Analysis of Influence of Additional Diagnostic Clues During Pathology Diagnosis
Traditional pathology diagnostic process routinely relies on disease-specific diagnostic clues. We propose an informatics pipeline to identify and quantify additional diagnostic clues that, in addition to traditional disease-specific clues, can improve diagnostic outcomes and decrease the chance of diagnostic pitfalls.
A Blockchain Platform for Healthcare
Although Blockchain is much more investigated within the financial sector, it is gradually edging into other industries such as healthcare. Blockchain provides a trust mechanism in a cyber-system. Various last mile issues left to be resolved for establishing an end…
White Mothers’ Willingness to Share Personal Health Data: Survey Results and Future Research Implication
The objective of this research is to understand white mothers’ willingness to share their personal health data (PHD). Studies have shown that participants are willing to share their data when there is a benefit to do so, and when their…
Characterizing Physician EMR Workflow With Clustering and Hilbert Space Filling Curve Visualizations
Understanding sequences of events is paramount to developing a picture of how clinicians interact with other clinicians, patients, and Electronic Medical Records (EMR). Common methods of assessing clinical workflow include qualitative methods such as video recording, direct observations, or directed…
Computationally-Determined FliC Linked Recognition Epitope Micelles for Burkholderia Vaccination
Human disease caused by Burkholderia spp. is a serious problem in many parts of the world including infection of immunocompromised patients and those with cystic fibrosis. Traditional antimicrobial therapy is protracted and problematic. The goal of this cooperated structural vaccinology project is to identify…
Dynamically Predict Risk of 30-day Hospital Readmission for Diabetic Patients Using a Data Stream Mining Approach
Early hospital readmissions can negatively impact patients’ quality of life and hospitals’ income. Intensive efforts have been made to develop 30-day hospital readmission risk prediction models. Most of the reported statistical and machine learning models were built with static datasets.
Informatics Approaches to Uncover the Molecular Mechanisms of Endometriosis in Clinical Patients
Endometriosis, a complex and common gynecological disorder affecting 5–10% of reproductive-age women, is characterized by the growth of endometrial tissue outside of the uterine cavity. Accumulating evidence indicates that various epigenetic aberrations are associated with endometriosis. In our study, we…
A Deep Natural Network Method for Predicting Mitochondrially Localized Proteins in Plants
Targeting and translocation of proteins to the appropriate subcellular compartments is crucial for cell organization and function. Some newly synthesized proteins are transported to mitochondria with the assistance of complex targeting sequences containing either an N-terminal pre-sequence or a multitude…
Geonmic Selection using Deep Learning method
Genomic selection is an approach to enhance the quantitative traits in plant and animal breeding program at early stage using whole genome molecular markers, especially for long life-cycle species. It’s based on the assumption that all quantitative trait loci (QTL)…