A5018302881- Biomedical Text Mining and Ontologies
- Pharmacovigilance and Adverse Drug Reactions
- Computational Drug Discovery Methods
- Folklore, Mythology, and Literature Studies
- Bioinformatics and Genomic Networks
- Advanced Causal Inference Techniques
- Digital Humanities and Scholarship
- Media, Gender, and Advertising
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Imbalanced Data Classification Techniques
- Statistical Methods in Clinical Trials
- Distributed and Parallel Computing Systems
- Scientific Computing and Data Management
- Topic Modeling
- HIV, Drug Use, Sexual Risk
- Genomics and Rare Diseases
- Genetics, Bioinformatics, and Biomedical Research
- Opioid Use Disorder Treatment
- Dementia and Cognitive Impairment Research
- Omental and Epiploic Conditions
University of New Mexico
2024
University of Pittsburgh
2020-2023
University of Houston
2018
United States National Library of Medicine
2018
University of Texas Health Science Center at Dallas
2018
Carnegie Mellon University
2010
Abstract Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, methods exist construct them automatically. However, tackling biomedical problems flexibility way knowledge is modeled. Moreover, existing KG construction provide robust tooling cost...
Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, methods exist construct them automatically. However, tackling biomedical problems flexibility way knowledge is modeled. Moreover, existing KG construction provide robust tooling cost fixed or...
Accurate detection and prevalence estimation of behavioral health conditions, such as opioid use disorder (OUD), are crucial for identifying at-risk individuals, determining treatment needs, monitoring prevention intervention efforts, recruiting treatment-naive participants clinical trials. The availability extensive data, combined with advancements in machine learning (ML) frameworks, has enabled researchers to employ various ML techniques predict or identify OUD within patient data....
Background: Causal feature selection is essential for estimating effects from observational data. Identifying confounders a crucial step in this process. Traditionally, researchers employ content-matter expertise and literature review to identify confounders. Uncontrolled confounding unidentified threatens validity, conditioning on intermediate variables (mediators) weakens estimates, common (colliders) induces bias. Additionally, without special treatment, erroneous combining roles...
ABSTRACT Introduction Confounding bias threatens the reliability of observational studies and poses a significant scientific challenge. This paper introduces framework for identifying confounding factors by exploiting literature-derived computable knowledge. In previous work, we have shown that semantic constraint search over knowledge extracted from literature can be useful reducing in statistical models EHR-derived clinical data. We hypothesize adjustment sets confounders could also...
In this paper, we explore the possibility of applying high-dimensionalvector representations concept-relation-concept triplets, which have been successfullyapplied to model a small set relationship types in biomedicaldomain, task modeling folk tales. doing so, our ultimate aim is todevelop narratives through their underlying structurecan be compared. The current paper describes progress toward aim, withemphasis on addressing technical challenges involved moving from therelatively constrained...
Primary torsion of large omentum is a rare cause abdominal pain. The knowledge this disease essential for surgeons. It plays an important role in differential diagnosis acute abdomen. authors present two cases primary omental torsion. They describe the diagnostic and therapeutic process. Diagnosis difficult. Frequently, it presents with pain imitates other diseases such as appendicitis most cases. difficult to diagnose before surgical revision approached. Laboratory paraclinical examinations...
Abstract Background The 2020 Lancet Dementia Commission Report highlighted 5 modifiable midlife risk factors for dementia across multiple datasets: hearing loss, traumatic brain injury (TBI), hypertension, alcohol use, and obesity. We tested associations of these with Alzheimer’s disease (AD) 10 or more years later within clinical care data from a large health system. Method used University Pittsburgh Medical Center electronic record including diagnoses, demographics, social history,...