The COVID-19 pandemic has accelerated neurological, mental health disorders, and
neurocognitive issues. However, there is a lack of inexpensive and efficient brain evaluation …

Endometriosis is a debilitating, chronic disease that is estimated to affect 11% of
reproductive-age women. Diagnosis of endometriosis is difficult with diagnostic delays of up …

Phenotypic data comparison is essential for disease association studies, patient
stratification, and genotype–phenotype correlation analysis. To support these efforts, the …

Background: The secondary use of structured electronic medical record (sEMR) data has
become a challenge due to the diversity, sparsity, and high dimensionality of the data …

We used network analysis to identify subtypes of relapsing-remitting multiple sclerosis
subjects based on their cumulative signs and symptoms. The electronic medical records of …

When features in a high dimension dataset are organized hierarchically, there is an inherent
opportunity to reduce dimensionality. Since more specific concepts are subsumed by more …

The phenotyping of neurological patients involves the conversion of signs and symptoms
into machine readable codes selected from an appropriate ontology. The phenotyping of …

Identification of ontology concepts in clinical narrative text enables the creation of phenotype
profiles that can be associated with clinical entities, such as patients or drugs. Constructing …

Employees are the most valuable resources in any company, and their well-being directly
influences work productivity. This research investigates integrating health parameters and …

Finding similar patients is a common objective in precision medicine, facilitating treatment
outcome assessment and clinical decision support. Choosing widely-available patient …