Digital Commons Network^™

A Bibliometric Analysis Of Literatures On Uterine Leiomyosarcoma In The Last 20 Years, Jinhua Huang, Yu Chen, Ziyin Li, Mimi Chen, Dingwen Huang, Peixin Zhu, Xintong Han, Yi Zheng, Xiaochun Chen, Zhiying Yu

Faculty, Staff and Student Publications

Background: Uterine leiomyosarcoma(uLMS) is a rare malignant tumor with low clinical specificity and poor prognosis.There are many studies related to uLMS, however, there is still a lack of metrological analyses with generalization. This study provides a bibliometric study of uLMS.

Methods and materials: We chose the Web of Science (WoS) as our main database due to its extensive interdisciplinary coverage. We specifically focused on the literature from the last 20 years to ensure relevance and practicality. By utilizing the WOS core dataset and leveraging the R package "bibliometric version 4.1.0" and Citespace, we performed a comprehensive bibliometric analysis. This allowed …

Exposure To Urban Green Spaces And Mental Health During The Covid-19 Pandemic: Evidence From Two Low And Lower-Middle-Income Countries, Muhammad Mainuddin Patwary, Mondira Bardhan, Hüseyin Ertan İnan, Matthew H E M Browning, Asma Safia Disha, Md Zahidul Haque, Mai Helmy, Sadia Ashraf, Angel M Dzhambov, Faysal Kabir Shuvo, Md Ashraful Alam, Sharif Mutasim Billah, Md Pervez Kabir, Md Riad Hossain, Md Golam Azam, Md Mijanur Rahman, Sarya Swed, Ranjit Sah, Juan J Montenegro-Idrogo, D Katterine Bonilla-Aldana, Alfonso J Rodriguez-Morales

Faculty, Staff and Student Publications

INTRODUCTION: The COVID-19 pandemic has had a significant impact on mental health globally, with limited access to mental health care affecting low- and middle-income countries (LMICs) the most. In response, alternative strategies to support mental health have been necessary, with access to green spaces being a potential solution. While studies have highlighted the role of green spaces in promoting mental health during pandemic lockdowns, few studies have focused on the role of green spaces in mental health recovery after lockdowns. This study investigated changes in green space access and associations with mental health recovery in Bangladesh and Egypt across the …

Willingness To Accept Monkeypox Vaccine And Its Correlates Among Men Who Have Sex With Men In Southern China: A Web-Based Online Cross-Sectional Study, Xinju Huang, Zhifeng Lin, Jiao Qin, Dee Yu, Fei Zhang, Ganggang Fang, Xi Chen, Jinfeng He, Ping Cen, Mu Li, Rongjing Zhang, Tong Luo, Junjun Jiang, Sanqi An, Hao Liang, Li Ye, Bingyu Liang

Faculty, Staff and Student Publications

BACKGROUND: The May 2022 global outbreak of monkeypox (MPX) poses a threat to the health of men who have sex with men. However, there is limited data on the willingness of MSM to receive monkeypox vaccination in Southern China. This study aimed to assess the knowledge of MPX, concerns regarding MPX, and willingness to receive monkeypox vaccination, as well as their correlates, among MSM in China.

METHODS: We conducted a Web-based online survey of MSM in Southern China from August to September 2022. Data were collected on the socio-demographic characteristics, knowledge, worries, concerns regarding MPX and willingness to receive monkeypox …

Promising Response Of Olaparib In Patient With Germline Atm-Mutated Metastatic Gastric Cancer, Kok Hoe Chan, Darius Rutazanaa, Curtis Wray, Nirav Thosani, Victor Yang, Putao Cen

Faculty, Staff and Student Publications

Gastric cancer ranks as the fifth leading cause of global cancer incidences, exhibiting varied prevalence influenced by geographical, ethnic, and lifestyle factors, as well as

Pregnancy-Related Factors Responsible For Delivering Low Birth Weight Babies: An Institutional-Based Cross-Sectional Study, Jamnagar, Gujarat, Harsh K Patel, Jitesh P Mehta, Bela A Patel, Rohitkumar Ram, Dipesh V Parmar

Faculty, Staff and Student Publications

BACKGROUND: The WHO defines LBW as "Birth weight less than 2500 grams" regardless of gestational age. Being born with a low birth weight also incurs enormous economic costs, including higher medical expenditures and social service expenses, and decreased productivity in adulthood.

OBJECTIVE: To study distribution of newborns' according to pregnancy related factors and its association with newborns' birth weight.

METHODS: An institutional based cross-sectional study. New-borns delivered at study institute were considered as study participants. Estimated final sample size was 500. Guardians (mothers) were face-to-face interviewed and also recorded data were collected from the case file and Mother and Child …

Healthcare Utilization And Clinical Characteristics Of Genetic Epilepsy In Electronic Health Records, Christian M Boßelmann, Alina Ivaniuk, Mark St John, Sara C Taylor, Gokul Krishnaswamy, Alex Milinovich, Costin Leu, Ajay Gupta, Elia M Pestana-Knight, Imad Najm, Dennis Lal

Faculty, Staff and Student Publications

Understanding the clinical characteristics and medical treatment of individuals affected by genetic epilepsies is instrumental in guiding selection for genetic testing, defining the phenotype range of these rare disorders, optimizing patient care pathways and pinpointing unaddressed medical need by quantifying healthcare resource utilization. To date, a matched longitudinal cohort study encompassing the entire spectrum of clinical characteristics and medical treatment from childhood through adolescence has not been performed. We identified individuals with genetic and non-genetic epilepsies and onset at ages 0–5 years by linkage across the Cleveland Clinic Health System. We used natural language processing to extract medical terms and …

Anesthetized Animal Experiments For Neuroscience Research, Shin Nagayama, Sanae Hasegawa-Ishii, Shu Kikuta

Faculty, Staff and Student Publications

Brain research has progressed with anesthetized animal experiments for a long time. Recent progress in research techniques allows us to measure neuronal activity in awake animals combined with behavioral tasks. The trends became more prominent in the last decade. This new research style triggers the paradigm shift in the research of brain science, and new insights into brain function have been revealed. It is reasonable to consider that awake animal experiments are more ideal for understanding naturalistic brain function than anesthetized ones. However, the anesthetized animal experiment still has advantages in some experiments. To take advantage of the anesthetized animal …

Simultaneous Submission Of Seven Ctsa Proposals: Um1, K12, R25, T32-Predoctoral, T32-Postdoctoral, And Rc2: Strategies, Evaluation, And Lessons Learned, Carolina Lema, Kwai Wa Cheng, Delanderia M Anderson, Charles C Miller, Daniel D Karp, David D Mcpherson, Satya Sree N Kolar

Faculty, Staff and Student Publications

Translation is the process of turning observations in the research laboratory, clinic, and community into interventions that improve people's health. The Clinical and Translational Science Awards (CTSA) program is a National Center for Advancing Translational Sciences (NCATS) initiative to advance translational science and research. Currently, 64 "CTSA hubs" exist across the nation. Since 2006, the Houston-based Center for Clinical Translational Sciences (CCTS) has assembled a well-integrated, high-impact hub in Texas that includes six partner institutions within the state, encompassing ∼23,000 sq. miles and over 16 million residents. To achieve the NCATS goal of "more treatments for all people more quickly," …

Predicting Suicidality In Late-Life Depression By 3d Convolutional Neural Network And Cross-Sample Entropy Analysis Of Resting-State Fmri, Chemin Lin, Chih-Mao Huang, Wei Chang, You-Xun Chang, Ho-Ling Liu, Shu-Hang Ng, Huang-Li Lin, Tatia Mei-Chun Lee, Shwu-Hua Lee, Shun-Chi Wu

Faculty, Staff and Student Publications

Background: Predicting suicide is a pressing issue among older adults; however, predicting its risk is difficult. Capitalizing on the recent development of machine learning, considerable progress has been made in predicting complex behavior such as suicide. As depression remained the strongest risk for suicide, we aimed to apply deep learning algorithms to identify suicidality in a group with late-life depression (LLD).

Methods: We enrolled 83 patients with LLD, 35 of which were non-suicidal and 48 were suicidal, including 26 with only suicidal ideation and 22 with past suicide attempts, for resting-state functional magnetic resonance imaging (MRI). Cross-sample entropy (CSE) analysis …

Correction: Preclinical Development Of 1b7/Cd3, A Novel Anti-Tslpr Bispecific Antibody That Targets Crlf2-Rearranged Ph-Like B-All, Ze Tian, Chunhua Shi, Guojun Yang, Jason K Allen, Qing Shi, Amin Al-Shami, Jill Wardell Olson, Melinda G Smith, Qing Chang, Jasbir Kaur, Junping You, Timothy E Lofton, Michelle A Gonzalez, Qi Zhang, Dongxing Zha, Sarah K Tasian, Nitin Jain, Marina Y Konopleva, Timothy Heffernan, Jeffrey J Molldrem

Faculty, Staff and Student Publications

No abstract provided.

Meta-Analysis Of The Vmp-Like Sequences Of Lyme Disease Borrelia: Evidence For The Evolution Of An Elaborate Antigenic Variation System, Steven J Norris, Kalvis Brangulis

Faculty, Staff and Student Publications

VMP-like sequence (vls) antigenic variation systems are present in every Lyme disease Borrelia strain with complete genome sequences. The linear plasmid-encoded vls system consists of a single expression site (vlsE) and contiguous array(s) of silent cassettes that have ~90% identity with the central cassette region of the cognate vlsE gene; antigenic variation occurs through random, segmental, and unidirectional recombination of vls silent cassette sequences into the vlsE expression site. Automated annotation programs do not accurately recognize vls silent cassette sequences, so these regions are not correctly annotated in most genomic sequences. In this study, the vls …

Multicenter Randomized Controlled Trial Of Exercise In Aortic Dissection Survivors: Rationale, Design, And Initial Hemodynamic Data, Yasmin A Toy, Kayla N House, Leslie M Boyer, Jennifer L Mcnamara, Marion A Hofmann-Bowman, Kim A Eagle, Michelle S Lim, Alan C Braverman, Siddharth K Prakash

Faculty, Staff and Student Publications

Aims: There are currently no evidence-based guidelines for exercise after thoracic aortic dissection (TAD), leading to highly variable recommendations that frequently lead patients to restrict their physical activities. This multicenter randomized controlled trial was intended to evaluate the safety and efficacy of a moderate intensity guided exercise program for TAD survivors.

Methods: Participants were eligible if they had a Type A or Type B dissection at least 90 days before enrollment and could attend two in-person study visits. The guided exercise circuit consisted of six aerobic, isotonic, or isometric exercises that participants continued at home with virtual follow-up sessions. The …

Treatment Comparisons In Adaptive Platform Trials Adjusting For Temporal Drift, Beibei Guo, Li Wang, Ying Yuan

Faculty, Staff and Student Publications

An adaptive platform trial (APT) is a multi-arm trial in the context of a single disease where treatment arms are allowed to enter or leave the trial based on some decision rule. If a treatment enters the trial later than the control arm, there exist non-concurrent controls who were not randomized between the two arms under comparison. As APTs typically take long periods of time to conduct, temporal drift may occur, which requires the treatment comparisons to be adjusted for this temporal change. Under the causal inference framework, we propose two approaches for treatment comparisons in APTs that account for …

Transcriptomics Analysis Reveals Potential Mechanisms Underlying Mitochondrial Dysfunction And T Cell Exhaustion In Astronauts’ Blood Cells In Space, Maria Moreno-Villanueva, Luis E Jimenez-Chavez, Stephanie Krieger, Liang-Hao Ding, Ye Zhang, Adriana Babiak-Vazquez, Mark Berres, Sandra Splinter, Kristen E Pauken, Brian C Schaefer, Brian E Crucian, Honglu Wu

Faculty, Staff and Student Publications

Introduction: The impact of spaceflight on the immune system and mitochondria has been investigated for decades. However, the molecular mechanisms underlying spaceflight-induced immune dysregulations are still unclear.

Methods: In this study, blood from eleven crewmembers was collected before and during International Space Station (ISS) missions. Transcriptomic analysis was performed in isolated peripheral blood mononuclear cells (PBMCs) using RNA-sequencing. Differentially expresses genes (DEG) in space were determined by comparing of the inflight to the preflight samples. Pathways and statistical analyses of these DEG were performed using the Ingenuity Pathway Analysis (IPA) tool.

Results: In comparison to pre-flight, a total of 2030 …

Exploratory Pilot Study To Characterize The Immune Landscapes Of Malignant Pleural Effusions And Their Corresponding Primary Tumors From Patients With Breast Carcinoma And Lung Adenocarcinoma, Caddie Laberiano-Fernandez, Qiong Gan, Sophia Mei Wang, Auriole Tamegnon, Ignacio Wistuba, Esther Yoon, Sinchita Roy-Chowdhuri, Edwin Roger Parra

Faculty, Staff and Student Publications

Introduction: Malignant pleural effusion (MPE) is a frequent complication of advanced malignancies. In this pilot study, we characterized the immune landscapes of MPEs, compared them to their primary tumor (PT) samples from breast carcinoma (BC) and lung adenocarcinoma (LADC), and tested the utility of multiplexed image technology in cytological samples.

Materials and methods: We evaluated the immune contexture of 6 BC and 5 LADC MPEs and their PTs using 3 multiplex immunofluorescence panels. We explored the associations between sample characteristics and pleural effusion-free survival.

Results: No MPE samples had positive programmed death-ligand 1 expression in malignant cells, although 3 of …

Weak Supervision, Strong Results: Achieving High Performance In Intracranial Hemorrhage Detection With Fewer Annotation Labels, Kareem A Wahid, David Fuentes

Faculty, Staff and Student Publications

No abstract provided.

Perceptions Of The Addictiveness Of Low-Nicotine Cigarettes Versus Typical Cigarettes And Exposure To Tobacco Industry-Sponsored Corrective Campaign, Onyema Greg Chido-Amajuoyi, Dale S Mantey, Efehi Igbinomwanhia, Onyinye Omega-Njemnobi, Henry Onyeaka, Robert K Yu, Israel Agaku, Sanjay Shete

Faculty, Staff and Student Publications

Background: In 2017, the U.S. Food and Drug Administration (FDA) announced a regulatory plan to reduce the nicotine content of cigarettes. This study examines the association of exposure to industry-sponsored corrective statements on perceptions of the addictiveness of low-nicotine cigarettes relative to typical cigarettes within the general US population.

Methods: The study comprised 4975 US adult respondents of the 2019 Health Information National Trends Survey (HINTS 5, Cycle 3). Multinomial logistic regression models were used to examine associations between exposure to tobacco industry corrective messages and perceptions of the addictiveness of low-nicotine cigarettes relative to typical cigarettes.

Results: In the …

Registration Of Hyperspectral Images And Mass Spectrometry Data For The Correlation Of Tissue Optical Spectra And Molecular Profiles, Angie T Fei, Douglas W Strand, Jing Wang

Faculty, Staff and Student Publications

Hyperspectral imaging (HSI) is a label-free imaging modality that is emerging for non-invasive detection of various diseases including cancers. HSI provides high-resolution spatial images where each pixel has a spectral curve with numerous wavelength bands from the visible to infrared ranges. The rich spatial and spectral information can be used to discriminate various types of tissues and pathophysiological conditions. However, it can be difficult to explain spectral data with respect to the underline cellular and molecular mechanism. In this study, we developed an approach that registers hyperspectral images and mass spectrometry (MS) data where MS provides tissue molecular profiles. Human …

Unicentric Castleman Disease: Illustration Of Its Morphologic Spectrum And Review Of The Differential Diagnosis, Siba El Hussein, Andrew G Evans, Hong Fang, Wei Wang, L Jeffrey Medeiros

Faculty, Staff and Student Publications

Context: Unicentric Castleman disease (UCD) is a dynamic entity with a wide spectrum of morphologic findings. UCD can be further subdivided into hyaline-vascular and mixed/plasmacytic variants. Hyaline-vascular UCD has both follicular and interfollicular (stromal) changes, and occasionally these lesions show a skewed representation of either the follicular or stromal compartments. Plasmacytosis is usually minimal in the hyaline-vascular variant. The mixed/plasmacytic variant of UCD is composed of sheets of plasma cells often associated with a variable number of follicles with regressive changes.

Objective: To illustrate the differential diagnosis of UCD, as it is quite broad and includes lymphomas, plasma cell neoplasms, …

Author Correction: Neoadjuvant Atezolizumab For Resectable Non-Small Cell Lung Cancer: An Open-Label, Single-Arm Phase Ii Trial, Jamie E Chaft, Filiz Oezkan, Mark G Kris, Paul A Bunn, Ignacio I Wistuba, David J Kwiatkowski, Dwight H Owen, Yan Tang, Bruce E Johnson, Jay M Lee, Gerard Lozanski, Maciej Pietrzak, Michal Seweryn, Woo Yul Byun, Katja Schulze, Alan Nicholas, Ann Johnson, Jessica Grindheim, Stephanie Hilz, David S Shames, Chris Rivard, Eric Toloza, Eric B Haura, Ciaran J Mcnamee, G Alexander Patterson, Saiama N Waqar, Valerie W Rusch, David P Carbone

Faculty, Staff and Student Publications

No abstract provided.

Risk Stratification And Prediction Of Severity Of Covid-19 Infection In Patients With Preexisting Cardiovascular Disease, Stanislava Matejin, Igor D Gregoric, Rajko Radovancevic, Slobodan Paessler, Vladimir Perovic

Faculty, Staff and Student Publications

Introduction: Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 is a highly contagious viral disease. Cardiovascular diseases and heart failure elevate the risk of mechanical ventilation and fatal outcomes among COVID-19 patients, while COVID-19 itself increases the likelihood of adverse cardiovascular outcomes.

Methods: We collected blood samples and clinical data from hospitalized cardiovascular patients with and without proven COVID-19 infection in the time period before the vaccine became available. Statistical correlation analysis and machine learning were used to evaluate and identify individual parameters that could predict the risk of needing mechanical ventilation and patient survival.

Results: Our results confirmed that COVID-19 …

Author Correction: Enhanced Cd19 Activity In B Cells Contributes To Immunodeficiency In Mice Deficient In The Icf Syndrome Gene Zbtb24, Zhengzhou Ying, Swanand Hardikar, Joshua B Plummer, Tewfik Hamidi, Bin Liu, Yueping Chen, Jianjun Shen, Yunxiang Mu, Kevin M Mcbride, Taiping Chen

Faculty, Staff and Student Publications

No abstract provided.

Accelerate Vaccine Development Using Seamless Phase 2/3 Trial Designs, Jia-Ying Yang, Guo-Chun Li, Ying Yuan

Faculty, Staff and Student Publications

Background: Traditional vaccine development, often a lengthy and costly process of three separated phases. However, the swift development of COVID-19 vaccines highlighted the critical importance of accelerating the approval of vaccines. This article showcases a seamless phase 2/3 trial design to expedite the development process, particularly for multi-valent vaccines.

Research design and methods: This study utilizes simulation to compare the performance of seamless phase 2/3 design with that of conventional trial design, specifically by re-envisioning a 9-valent HPV vaccine trial. Across three cases, several key performance metrics are evaluated: overall power, type I error rate, average sample size, trial duration, …

Post-Covid-19 Cognitive Symptoms In Patients Assisted By A Teleassistance Service: A Retrospective Cohort Study, Lívia Paula Freire Bonfim, Thais Rotsen Correa, Bruno Cabaleiro Cortizo Freire, Thais Marques Pedroso, Daniella Nunes Pereira, Thalita Baptisteli Fernandes, Luciane Kopittke, Clara Rodrigues Alves De Oliveira, Antonio Lucio Teixeira, Milena Soriano Marcolino

Faculty, Staff and Student Publications

INTRODUCTION: Four years after the onset of the COVID-19 pandemic, the frequency of long-term post-COVID-19 cognitive symptoms is a matter of concern given the impact it may have on the work and quality of life of affected people.

OBJECTIVE: To evaluate the incidence of post-acute COVID-19 cognitive symptoms, as well as the associated risk factors.

METHODS: Retrospective cohort, including outpatients with laboratory-confirmed COVID-19 and who were assisted by a public telehealth service provided by the Telehealth Network of Minas Gerais (TNMG), during the acute phase of the disease, between December/2020 and March/2022. Data were collected through a structured questionnaire, applied …

Association Between Symptom Burden And Early Lymphatic Abnormalities After Regional Nodal Irradiation For Breast Cancer, Alison K Yoder, Tianlin Xu, Peter Youssef, Sarah Desnyder, Kathryn E Marqueen, Lynn Isales, Ruitao Lin, Benjamin D Smith, Wendy A Woodward, Michael C Stauder, Eric A Strom, Melissa B Aldrich, Simona F Shaitelman

Faculty, Staff and Student Publications

PURPOSE: Dermal backflow visualized on near-infrared fluorescence lymphatic imaging (NIRF-LI) signals preclinical lymphedema that precedes the development of volumetrically defined lymphedema. We sought to evaluate whether dermal backflow correlates with patient-reported lymphedema outcomes (PRLO) surveys in breast cancer patients treated with regional nodal irradiation (RNI).

METHODS AND MATERIALS: Patients with breast cancer planned for axillary dissection and RNI prospectively underwent perometry, NIRF-LI, and PRLOs (the Lymphedema Symptom Intensity and Distress Survey [LSIDS] and QuickDASH) at baseline, after surgery, and at 6, 12, and 18 months after radiation. Clinical lymphedema was defined as an arm volume increase ≥5% over baseline. Trends …

The Enact Network Is Acting On Housing Instability And The Unhoused Using The Open Health Natural Language Processing Toolkit, Daniel R Harris, Sunyang Fu, Andrew Wen, Alexandria Corbeau, Darren Henderson, Jordan Hilsman, David Oniani, Yanshan Wang

Faculty, Staff and Student Publications

Housing is an environmental social determinant of health that is linked to mortality and clinical outcomes. We developed a lexicon of housing-related concepts and rule-based natural language processing methods for identifying these housing-related concepts within clinical text. We piloted our methods on several test cohorts: a synthetic cohort generated by ChatGPT for initial infrastructure testing, a cohort with substance use disorders (SUD), and a cohort diagnosed with problems related to housing and economic circumstances (HEC). Our methods successfully identified housing concepts in our ChatGPT notes (recall = 1.0, precision = 1.0), our SUD population (recall = 0.9798, precision = 0.9898), …

The Use Of Large Language Models To Accelerate Literature Review Towards Digital Health Equity And Inclusiveness, Taylor B Harrison, Dian Hu, Sunyang Fu, Hongfang Liu

Faculty, Staff and Student Publications

Digital health technologies (DHTs) have revolutionized clinical trials, offering unprecedented opportunities to streamline processes, enhance patient engagement, and improve data quality. Growing technology device and broadband access are contributing to the increasing number of DHT-enabled trials. Ideally, DHTs have the potential to make clinical research more inclusive and diverse. However, while the variety in digital technologies and implementations present a strong display of healthcare innovation, major challenges arise concerning DHT generalizability and translation into real-world medical practice. In this study, we report our efforts in accelerating the literature review process related to the use of DHTs in randomized controlled trials …

Large Language Models Struggle In Token-Level Clinical Named Entity Recognition, Qiuhao Lu, Rui Li, Andrew Wen, Jinlian Wang, Liwei Wang, Hongfang Liu

Faculty, Staff and Student Publications

Large Language Models (LLMs) have revolutionized various sectors, including healthcare where they are employed in diverse applications. Their utility is particularly significant in the context of rare diseases, where data scarcity, complexity, and specificity pose considerable challenges. In the clinical domain, Named Entity Recognition (NER) stands out as an essential task and it plays a crucial role in extracting relevant information from clinical texts. Despite the promise of LLMs, current research mostly concentrates on document-level NER, identifying entities in a more general context across entire documents, without extracting their precise location. Additionally, efforts have been directed towards adapting ChatGPTfor token-level …

Pferm: A Fair Empirical Risk Minimization Approach With Prior Knowledge, Bojian Hou, Andrés Mondragón, Davoud Ataee Tarzanagh, Zhuoping Zhou, Andrew J Saykin, Jason H Moore, Marylyn D Ritchie, Qi Long, Li Shen

Faculty, Staff and Student Publications

Fairness is crucial in machine learning to prevent bias based on sensitive attributes in classifier predictions. However, the pursuit of strict fairness often sacrifices accuracy, particularly when significant prevalence disparities exist among groups, making classifiers less practical. For example, Alzheimer's disease (AD) is more prevalent in women than men, making equal treatment inequitable for females. Accounting for prevalence ratios among groups is essential for fair decision-making. In this paper, we introduce prior knowledge for fairness, which incorporates prevalence ratio information into the fairness constraint within the Empirical Risk Minimization (ERM) framework. We develop the Prior-knowledge-guided Fair ERM (PFERM) framework, aiming …

Fairness-Aware Estimation Of Graphical Models, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen

Faculty, Staff and Student Publications

This paper examines the issue of fairness in the estimation of graphical models (GMs), particularly Gaussian, Covariance, and Ising models. These models play a vital role in understanding complex relationships in high-dimensional data. However, standard GMs can result in biased outcomes, especially when the underlying data involves sensitive characteristics or protected groups. To address this, we introduce a comprehensive framework designed to reduce bias in the estimation of GMs related to protected attributes. Our approach involves the integration of the pairwise graph disparity error and a tailored loss function into a nonsmooth multi-objective optimization problem, striving to achieve fairness across …