Lora Lingrey
A5043024581- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare and Education
- Literature Analysis and Criticism
- Privacy-Preserving Technologies in Data
- Health, Environment, Cognitive Aging
- Topic Modeling
- Emergency and Acute Care Studies
- Biomedical Text Mining and Ontologies
- Respiratory viral infections research
TriNetX (United States)
2020-2024
Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical are abundant, these largely inaccessible to outside researchers. Statistical, machine learning, causal analyses most successful with large-scale beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level from many centers.The...
A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in natural language processing (NLP). While a multitude approaches NLP exist, current algorithm development have limitations that can slow the process. These are exacerbated when task emergent, as case currently for extraction signs and symptoms COVID-19 postacute sequelae SARS-CoV-2 infection (PASC).
<sec> <title>BACKGROUND</title> A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in natural language processing (NLP). While a multitude approaches NLP exist, current algorithm development have limitations that can slow the process. These are exacerbated when task emergent, as case currently for extraction signs and symptoms COVID-19 postacute sequelae SARS-CoV-2 infection (PASC). </sec> <title>OBJECTIVE</title>...