Blood Glucose Glycated Hemoglobin Diabetes Mellitus, Type 2 Data Mining
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