• Development of a FHIR Based Application Programming Interface for Aggregate-Level Social Determinants of Health 

  Kasthurirathne, Suranga N.; Cormer, Karen F.; Devadasan, Neil; Biondich, Paul G. (AMIA Informatics summit 2019 Conference Proceedings, 2019-03-25)
• Machine Learning Approaches to Identify Nicknames from A Statewide Health Information Exchange 

  Kasthurirathne, Suranga N.; Grannis, Shaun J. (AMIA Informatics Summit 2019 Conference Proceedings, 2019-03-25)

  Patient matching is essential to minimize fragmentation of patient data. Existing patient matching efforts often do not account for nickname use. We sought to develop decision models that could identify true nicknames using ...
• Evaluating the Implementation of Deep Learning in LibreHealth Radiology on Chest X-Rays 

  Purkayastha, Saptarshi; Buddi, Surendra Babu; Yadav, Bhawana; Nuthakki, Siddhartha; Gichoya, Judy W. (Springer, 2019-04-25)

  Respiratory diseases are the dominant cause of deaths worldwide. In the US, the number of deaths due to chronic lung infections (mostly pneumonia and tuberculosis), lung cancer and chronic obstructive pulmonary disease ...
• Data Analytics and Modeling for Appointment No-show in Community Health Centers 

  Mohammadi, Iman; Wu, Huanmei; Turkcan, Ayten; Toscos, Tammy; Doebbeling, Bradley N. (SAGE, 2018)

  Objectives: Using predictive modeling techniques, we developed and compared appointment no-show prediction models to better understand appointment adherence in underserved populations. Methods and Materials: We collected ...
• Categorization-based stranger avoidance does not explain the uncanny valley effect 

  MacDorman, Karl F.; Chattopadhyay, Debaleena (Elsevier, 2017-04)

  The uncanny valley hypothesis predicts that an entity appearing almost human risks eliciting cold, eerie feelings in viewers. Categorization-based stranger avoidance theory identifies the cause of this feeling as categorizing ...
• Measuring the Uncanny Valley Effect 

  Ho, Chin-Chang; MacDorman, Karl F. (Springer, 2017-01)

  Using a hypothetical graph, Masahiro Mori proposed in 1970 the relation between the human likeness of robots and other anthropomorphic characters and an observer’s affective or emotional appraisal of them. The relation is ...
• A mass graph-based approach for the identification of modified proteoforms using top-down tandem mass spectra 

  Kou, Qiang; Wu, Si; Tolić, Nikola; Paša-Tolić, Ljiljana; Liu, Yunlong; Liu, Xiaowen (Oxford, 2017-05-01)

  Motivation: Although proteomics has rapidly developed in the past decade, researchers are still in the early stage of exploring the world of complex proteoforms, which are protein products with various primary structure ...
• Digital Cohorts Within the Social Mediome: An Approach to Circumvent Conventional Research Challenges? 

  Kulanthaivel, Anand; Fogel, Rachel; Jones, Josette; Lammert, Craig (Elsevier, 2017-05)
• Structure-Based Target-Specific Screening Leads to Small-Molecule CaMKII Inhibitors 

  Xu, David; Li, Liwei; Zhou, Donghui; Liu, Degang; Hudmon, Andy; Meroueh, Samy O. (Wiley, 2017-05-09)

  Target-specific scoring methods are more commonly used to identify small-molecule inhibitors among compounds docked to a target of interest. Top candidates that emerge from these methods have rarely been tested for activity ...
• A Multidimensional Data Warehouse for Community Health Centers 

  Kunjan, Kislaya; Toscos, Tammy; Turkcan, Ayten; Doebbeling, Brad N. (2015-11-05)

  Community health centers (CHCs) play a pivotal role in healthcare delivery to vulnerable populations, but have not yet benefited from a data warehouse that can support improvements in clinical and financial outcomes across ...
• Native Proteomics in Discovery Mode Using Size-Exclusion Chromatography–Capillary Zone Electrophoresis–Tandem Mass Spectrometry 

  Shen, Xiaojing; Kou, Ruiqiong; Yang, Zhichang; Chen, Daoyang; Liu, Xiaowen; Hong, Heedeok; Sun, Liangliang (ACS, 2018-09)

  Native proteomics aims to characterize complex proteomes under native conditions and ultimately produces a full picture of endogenous protein complexes in cells. It requires novel analytical platforms for high-resolution ...
• Technical infrastructure implications of the patient work framework 

  Valdez, Rupa S.; Holden, Richard J.; Novak, Laurie L.; Veinot, Tiffany C. (Oxford University Press, 2015-04)
• Improving “Desktop medicine” efficiency using Guided Inquiry Learning in an Electronic Health Records System 

  Purkayastha, Saptarshi; Naliyatthaliyazchayil, Parvati Ravindranathan Menon; Surapaneni, Asha Kiranmayee; Kowkutla, Ashwini; Maity, Pallavi (2018-07-18)

  Recent studies have shown that more than 50% of physician time is spent on “desktop medicine” – the practice of medicine that requires the use of computers and other technology. Providers are trained in other medical ...
• Hypothesis Generation Using Network Structures on Community Health Center Cancer-Screening Performance 

  Carney, Timothy Jay; Morgan, Geoffrey P.; Jones, Josette; McDaniel, Anna M.; Weaver, Michael; Weiner, Bryan; Haggstrom, David A. (Elsevier, 2015-10)

  RESEARCH OBJECTIVES: Nationally sponsored cancer-care quality-improvement efforts have been deployed in community health centers to increase breast, cervical, and colorectal cancer-screening rates among vulnerable ...
• What Do They Mean by "Health Informatics"? Health Informations Posts Compared to Program Standards 

  Jones, Josette F.; Zhang, Enming; Kulanthaivel, Anand; Katta, Shilpa (IOS Press, 2017)

  There is a lack of alignment between and within the competencies and skills required by health informatics (HI) related jobs and those present in academic curriculum frameworks. This study uses computational topic modeling ...
• Comparative Performance Analysis of Different Fingerprint Biometric Scanners for Patient Matching 

  Kasiiti, Noah; Wawira, Judy; Purkayastha, Saptarshi; Were, Martin C. (IOS Press, 2017)

  Unique patient identification within health services is an operational challenge in healthcare settings. Use of key identifiers, such as patient names, hospital identification numbers, national ID, and birth date are often ...
• Toward Timely Data for Cancer Research: Assessment and Reengineering of the Cancer Reporting Process 

  Jabour, Abdulrahman M; Dixon, Brian E; Jones, Josette F; Haggstrom, David A (JMIR Publications, 2018-03-01)

  Background Cancer registries systematically collect cancer-related data to support cancer surveillance activities. However, cancer data are often unavailable for months to years after diagnosis, limiting its utility. ...
• Mutational landscape of RNA-binding proteins in human cancers 

  Neelamraju, Yaseswini; Gonzalez-Perez, Abel; Bhat-Nakshatri, Poornima; Nakshatri, Harikrishna; Janga, Sarath Chandra (Taylor & Francis, 2018-01-02)

  RNA Binding Proteins (RBPs) are a class of post-transcriptional regulatory molecules which are increasingly documented to be dysfunctional in cancer genomes. However, our current understanding of these alterations is ...
• PAGER 2.0: an update to the pathway, annotated-list and gene-signature electronic repository for Human Network Biology 

  Yue, Zongliang; Zheng, Qi; Neylon, Michael T.; Yoo, Minjae; Shin, Jimin; Zhao, Zhiying; Tan, Aik Choon; Chen, Jake Y. (Oxford Academic, 2018-01-04)

  Integrative Gene-set, Network and Pathway Analysis (GNPA) is a powerful data analysis approach developed to help interpret high-throughput omics data. In PAGER 1.0, we demonstrated that researchers can gain unbiased and ...
• Macroergonomic factors in the patient work system: examining the context of patients with chronic illness 

  Holden, Richard J.; Valdez, Rupa S.; Schubert, Christiane C.; Thompson, Morgan J.; Hundt, Ann S. (Taylor & Francis, 2017-01)

  Human factors/ergonomics recognises work as embedded in and shaped by levels of social, physical and organisational context. This study investigates the contextual or macroergonomic factors present in the health-related ...

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