• Assessment of Parkinson's Disease Progression by Feature Relevance Analysis and Regression Techniques Using Machine Learning Algorithms 

  Gullapelli, Rakesh; Jones, Josette; Lai, Patrick T. S.

  Remote patient tracking has been gaining increased attention due to its low-cost non-invasive methods. Unified Parkinson's Disease Rating Scale (UPDRS) is used often to track Parkinson's Disease (PD) symptoms which requires ...
• A Predictive Modelling Approach in the Diagnosis of Parkinson's Disease Using Cerebrospinal Fluid Biomarkers 

  Lakmala, Prathima; Jones, Josette; Lai, Patrick

  The research in Parkinson's disease {PD) using biomarkers has long been dominated by measuring dopamine metabolites or alpha-Synuclein in cerebrospinal fluid. However, these markers do not allow early detection or monitoring ...
• Transfer Center Functions: Describing Changes to Nursing Roles Through Goal-Directed Task Analysis 

  Lenox, Michelle M.; Jones, Josette

  Patient transfer centers offer a centralized point of contact for transferring a patient into or between the in-patient care settings that comprise any one particular healthcare system. There are case studies on the ...
• CGPE: A user-friendly gene and pathway explore webserver for public cancer transcriptional data 

  Liu, Jiannan; Dong, Chuanpeng; Liu, Yunlong; Wu, Huanmei

  High throughput technology has been widely used by researchers to understand diseases at the molecular level. Database and servers for downloading and analyzing these publicly data is available as well. But there is still ...
• An Expandable Drug Information Retrieval System for Oncology (EDIRS-FO) 

  Jain, Lakshika; Jones, Josette; Kulanthaivel, Anand

  Breast cancer was life threating a decade ago, however, now with the improvement in treatment the survival rate has increased considerably. Avoidable adverse effects accompany these treatments. The risk of acute and chronic ...
• U.S. Hospitals' Web-Based Patient Engagement Activities 

  Jones, Josette; Zolnoori, Maryam; Binkheder, Samar; Schilling, Katherine; Lenox, Michelle; Pondugala, Lakshmi Ravali

  The purpose of this poster is to describe how U.S. Hospitals use their websites to meet the National e-Health Collaborative (NeHC) patient engagement criteria and to explore trends, challenges, opportunities for hospitals ...
• Medicaid Data Accessibility: A State-By-State Analysis of Data Availability and Usage 

  Stichter, Alyson

  Objective: To explore state Medicaid programs to determine which states have made their Medicaid healthcare data available to the public, including any state policies prohibiting or allowing the state to share its data.
• Decision Support System for Geriatric Care 

  Pandit, Yogesh; Palakal, Mathew J.; Jones, Josette; Xia, Yuni; Pecenka, Dave; Bandos, Jean; Tinsley, Eric; Geesaman, Jerry

  Geriatrics is a branch in medicine that focuses on the healthcare of the elderly. It is a field that promotes health and aims towards preventing and treating diseases and disabilities in the older people. Geriatric ...
• Development and Evaluation of a Natural Language Conversational Bot for Identifying Appropriate Clinician Referral from Patient Narratives 

  Tummala, Sriharsha; Purkayastha, Saptarshi; Jones, Josette

  Recent years have seen a significant increase in automated conversational agent chatbots. Conversational agents like chatbots for health may provide timely and cost-effective support in clinical care. Some studies show ...
• Integrated miR-mRNA Network Underlying Hepatic Fat Accumulation in Humans 

  Srivastava, Rajneesh; Wang, Xiaoliang; Lin, Jingmei; Wei, Rongrong; Chaturvedi, Praneet; Chalasani, Naga P.; Janga, Sarath Chandra; Liu, Wanqing

  Background: An integrate miRs and mRNAs analysis in the development of Non-Alcoholic Fatty Liver Disease (NAFLD) and Non-Alcoholic Steatohepatitis (NASH) is lacking. We aimed to identify miRs as well as the miR-mRNA ...
• Analysis of Co-Indicators and Counter-Indicators Among Patients Using Coding Algorithms: Learning Phenotype study 

  Reddy, Nagarjuna; Jones, Josette; Kanakasabai, Saravanan; Klapper, Gregory

  Chronic complications associated with the diabetes are responsible for increase in mortality and morbidity rate. The main aim of the project is to analyze the co-indicators and counter-indicators among the patients by ...
• Ontological Based CDSS in the Management of Breast Cancer 

  Yekkaluri, Sruthi; Jones, Josette; Kulanthaivel, Anand

  Accurate diagnosis is a key to ensure the most appropriate treatment. The diagnosis accuracy depends on physician's knowledge on the patient case. The ontological based CDSS is based on comprehending the diagnostic process ...
• Factor Analysis of Sepsis and Other Bacterial Infections in Congestive Heart Failure Patients 

  Barma, Ramachandrarao; Jones, Josette; Klopper, Gregory

  The main objective of this study is to identify co-factors that are responsible for sepsis and other bacterial infections in congestive heart failure patients. Our second objective is to build a predictive learning model ...
• Patient-Centered Decision Support for Pediatric Asthma Screening: A Web-based Interface for Parents 

  Zolnoori, Maryam; Schilling, Katherine; Jones, Josette

  Asthma in children is a global health crisis. Differential diagnosis of asthma is a complex process. Significant disconnects exist between disease prevalence vs. diagnoses. Families ignore or misunderstand asthma signs and ...
• A Novel Approach Using Social Media to Investigate Patient-Centric Data in Autoimmune Hepatitis 

  Kulanthaivel, Anand; Lammert, Craig S.; Jones, Josette F. (2018)

  Autoimmune hepatitis (AIH) is a rare liver disease characterized by immune-mediated destruction of hepatocytes. Despite adequate treatment, most patients experience severe extrahepatic symptoms that may reduce quality of ...
• Predictive Modeling for Appointment No-show in Community Health Centers 

  Mohammadi, Iman; Turkcan, Ayten; Toscos, Tammy; Wu, Huanmei; Doebbeling, Brad N. (2016)

  Reducing no-show rates is one of the most important measures of access to care in Community Health Centers (CHCs). We used EMR and scheduling data to develop no-show prediction models to help design effective scheduling ...
• Health Care Needs of Underserved Populations in the City of Indianapolis 

  Mohammadi, Iman; Hashemikhabir, Seyedsasan; Toscos, Tammy; Wu, Huanmei (2016)

  Meeting the health care needs for underserved populations is crucial. We used EMR data to investigate the relationship between diagnoses and patient characteristics to help providers redesign healthcare systems that can ...
• Visualization of Usability and Functionality of a Professional Website Through Web-Mining 

  Jones, Josette; Mahoui, Malika; Anderson, Kanitha; Zollinger, Derek (2007)

  The present study uses a data-mining approach to visualize the usability and functionality of a digital library through in-depth analyses of the web logs.
• Development of User-Centered Interfaces to Search the Knowledge Resources of the Virginia Henderson International Nursing Library 

  Jones, Josette; Harris, Marcelline; Thompson, Cheryl Bagley (2003)

  The primary aim of this collaborative research project was to develop "tell and ask" functional interface where the nurse communicates with the knowledge base by making logical assertions based on his/her domain knowledge.
• AZEBRA (Almost Zero Error Basepair-based Record Alert): A genomic clinical decision support system 

  Kulanthaivel, Anand; Kshirsagar, Madhura M.; Alarifi, Mohammad; Oki, Mark N.; Jones, Josette F. (2017)

  The idea of the United States's Precision Medicine Initiative (PMI) was to allow providers (and patients) to leverage large amounts of information (including patient genomic data) in order to create actionable knowledge ...

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