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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 user experience testing in a controlled environment. Studies such as these are designed to help

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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 novel immune dominant and cryptic linked B and T cell epitopes for the development of

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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. The reality, however, is that data arrives sequentially and the trend may evolve over time.

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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 have methylation data and clinical information on 80 patients (36 controls and 44 cases) from

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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 of internal signals. Compared with experimental approaches, computational predictions provide an efficient way to infer

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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) tend to be in linkage disequilibrium with at least on marker. Statistical methods, such as

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Decoding the auxin code: uncovering new players in the auxin pathway through WGCNA analysis

Auxins are a class of phytohormones in plants which have an active role in growth and development. The Auxin hormone control pathway in maize meristem is not well studied and has significant scope for in-depth exploration. Previous studies have not shown much novel information about how Auxin is regulated. Weighted Gene co-expression analysis takes results

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RDF-Based Method to Uncover Implicit Health Communication Episodes from Unstructured Health Data

Health communication is the process that coordinates health services such as specimen transaction, oral interactions, medical records, and more. Healthcare workflows are based on communication established historically through the practice of healthcare or by the leadership in health institutions. However, during healthcare practices communication doesn’t flow according to plan; interpersonal miscommunication, technical glitches, information overload,

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Comparison of histone patterns in orthologus regions between mouse and human tissues

With the advent of next-generation sequencing technologies, a considerable effort has been put into sequencing the epigenome of different species. The efforts such as “Encode” and “Roadmap” epigenomics projects provide an opportunity to compare epigenomes across species (especially between human and mouse). This study is an effort to understand how different histone modifications vary/co-appear between

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Building an online quality improvement information exchange for home visiting programs in Missouri

Early childhood home visiting programs date back to the 1880s and deliver a vital public service of providing and connecting families with health, educational, and economic resources to support optimal development. Continuous quality improvement (CQI) consists of systematic and continuous actions that lead to measurable improvement in services for targeted groups. CQI initiatives (CQII) in

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