A5075356940- Biomedical Text Mining and Ontologies
- Topic Modeling
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Statistical Methods in Clinical Trials
- Computational Drug Discovery Methods
- Radiology practices and education
- Digital Mental Health Interventions
- Natural Language Processing Techniques
- Reinforcement Learning in Robotics
- Tracheal and airway disorders
- Mobile Health and mHealth Applications
- Colorectal Cancer Screening and Detection
- Ear Surgery and Otitis Media
- Pharmacovigilance and Adverse Drug Reactions
- Vestibular and auditory disorders
- Ethics in Clinical Research
- Scientific Computing and Data Management
- AI in cancer detection
- Patient-Provider Communication in Healthcare
- AI-based Problem Solving and Planning
- Social Media in Health Education
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare
- Balance, Gait, and Falls Prevention
University of Wisconsin–Milwaukee
2016-2025
Yangzhou University
2024-2025
Chang'an University
2024
Institute of Earth Environment
2024
Hunan University
2023
Bridge University
2022
Froedtert Hospital
2021
Medical College of Wisconsin
2021
Nanjing Agricultural University
2020
Lorestan University of Medical Sciences
2019
To develop a semantic representation for clinical research eligibility criteria to automate semistructured information extraction from text.An analysis pipeline called and (EliXR) was developed that integrates syntactic parsing tree pattern mining discover common patterns in 1000 randomly selected http://ClinicalTrials.gov. The were aggregated enriched with unified medical language systems knowledge form criteria.The authors arrived at 175 patterns, which 12 role labels connected by their...
The telemedicine industry has been experiencing fast growth in recent years. outbreak of coronavirus disease 2019 (COVID-19) further accelerated the deployment and utilization services. An analysis socioeconomic characteristics users to understand potential gaps disparities is critical for improving adoption services among patients. This study aims measure correlation determinants with use Milwaukee metropolitan area. Electronic health record review patients using compared those not within...
Undiagnosed and untreated depressive disorders have become a serious public health issue it is prevalent among people of all ages, gender race. Social media sites, such as Twitter, major venue for to express/disclose their thoughts feelings. The tweets from these micro-blogging sites could be used screen potentially detect depression. To date, studies in this area focused on developing validating the terms vocabulary by users with depression, or evaluating related depression using that are...
Telemedicine has been an essential form of care since the onset COVID-19 pandemic. However, telemedicine may exacerbate disparities for populations with limited digital literacy or access, such as older adults, racial minorities, patients low income, rural residences, English proficiency. From March 2020 to 2022, this retrospective cohort study analyzed use in-person, phone/message, and telemedical at a single tertiary center in oncology department. We investigated association between...
The reactivation of old landslides can be triggered by heavy destructive earthquakes, rainfall, and ongoing human activities, thereby resulting in the occurrence secondary landslides. However, most existing models are designed for detecting nascent there few algorithms landslide detection. In this paper, we introduce a novel detection model known as YOLOv8-CW, built upon YOLOv8 (You Only Look Once) architecture, to tackle formidable challenge identifying We replace Complete-IoU loss function...
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental characterized by multiple neurocognitive deficits. Research suggests that music interventions, both active and passive, may be an effective complementary method of addressing ADHD challenges. This narrative review discusses seven potential mechanisms through which interventions help mitigate or alleviate symptoms, including executive function enhancement, timing improvement, arousal regulation, default mode...
Emerging male adults continue to be disproportionately affected by HIV compared other age groups in Sub-Saharan Africa (SSA). Recent demographic data indicate that AIDS related illness is currently the leading cause of death among young people SSA. adulthood critical when it comes sexuality because marked formation identity and establishment more mature intimate relationships which might increase vulnerability sexually transmitted infections including HIV. Understanding prevention testing...
Large language models (LLMs) hold the potential to significantly enhance data annotation for free-text healthcare records. However, ensuring their accuracy and reliability is critical, especially in clinical research applications requiring extraction of patient characteristics. This study introduces a novel evaluation framework based on Multi-Criteria Decision Analysis (MCDA) Order Preference by Similarity Ideal Solution (TOPSIS) technique, designed benchmark LLMs quality. The defines ten...
The "Psychiatric Treatment Adverse Reactions" (PsyTAR) dataset contains patients' expression of effectiveness and adverse drug events associated with psychiatric medications. PsyTAR was generated in four phases. In the first phase, a sample 891 drugs reviews posted by patients on an online healthcare forum, "askapatient.com", collected for drugs: Zoloft, Lexapro, Cymbalta, Effexor XR. For each review, patient demographic information, duration treatment, satisfaction were reported. second...
Stroke, a cerebrovascular disease, is one of the major causes death. It significant health and financial burdens for both patients care systems. One important risk factors stroke health-related behavior, which becoming an increasingly focus prevention. Many machine learning models have been built to predict or automatically diagnose stroke, using predictors such as lifestyle radiological imaging. However, there no data from lab tests.The aim this study was apply computational methods...
Genetic programming (GP) is a commonly used approach to solve symbolic regression (SR) problems. Compared with the machine learning or deep methods that depend on pre-defined model and training dataset for solving SR problems, GP more focused finding solution in search space. Although has good performance large-scale benchmarks, it randomly transforms individuals results without taking advantage of characteristics dataset. So, process usually slow, final could be unstable. To guide by these...
Background: Understanding adverse event patterns in clinical studies across populations is important for patient safety and protection trials as well developing appropriate drug therapies, procedures, treatment plans.
Abstract Our objective is to investigate patient needs and understand information gaps in radiology reports using questions that were posted on online discussion forums. We leveraged question answer platforms collect by patients current needs. retrieved six hundred fifty-nine (659) the following sites: Yahoo Answers, Reddit.com, Quora, Wiki Answers. The analyzed major themes topics identified. classified into eight themes. related topics: report, safety, price, preparation, procedure,...
The successful implementation of Hospital Information Systems (HIS) depends on user acceptance. Nurses are the largest group HIS users in hospitals. This study aims to evaluate some factors may affect utilization System.To explore that contribute using System.In this cross-sectional study, 325 nurses from training Hospitals affiliated with Lorestan University Medical Sciences (LUMS) were chosen. A valid and reliable structured questionnaire based Technology Acceptance Model 1&2 Unified...
Cancer is responsible for approximately 7.6 million deaths per year worldwide. A 2012 survey in the United Kingdom found dramatic improvement survival rates childhood cancer because of increased participation clinical trials. Unfortunately, overall patient studies low. key logistical barrier to and physician time required identification appropriate trials individual patients. We introduce Trial Prospector tool that supports end-to-end management trial recruitment workflow with (a) structured...