AIMC Topic: Medical Records

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Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records.

Scientific reports Nov 12, 2022
Biomedical ontologies are widely used to harmonize heterogeneous data and integrate large volumes of clinical data from multiple sources. This study analyzed the utility of ontologies beyond their traditional roles, that is, in addressing a challengi...
Epilepsy Seizures Workflow Medical Records Humans Machine Learning Retrospective Studies
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Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association Sep 23, 2022
BACKGROUND: The Japanese Orthopaedic Association National Registry (JOANR) was recently launched in Japan and is expected to improve the quality of medical care. However, surgeons must register ten detailed features for total hip arthroplasty, which ...
Surgical Procedures, Operative Medical Records Orthopedics Algorithms Registries Japan Humans Artificial Intelligence Machine Learning
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Leveraging a Joint learning Model to Extract Mixture Symptom Mentions from Traditional Chinese Medicine Clinical Notes.

BioMed research international Mar 8, 2022
This paper addresses the mixture symptom mention problem which appears in the structuring of Traditional Chinese Medicine (TCM). We accomplished this by disassembling mixture symptom mentions with entity relation extraction. Over 2,200 clinical notes...
Humans Machine Learning Medicine, Chinese Traditional Medical Records Symptom Assessment
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Intelligent virtual case learning system based on real medical records and natural language processing.

BMC medical informatics and decision making Mar 4, 2022
BACKGROUND: Modernizing medical education by using artificial intelligence and other new technologies to improve the clinical thinking ability of medical students is an important research topic in recent years. Prominent medical universities are acti...
Students, Medical Natural Language Processing Medical Records Humans Artificial Intelligence Learning
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Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing.

Yearbook of medical informatics Sep 3, 2021
OBJECTIVES: To analyze the content of publications within the medical NLP domain in 2020.
Clinical Trials as Topic Medical Records Social Networking COVID-19 Mental Disorders Natural Language Processing Humans
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Chronic kidney disease diagnosis using decision tree algorithms.

BMC nephrology Aug 9, 2021
BACKGROUND: Chronic Kidney Disease (CKD), i.e., gradual decrease in the renal function spanning over a duration of several months to years without any major symptoms, is a life-threatening disease. It progresses in six stages according to the severit...
Severity of Illness Index Renal Insufficiency, Chronic Glomerular Filtration Rate Male Middle Aged Disease Progression Early Diagnosis Medical Records Humans Kidney Function Tests Machine Learning Decision Trees Prognosis Algorithms Patient Acuity Female Reproducibility of Results
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Improving early diagnosis of rare diseases using Natural Language Processing in unstructured medical records: an illustration from Dravet syndrome.

Orphanet journal of rare diseases Jul 13, 2021
BACKGROUND: The growing use of Electronic Health Records (EHRs) is promoting the application of data mining in health-care. A promising use of big data in this field is to develop models to support early diagnosis and to establish natural history. Dr...
Child, Preschool Natural Language Processing Early Diagnosis Epilepsies, Myoclonic Medical Records Rare Diseases Humans
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Timesias: A machine learning pipeline for predicting outcomes from time-series clinical records.

STAR protocols Jul 2, 2021
The prediction of outcomes is a critical part of the clinical surveillance for hospitalized patients. Here, we present Timesias, a machine learning pipeline which predicts outcomes from real-time sequential clinical data. The strategy implemented in ...
Humans Machine Learning Outcome Assessment, Health Care Medical Records Algorithms Prognosis Time Factors
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Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records.

JAMA network open Jul 1, 2021
IMPORTANCE: Physicians are required to work with rapidly growing amounts of medical data. Approximately 62% of time per patient is devoted to reviewing electronic health records (EHRs), with clinical data review being the most time-consuming portion.
Academic Medical Centers Information Storage and Retrieval Task Performance and Analysis Medical Records Workload Referral and Consultation User-Centered Design Middle Aged Job Satisfaction Time Factors Humans Female Adult Artificial Intelligence Male Physicians Prospective Studies
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Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.

Journal of vascular surgery Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Carotid Stenosis Comparative Effectiveness Research Medical Records Asymptomatic Diseases Computed Tomography Angiography Natural Language Processing Severity of Illness Index Data Mining Hemodynamics Humans Ultrasonography, Doppler California Predictive Value of Tests Retrospective Studies International Classification of Diseases Cross-Sectional Studies Magnetic Resonance Angiography
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