AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
Age-related macular degeneration (AMD) is the leading cause of vision loss. Some patients experience vision loss over a delayed timeframe, others at a rapid pace. Physicians analyze time-of-visit fundus photographs to predict patient risk of developi...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
Despite impressive success of machine learning algorithms in clinical natural language processing (cNLP), rule-based approaches still have a prominent role. In this paper, we introduce medspaCy, an extensible, open-source cNLP library based on spaCy ...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
We develop various AI models to predict hospitalization on a large (over 110k) cohort of COVID-19 positive-tested US patients, sourced from March 2020 to February 2021. Models range from Random Forest to Neural Network (NN) and Time Convolutional NN,...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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 ...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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...
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 21, 2022
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...