AI Medical Compendium Journal:
AMIA ... Annual Symposium proceedings. AMIA Symposium

Showing 121 to 130 of 377 articles

DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Burn wounds are most commonly evaluated through visual inspection to determine surgical candidacy, taking into account burn depth and individualized patient factors. This process, though cost effective, is subjective and varies by provider experience...

Hybrid Ensemble-Rule Algorithm for Improved MEDLINE® Sentence Boundary Detection.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Sentence boundary detection (SBD) is a fundamental building block in the Natural Language Processing (NLP) pipeline. Incorrect SBD may impact subsequent processing stages resulting in decreased performance. In well-behaved corpora, a few simple rules...

Characterizing Brain Signals for Epileptic Pre-ictal Signal Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Epilepsy is a kind of neurological disorder characterized by recurrent epileptic seizures. While it is crucial to characterize pre-ictal brain electrical activities, the problem to this day still remains computationally challenging. Using brain signa...

Controversial Trials First: Identifying Disagreement Between Clinical Guidelines and New Evidence.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Clinical guidelines integrate latest evidence to support clinical decision-making. As new research findings are published at an increasing rate, it would be helpful to detect when such results disagree with current guideline recommendations. In this ...

Development and Evaluation of an Automated Approach to Detect Weight Abnormalities in Pediatric Weight Charts.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Inaccurate body weight measures can cause critical safety events in clinical settings as well as hindering utilization of clinical data for retrospective research. This study focused on developing a machine learning-based automated weight abnormality...

Extraction of Active Medications and Adherence Using Natural Language Processing for Glaucoma Patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Accuracy of medication data in electronic health records (EHRs) is crucial for patient care and research, but many studies have shown that medication lists frequently contain errors. In contrast, physicians often pay more attention to the clinical no...

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Chest X-ray becomes one of the most common medical diagnoses due to its noninvasiveness. The number of chest X-ray images has skyrocketed, but reading chest X-rays still have been manually performed by radiologists, which creates huge burnouts and de...

Weak Supervision for Affordable Modeling of Electrocardiogram Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Analysing electrocardiograms (ECGs) is an inexpensive and non-invasive, yet powerful way to diagnose heart disease. ECG studies using Machine Learning to automatically detect abnormal heartbeats so far depend on large, manually annotated datasets. Wh...

Using Machine Learning to Support Transfer of Best Practices in Healthcare.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The adoption of best practices has been shown to increase performance in healthcare institutions and is consistently demanded by both patients, payers, and external overseers. Nevertheless, transferring practices between healthcare organizations is a...

Parsing Immune Correlates of Protection Against SARS-CoV-2 from Biomedical Literature.

AMIA ... Annual Symposium proceedings. AMIA Symposium
After the emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in 2019, identification of immune correlates of protection (CoPs) have become increasingly important to understand the immune response to SARS-CoV-2. The vast amount ...