A5091076774- Mobile Health and mHealth Applications
- Advanced Multi-Objective Optimization Algorithms
- Manufacturing Process and Optimization
- Metal Forming Simulation Techniques
- Inflammatory Bowel Disease
- Health Systems, Economic Evaluations, Quality of Life
- Digital Mental Health Interventions
- AI in Service Interactions
- Optimal Experimental Design Methods
- FinTech, Crowdfunding, Digital Finance
- Metallurgy and Material Forming
- Medication Adherence and Compliance
- Colorectal Cancer Screening and Detection
- Metaheuristic Optimization Algorithms Research
- Stoma care and complications
- Pharmaceutical studies and practices
- Enhanced Recovery After Surgery
- Bipolar Disorder and Treatment
- Tuberculosis Research and Epidemiology
- Probabilistic and Robust Engineering Design
- Machine Learning and Algorithms
University of California, Los Angeles
2019-2023
Centre For Digestive Diseases
2019-2020
Background The emergence of chatbots in health care is fast approaching. Data on the feasibility for chronic disease management are scarce. Objective This study aimed to explore utilizing natural language processing (NLP) categorization electronic dialog data patients with inflammatory bowel diseases (IBD) use development a chatbot. Methods Electronic collected between 2013 and 2018 from platform (UCLA eIBD) at tertiary referral center IBD University California, Los Angeles, were used. Part...
Inflammatory Bowel Diseases with its complexity and heterogeneity could benefit from the increased application of Artificial Intelligence in clinical management.To accurately predict adverse outcomes patients IBD using advanced computational models a nationally representative dataset for potential use practice.We built training model cohort validated our result separate cohort. We used LASSO Ridge regressions, Support Vector Machines, Random Forests Neural Networks to balance between...
There is increasing recognition that the order of administration drugs in drug combination studies can markedly affect outcome. Similarly, manufactured products are often sequentially produced and final quality frequently depends on assembly. Order-of-addition designs account for components, they quite prevalent, yet research this area limited. Because large dimension such optimization problems, analytical approaches invariably very limited apply to simple setups only. Numerical also...
Background:Despite advancements in treatment for inflammatory bowel disease (IBD), surgery remains inevitable patients and IBD management is costly. Introduction:Frequent postoperative monitoring needed early detection of both short-term complications long-term recurrence. We developed a care pathway home using telehealth applications. Materials Methods:We performed retrospective cohort study with matched control group to assess the efficacy Tight Control Surgery Scenario (TCSS), 4-week...
The emergence of Chat-Bots in healthcare through mobile applications is fast-approaching. A Chat-Bot a natural language processor that attempts to simulate conversation with human user. While there have been many develop interpret and triage common symptoms ailments, data on the feasibility development for chronic diseases like inflammatory bowel (IBD) scarce. In this study, we attempt explore creating specifically patients IBD by categorising retrospective electronic dialogue between...
Abstract Background Medication nonadherence is a challenge in chronic disease management. Tools that can both determine adherence levels and analyze patient-specific reasons for are lacking. Methods Our tool was developed using 23 patient-reported items its predictive performance compared with the most widely used instrument literature. Results One hundred thirty-three IBD patients were included, 44 (33%) nonadherent 89 (67%) adherent. screening question, 87% sensitivity 64% specificity,...
Medication nonadherence is a significant challenge in inflammatory bowel diseases (IBD), and associated with high costs negative outcomes. The vast majority of studies report IBD the range 30–45%. With increased adaptation electronic health (e-health) technologies, there opportunity to monitor patient adherence behaviours remotely. However, no tool exists that can both determine levels quantify patient-specific reasons for nonadherence. We developed medication index categorise assess factors...
<sec> <title>BACKGROUND</title> The emergence of chatbots in health care is fast approaching. Data on the feasibility for chronic disease management are scarce. </sec> <title>OBJECTIVE</title> This study aimed to explore utilizing natural language processing (NLP) categorization electronic dialog data patients with inflammatory bowel diseases (IBD) use development a chatbot. <title>METHODS</title> Electronic collected between 2013 and 2018 from platform (<i>UCLA eIBD</i>) at...
When studying the relationship between order of a set components and measured response in an order-of-addition experiment, number may exceed available positions.In this case there is added layer complexity which experimenter tasked with locating both best combination its corresponding order.Akin to standard setup, possible sequences grows quickly components, rendering brute force approach unfeasible.This necessitates development parsimonious designs for these screening experiments.We present...