Health Information Technology Commons^™

Covid-19-Associated Pulmonary Aspergillosis: A Case Report From The Covid-19 Surveillance Program., Mohamad Belal Aldaas, Dylan Goldsmith, Forest W. Arnold

The University of Louisville Journal of Respiratory Infections

A 72-year-old male was brought to the hospital following a motorcycle crash and was admitted for multiple trauma management. His initial course of hospitalization was complicated by mild hypoxemia and altered mental status. Respiratory workup and imaging were consistent with SARS-CoV-2 pneumonia. He completed a five-day course of remdesivir and a ten-day course of dexamethasone. Twenty days later, he developed a low-grade fever. His chest computerized tomography (CT) showed gas and fluid containing parenchymal collection in the anteromedial right middle lobe measuring up to 4.8 cm, most consistent with a pulmonary abscess. Antimicrobial treatment was started.

The patient became hypoxic …

University Of Louisville International Travel Clinic: Pivoting During The Covid-19 Pandemic, Dawn Balcom, Subathra Marimuthu, Leslie A Wolf, Luanne Didelot, Sarah Tan, Daniel Hall, Ruth Carrico

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Association Of Lung Cancer With Pneumonia And Chlamydia Pneumoniae Infection, Johnny Zakhour Md, Daniel Muller, Alex Glynn, Jose Bordon

The University of Louisville Journal of Respiratory Infections

Introduction: The degree of association and type of causal versus non-causal relationship between pneumonia and lung cancer (LC) are evolving discussions. We reviewed English publications on the degree of association between pneumonia and subsequent LC.

Methods: We searched the PubMed database using key words for pneumonia, LC, and chlamydia infection. We selected peer-reviewed studies of patients with pneumonia and LC. Case reports and other literature reviews were excluded from this review.

Results: Five studies examined the incidence and/or risk of LC for a total of 415,750 patients, and four studies examined cases with Chlamydia pneumoniae chronic infection at the time …

Prediction Of Synthetic Lethal Interactions In Human Cancers Using Multi-View Graph Auto-Encoder, Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li

Research Collection School Of Computing and Information Systems

Synthetic lethality (SL) is a very important concept for the development of targeted anticancer drugs. However, experimental methods for SL detection often suffer from various issues like high cost and low consistency across cell lines. Hence, computational methods for predicting novel SLs have recently emerged as complements for wet-lab experiments. In addition, SL data can be represented as a graph where nodes are genes and edges are the SL interactions. It is thus motivated to design advanced graph-based machine learning algorithms for SL prediction. In this paper, we propose a novel SL prediction method using Multi-view Graph Auto-Encoder (SLMGAE). We …

September / October 2021, Randy Curry, Cindy Brooks

RURAL ROCKS

Rural Rocks, the Rural Health Network newsletter by the SWOSU College of Pharmacy.

Real-Time Mobile Teleophthalmology For The Detection Of Eye Disease In Minorities And Low Socioeconomics At-Risk Populations, Lama A. Al-Aswad, Cansu Yuksel Elgin, Vipul Patel, Deborah Popplewell, Kalashree Gopal, Dan Gong, Zach Thomas, Devon Joiner, Cha-Kai Chu, Gladys E. Maestre

School of Medicine Publications

Purpose: To examine the benefits and feasibility of a mobile, real-time, community-based, teleophthalmology program for detecting eye diseases in the New York metro area.

Design: Single site, nonrandomized, cross-sectional, teleophthalmologic study.

Methods: Participants underwent a comprehensive evaluation in a Wi-Fi-equipped teleophthalmology mobile unit. The evaluation consisted of a basic anamnesis with a questionnaire form, brief systemic evaluations and an ophthalmologic evaluation that included visual field, intraocular pressure, pachymetry, anterior segment optical coherence tomography, posterior segment optical coherence tomography, and nonmydriatic fundus photography. The results were evaluated in real-time and follow-up calls were scheduled to complete a secondary questionnaire form. Risk …

Constrained Contrastive Distribution Learning For Unsupervised Anomaly Detection And Localisation In Medical Images, Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon Ho Shin, Johan W. Verjans, Rajvinder Singh

Research Collection School Of Computing and Information Systems

Unsupervised anomaly detection (UAD) learns one-class classifiers exclusively with normal (i.e., healthy) images to detect any abnormal (i.e., unhealthy) samples that do not conform to the expected normal patterns. UAD has two main advantages over its fully supervised counterpart. Firstly, it is able to directly leverage large datasets available from health screening programs that contain mostly normal image samples, avoiding the costly manual labelling of abnormal samples and the subsequent issues involved in training with extremely class-imbalanced data. Further, UAD approaches can potentially detect and localise any type of lesions that deviate from the normal patterns. One significant challenge faced …

Themes, Communities And Influencers Of Online Probiotics Chatter: A Retrospective Analysis From 2009-2017, Santosh Vijaykumar, Aravind Sesagiri Raamkumar, Kristofor Mccarty, Cuthbert Mutumbwa, Jawwad Mustafa, Cyndy Au

Research Collection Lee Kong Chian School Of Business

We build on recent examinations questioning the quality of online information about probiotic products by studying the themes of content, detecting virtual communities and identifying key influencers in social media using data science techniques. We conducted topic modelling (n = 36,715 tweets) and longitudinal social network analysis (n = 17,834 tweets) of probiotic chatter on Twitter from 2009–17. We used Latent Dirichlet Allocation (LDA) to build the topic models and network analysis tool Gephi for building yearly graphs. We identified the top 10 topics of probiotics-related communication on Twitter and a constant rise in communication activity. However the number of …

Toward Improving Physician/Patient Communication Regarding Invisible Chronic Illness (Ici): The Potential Of Mhealth Technology In Instructional Communication, Jami Leigh Warren, Karen Clancy, Christy Brady, Kendall Rump, Tayla New-Oglesby

Journal of Communication Pedagogy

Patients that suffer from invisible chronic illness (ICI) such as autoimmune conditions, neurological conditions, and gastrointestinal problems often struggle to obtain a proper medical diagnosis due to a lack of objective indicators to help health-care providers diagnose patients with ICIs. Thus, researchers conducted interviews with 21 participants with Postural Orthostatic Tachycardia Syndrome (POTS) to determine what messages they received from health-care providers as they pursued a diagnosis, how they interpreted those messages, and what role mHealth technology may play in improving patient/provider communication and effective diagnosis/treatment of ICIs. Several themes regarding potential instructional communication intervention content emerged from the interview …

Introducing An Integrated Model Of Adults’ Wearable Activity Tracker Use And Obesity Information–Seeking Behaviors From A National Quota Sample Survey, Bokyung Kim, Seoyeon Celine Hong, Sungwook Kim

College of Communication & Creative Arts Departmental Research

Background: Research from multiple perspectives to investigate adults’ use of wearable activity-tracking devices is limited. We offer a multiperspective model and provide empirical evidence of what leads to frequent usage of wearable health technologies from a large, nationally representative survey sample. Objective: This study aims to explore factors affecting the use of wearable activity-tracking devices among health consumers from the perspectives of individual health beliefs (perceived severity, perceived susceptibility, perceived benefits, and self-efficacy) and information-seeking behaviors. Methods: Our Integrated Model of Wearable Activity Tracker (IMWAT) use and proposed hypotheses were validated and tested with data collected from a telephone survey …

Mobile Phone Sensors Can Discern Medication-Related Gait Quality Changes In Parkinson's Patients In The Home Environment, Albert Pierce, Niklas König Ignasiak, Wilford K. Eiteman-Pang, Cyril Rakovski, Vincent Berardi

Psychology Faculty Articles and Research

Patients with Parkinson's Disease (PD) experience daytime symptom fluctuations, which result in small amplitude, slow and unstable walking during times when medication attenuates. The ability to identify dysfunctional gait patterns throughout the day from raw mobile phone acceleration and gyroscope signals would allow the development of applications to provide real-time interventions to facilitate walking performance by, for example, providing external rhythmic cues. Patients (n = 20, mean Hoehn and Yahr: 2.25) had their ambulatory data recorded and were directly observed twice during one day: once after medication abstention, (OFF) and once approximately 30 min after intake of their medication …

Exploring Digital Health Interventions To Support Community Health Workers In Low-And-Middle-Income Countries During The Covid-19 Pandemic: A Scoping Review Protocol, Anam Shahil Feroz, Komal Valliani, Hajra Khwaja, Sehrish Karim

Community Health Sciences

Introduction: COVID-19 has significantly affected community health workers' (CHWs) performance as they are expected to perform pandemic-related tasks along with routine essential healthcare services. A plausible way to optimise CHWs' functioning during this pandemic is to couple the efforts of CHWs with digital tools. So far, no systematic evidence is available on the use of digital health interventions to support CHWs in low-middle-income countries (LMICs) amid the COVID-19 pandemic. The article describes a protocol for a scoping review of primary research studies that aim to map evidence on the use of unique digital health interventions to support CHWs during COVID-19 …

Human-Machine Communication: Complete Volume. Volume 3. Diffusion Of Human-Machine Communication During And After The Covid-19 Pandemic

Human-Machine Communication

This is the complete volume of HMC Volume 3. Diffusion of Human-Machine Communication During and After the COVID-19 Pandemic

Pulmonary Inflammation And Injury Triggered By Spine Surgery In Recovered Covid-19 Patients Demand Consideration, Luciano Rodrigo Lopes, Silvana Kertzer Kasinski

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Usability And Acceptability Of A Mobile App For Behavior Change And To Improve Immunization Coverage Among Children In Pakistan: A Mixed-Methods Study, Abdul Momin Kazi, Nazia Ahsan, Waliyah Mughis, Saima Jamal, Raheel Allana, Mehreen Raza, Sahrish Muneer, Muhammad Ayub Khan Mughal, Hussain Kalimuddin, Fareeha Sameen

Department of Paediatrics and Child Health

Background: Pakistan's immunization uptake rates are still significantly lower than anticipated despite several initiatives. Lack of awareness, forgetting about vaccination schedule, and vaccine misconception/misinformation are a few of the major drivers that mitigate the rates of immunization. The current COVID-19 pandemic emphasizes the importance of immunization. The significant reductions in regular childhood vaccination during pandemic have increased the risk of outbreaks of vaccine-preventable diseases. Concerns among parents over possibly exposing their children to COVID-19 during child visits may have contributed to the reported declines. Innovative and cost-effective mHealth interventions must be implemented in order to address the problem of inadequate …

Hallucinet-Ing Spatiotemporal Representations Using A 2d-Cnn, Paritosh Parmar, Brendan Morris

Electrical & Computer Engineering Faculty Research

Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action-related tasks. However, 3D-CNN are notorious for being memory and compute resource intensive as compared with more simple 2D-CNN architectures. We propose to hallucinate spatiotemporal representations from a 3D-CNN teacher with a 2D-CNN student. By requiring the 2D-CNN to predict the future and intuit upcoming activity, it is encouraged to gain a deeper understanding of actions and how they evolve. The hallucination task is treated as an auxiliary task, which can be used with any other action-related task in a multitask learning setting. Thorough …

Effects Of Remote Digital Monitoring On Oral Hygiene Of Orthodontic Patients: A Prospective Study, Linda Sangalli, Fabio Savoldi, Domenico Dalessandri, Stefano Bonetti, Min Gu, Alberto Signoroni, Corrado Paganelli

Oral Health Science Graduate Research

BACKGROUND: Remote digital monitoring during orthodontic treatment can help patients in improving their oral hygiene performance and reducing the number of appointments due to emergency reasons, especially in time of COVID-19 pandemic where non-urgent appointments might be discouraged.

METHODS: Thirty patients scheduled to start an orthodontic treatment were divided into two groups of fifteen. Compared to controls, study group patients were provided with scan box and cheek retractor (Dental Monitoring®) and were instructed to take monthly intra-oral scans. Plaque Index (PI), Gingival Index (GI), and White Spot Lesions (WSL) were recorded for both groups at baseline (t₀), every …

Scoping Review: The Empowerment Of Alzheimer’S Disease Caregivers With Mhealth Applications, Eunhee Kim, Andrius Baskys, Anandi V. Law, Moom R. Roosan, Yan Li, Don Roosan

Pharmacy Faculty Articles and Research

Alzheimer’s Disease (AD) is one of the most prevalent neurodegenerative chronic diseases. As it progresses, patients become increasingly dependent, and their caregivers are burdened with the increasing demand for managing their care. Mobile health (mHealth) technology, such as smartphone applications, can support the need of these caregivers. This paper examines the published academic literature of mHealth applications that support the caregivers of AD patients. Following the PRISMA for scoping reviews, we searched published literature in five electronic databases between January 2014 and January 2021. Twelve articles were included in the final review. Six themes emerged based on the functionalities provided …

Facilitating Well-Rounded Clinical Experience For Psychiatric Nurse Practitioner Students, Joan Alviar Fraino, Nancy Selix

Nursing and Health Professions Faculty Research and Publications

There is a steady increase in demand for mental health services and a lack of providers. Recent societal changes resulting from the COVID-19 pandemic have increased these needs. Psychiatric mental health nurse practitioners (PMHNP) are well suited to offer these services. High-quality clinical PMHNP student experiences are based on well-rounded curricula in a variety of clinical settings. Meeting the need for clinical education and finding high-quality preceptors is especially challenging during the pandemic due to the lack of preceptors and access to care for in-person services. Creative approaches are needed to meet student clinical experience needs.

Few-Shot Breast Cancer Metastases Classification Via Unsupervised Cell Ranking, Jiaojiao Chen, Jianbo Jiao, Shengfeng He, Guoqiang Han, Jing Qin

Research Collection School Of Computing and Information Systems

Tumor metastases detection is of great importance for the treatment of breast cancer patients. Various CNN (convolutional neural network) based methods get excellent performance in object detection/ segmentation. However, the detection of metastases in hematoxylin and eosin (H&E) stained whole-slide images (WSI) is still challenging mainly due to two aspects. (1) The resolution of the image is too large. (2) lacking labeled training data. Whole-slide images generally stored in a multi-resolution structure with multiple downsampled tiles. It is difficult to feed the whole image into memory without compression. Moreover, labeling images for the pathologists are time-consuming and expensive. In this …