Full Text Journal Articles by
Author Jake Luo

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Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities.

Jake Luo, Ling Tong, Bradley H Crotty, Melek Somai, Bradley Taylor, Kristen Osinski, Ben George,

<h4>Background</h4>The telemedicine industry has been experiencing fast growth in recent years. The outbreak of coronavirus disease 2019 (COVID-19) further accelerated the deployment and utilization of telemedicine services. An analysis of the socioeconomic characteristics of telemedicine users to understand potential socioeconomic gaps and disparities is critical for improving the adoption of ... Read more >>

Appl Clin Inform (Applied clinical informatics)
[2021, 12(4):836-844]

Cited: 0 times

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Socioeconomic Determinants of Tertiary Rhinology Care Utilization.

David M Poetker, David R Friedland, Jazzmyne A Adams, Ling Tong, Kristen Osinski, Jake Luo,

<h4>Objective</h4>The objective of this study was to determine the impact of patient demographics and socioeconomic factors on the utilization of tertiary rhinology care services in an upper Midwestern academic medical center.<h4>Study design</h4>Retrospective review of electronic health records.<h4>Setting</h4>Academic medical center.<h4>Methods</h4>The electronic health record of our academic center was interrogated for the ... Read more >>

OTO Open (OTO open)
[2021, 5(2):2473974X211009830]

Cited: 0 times

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Designing a Consumer-Friendly Radiology Report using a Patient-Centered Approach.

Mohammad Alarifi, Timothy Patrick, Abdulrahman Jabour, Min Wu, Jake Luo,

Patient portals have helped accelerate patient engagement in treatment. Patient understanding of radiology reports has become a necessity, and we are working to design a patient-friendly radiology report that can be easily understood. We have based the design of this new radiology report on the results of a previous study ... Read more >>

J Digit Imaging (Journal of digital imaging)
[2021, 34(3):705-716]

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Understanding patient needs and gaps in radiology reports through online discussion forum analysis.

Mohammad Alarifi, Timothy Patrick, Abdulrahman Jabour, Min Wu, Jake Luo,

Our objective is to investigate patient needs and understand information gaps in radiology reports using patient questions that were posted on online discussion forums. We leveraged online question and answer platforms to collect questions posted by patients to understand current gaps and patient needs. We retrieved six hundred fifty-nine (659) ... Read more >>

Insights Imaging (Insights into imaging)
[2021, 12(1):50]

Cited: 1 time

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Social factors shaping the adoption of lead-filtering point-of-use systems: an observational study of an MTurk sample.

Noelle Chesley, Helen Meier, Jake Luo, Immaculate Apchemengich, W Hobart Davies,

Some municipalities are promoting lead-filtering point-of-use (POU) systems to minimize the risk of lead exposure through drinking water, often targeting use at racial minorities and low-income households. However, links among social inequality markers and adoption of these systems are not well understood. Survey data on adoption and use of POU ... Read more >>

J Water Health (Journal of water and health)
[2020, 18(4):505-521]

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Full Radiology Report through Patient Web Portal: A Literature Review.

Mohammad Alarifi, Timothy Patrick, Abdulrahman Jabour, Min Wu, Jake Luo,

The aim of this study discusses the gap between the patient web portal and providing a full radiology report. A literature review was conducted to examine radiologists, physicians, and patients' opinions and preferences of providing patients with online access radiology reports. The databases searched were Pubmed and Google Scholar and ... Read more >>

Int J Environ Res Public Health (International journal of environmental research and public health)
[2020, 17(10):]

Cited: 2 times

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Adoption of Hospital Information System Among Nurses: a Technology Acceptance Model Approach.

Hosein Barzekar, Farzad Ebrahimzadeh, Jake Luo, Mahtab Karami, Zahra Robati, Parvin Goodarzi,

<h4>Introduction</h4>The successful implementation of Hospital Information Systems (HIS) depends on user acceptance. Nurses are the largest group of HIS users in hospitals. This study aims to evaluate some factors may affect the utilization of the Hospital Information System.<h4>Aim</h4>To explore factors that contribute to using of Hospital Information System.<h4>Methods</h4>In this cross-sectional ... Read more >>

Acta Inform Med (Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH)
[2019, 27(5):305-310]

Cited: 1 time

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A Principal Components Analysis Approach to Quantifying Foot Clearance and Foot Clearance Variability.

Lauren C Benson, Stephen C Cobb, Allison S Hyngstrom, Kevin G Keenan, Jake Luo, Kristian M O'Connor,

Low foot clearance and high variability may be related to falls risk. Foot clearance is often defined as the local minimum in toe height during swing; however, not all strides have this local minimum. The primary purpose of this study was to identify a nondiscrete measure of foot clearance during ... Read more >>

J Appl Biomech (Journal of applied biomechanics)
[2019, 35(2):116-122]

Cited: 1 time

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The PsyTAR dataset: From patients generated narratives to a corpus of adverse drug events and effectiveness of psychiatric medications.

Maryam Zolnoori, Kin Wah Fung, Timothy B Patrick, Paul Fontelo, Hadi Kharrazi, Anthony Faiola, Nilay D Shah, Yi Shuan Shirley Wu, Christina E Eldredge, Jake Luo, Mike Conway, Jiaxi Zhu, Soo Kyung Park, Kelly Xu, Hamideh Moayyed,

The "Psychiatric Treatment Adverse Reactions" (PsyTAR) dataset contains patients' expression of effectiveness and adverse drug events associated with psychiatric medications. The PsyTAR was generated in four phases. In the first phase, a sample of 891 drugs reviews posted by patients on an online healthcare forum, "askapatient.com", was collected for four ... Read more >>

Data Brief (Data in brief)
[2019, 24:103838]

Cited: 1 time

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A systematic approach for developing a corpus of patient reported adverse drug events: A case study for SSRI and SNRI medications.

Maryam Zolnoori, Kin Wah Fung, Timothy B Patrick, Paul Fontelo, Hadi Kharrazi, Anthony Faiola, Yi Shuan Shirley Wu, Christina E Eldredge, Jake Luo, Mike Conway, Jiaxi Zhu, Soo Kyung Park, Kelly Xu, Hamideh Moayyed, Somaieh Goudarzvand,

"Psychiatric Treatment Adverse Reactions" (PsyTAR) corpus is an annotated corpus that has been developed using patients narrative data for psychiatric medications, particularly SSRIs (Selective Serotonin Reuptake Inhibitor) and SNRIs (Serotonin Norepinephrine Reuptake Inhibitor) medications. This corpus consists of three main components: sentence classification, entity identification, and entity normalization. We split ... Read more >>

J Biomed Inform (Journal of biomedical informatics)
[2019, 90:103091]

Cited: 5 times

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Unique Clinical Language Patterns Among Expert Vestibular Providers Can Predict Vestibular Diagnoses.

Jake Luo, Christy Erbe, David R Friedland,

<h4>Objective</h4>To identify novel language usage by expert providers predictive of specific vestibular conditions.<h4>Study design</h4>Retrospective chart review and natural language processing. Level IV.<h4>Setting</h4>Tertiary referral center.<h4>Patients</h4>Patients seen for vestibular complaint.<h4>Intervention(s)</h4>Natural language processing and machine learning analyses of semantic and syntactic patterns in clinical documentation from vestibular patients.<h4>Main outcome measure</h4>Accuracy of Naïve Bayes ... Read more >>

Otol Neurotol (Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology)
[2018, 39(9):1163-1171]

Cited: 1 time

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Identifying trippers and non-trippers based on knee kinematics during obstacle-free walking.

Lauren C Benson, Stephen C Cobb, Allison S Hyngstrom, Kevin G Keenan, Jake Luo, Kristian M O'Connor,

Trips are a major cause of falls. Sagittal-plane kinematics affect clearance between the foot and obstacles, however, it is unclear which kinematic measures during obstacle-free walking are associated with avoiding a trip when encountering an obstacle. The purpose of this study was to determine kinematic factors during obstacle-free walking that ... Read more >>

Hum Mov Sci (Human movement science)
[2018, 62:58-66]

Cited: 1 time

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Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.

Yiqing Zhao, Nooshin J Fesharaki, Hongfang Liu, Jake Luo,

<h4>Background</h4>The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing works have employed machine learning techniques to construct a knowledge base. However, they often suffer from low precision in extracting entity and relationships. In this ... Read more >>

BMC Med Inform Decis Mak (BMC medical informatics and decision making)
[2018, 18(1):61]

Cited: 6 times

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Semantic-Enhanced Query Expansion System for Retrieving Medical Image Notes.

Yiqing Zhao, Nooshin J Fesharaki, Xiaohui Li, Timothy B Patrick, Jake Luo,

Most current image retrieval methods require constructing semantic metadata for representing image content. To manually create semantic metadata for medical images is time-consuming, yet it is a crucial component for query expansion. We proposed a new method for searching medical image notes that uses semantic metadata to improve query expansion ... Read more >>

J Med Syst (Journal of medical systems)
[2018, 42(6):105]

Cited: 0 times

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Systematic data ingratiation of clinical trial recruitment locations for geographic-based query and visualization.

Jake Luo, Weiheng Chen, Min Wu, Chunhua Weng,

<h4>Background</h4>Prior studies of clinical trial planning indicate that it is crucial to search and screen recruitment sites before starting to enroll participants. However, currently there is no systematic method developed to support clinical investigators to search candidate recruitment sites according to their interested clinical trial factors.<h4>Objective</h4>In this study, we aim ... Read more >>

Int J Med Inform (International journal of medical informatics)
[2017, 108:85-91]

Cited: 0 times

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Discovering Outliers of Potential Drug Toxicities Using a Large-scale Data-driven Approach.

Jake Luo, Ron A Cisler,

We systematically compared the adverse effects of cancer drugs to detect event outliers across different clinical trials using a data-driven approach. Because many cancer drugs are toxic to patients, better understanding of adverse events of cancer drugs is critical for developing therapies that could minimize the toxic effects. However, due ... Read more >>

Cancer Inform (Cancer informatics)
[2016, 15:211-217]

Cited: 1 time

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Population Analysis of Adverse Events in Different Age Groups Using Big Clinical Trials Data.

Jake Luo, Christina Eldredge, Chi C Cho, Ron A Cisler,

<h4>Background</h4>Understanding adverse event patterns in clinical studies across populations is important for patient safety and protection in clinical trials as well as for developing appropriate drug therapies, procedures, and treatment plans.<h4>Objectives</h4>The objective of our study was to conduct a data-driven population-based analysis to estimate the incidence, diversity, and association patterns ... Read more >>

JMIR Med Inform (JMIR medical informatics)
[2016, 4(4):e30]

Cited: 3 times

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Big Data Application in Biomedical Research and Health Care: A Literature Review.

Jake Luo, Min Wu, Deepika Gopukumar, Yiqing Zhao,

Big data technologies are increasingly used for biomedical and health-care informatics research. Large amounts of biological and clinical data have been generated and collected at an unprecedented speed and scale. For example, the new generation of sequencing technologies enables the processing of billions of DNA sequence data per day, and ... Read more >>

Biomed Inform Insights (Biomedical informatics insights)
[2016, 8:1-10]

Cited: 52 times

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RMS: a platform for managing cross-disciplinary and multi-institutional research project collaboration.

Jake Luo, Carolyn Apperson-Hansen, Clara M Pelfrey, Guo-Qiang Zhang,

<h4>Background</h4>Cross-institutional cross-disciplinary collaboration has become a trend as researchers move toward building more productive and innovative teams for scientific research. Research collaboration is significantly changing the organizational structure and strategies used in the clinical and translational science domain. However, due to the obstacles of diverse administrative structures, differences in area ... Read more >>

BMC Med Inform Decis Mak (BMC medical informatics and decision making)
[2014, 14:106]

Cited: 0 times

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SimQ: real-time retrieval of similar consumer health questions.

Jake Luo, Guo-Qiang Zhang, Guo-Qiang Zhang, Susan Wentz, Licong Cui, Rong Xu,

<h4>Background</h4>There has been a significant increase in the popularity of Web-based question-and-answer (Q&A) services that provide health care information for consumers. Large amounts of Q&As have been archived in these online communities, which form a valuable knowledge base for consumers who seek answers to their health care concerns. However, due ... Read more >>

J Med Internet Res (Journal of medical Internet research)
[2015, 17(2):e43]

Cited: 4 times

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Visualizing and evaluating the growth of multi-institutional collaboration based on research network analysis.

Jake Luo, Clara Pelfrey, Guo-Qiang Zhang,

Research collaboration plays an important role in scientific productivity and academic innovation. Multi-institutional collaboration has become a vital approach for integrating multidisciplinary resources and expertise to enhance biomedical research. There is an increasing need for analyzing the effect of multi-institutional research collaboration. In this paper, we present a collaboration analysis ... Read more >>

AMIA Jt Summits Transl Sci Proc (AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science)
[2014, 2014:60-66]

Cited: 0 times

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