A5073729816- Artificial Intelligence in Healthcare
- Lipoproteins and Cardiovascular Health
- Microtubule and mitosis dynamics
- Physical Activity and Health
- Liver Disease Diagnosis and Treatment
- Cutaneous Melanoma Detection and Management
- Mobile Health and mHealth Applications
- Acupuncture Treatment Research Studies
- Acute Myocardial Infarction Research
- Psoriasis: Treatment and Pathogenesis
- Rheumatoid Arthritis Research and Therapies
- ECG Monitoring and Analysis
- Cardiac Imaging and Diagnostics
- Sepsis Diagnosis and Treatment
- Iron Metabolism and Disorders
- Vitamin C and Antioxidants Research
- Traditional Chinese Medicine Studies
- Nutritional Studies and Diet
- AI in cancer detection
- Dementia and Cognitive Impairment Research
- Amino Acid Enzymes and Metabolism
- Metabolomics and Mass Spectrometry Studies
- Alzheimer's disease research and treatments
- Artificial Intelligence in Healthcare and Education
- Reproductive Biology and Fertility
Ministry of Health and Welfare
2021-2024
Ming Chuan University
2021-2024
University of Ottawa
2021-2024
Ottawa Fertility Centre
2022-2024
Ottawa Hospital
2024
Chinese Culture University
2020-2023
National Yang Ming Chiao Tung University
2022
Taipei Medical University
2015-2020
National Center for Environmental Assessment (EPA)
2000
Environmental Protection Agency
2000
Artificial intelligence (AI) has emerged as a promising tool in the field of healthcare, with an increasing number research articles evaluating its applications domain kidney disease. To comprehend evolving landscape AI disease, bibliometric analysis is essential. The purposes this study are to systematically analyze and quantify scientific output, trends, collaborative networks application This collected AI-related published between 2012 20 November 2023 from Web Science. Descriptive...
Background: Cognitive impairment is one of the most common, burdensome, and costly disorders in elderly worldwide. The magnitude association between anemia overall cognitive (OCI) has not been established. Objective: We aimed to update expand previous evidence risk OCI. Methods: conducted an updated systematic review meta-analysis. searched electronic databases, including EMBASE, PubMed, Web Science for published observational studies clinical trials 1 January 1990 June 2020. excluded...
Background: Incidence of skin cancer is one the global burdens malignancies that increase each year, with melanoma being deadliest one.Imaging-based automated detection still remains challenging owing to variability in lesions and limited standard dataset availability.Recent research indicates potential deep convolutional neural networks (CNN) predicting outcomes from simple as well highly complicated images.However, its implementation requires high-class computational facility, not feasible...
Previous epidemiological studies have raised the concern that use of proton pump inhibitors (PPIs) is associated with an increased risk kidney diseases. To date, no comprehensive meta-analysis has been conducted to assess association between PPIs and chronic disease (CKD). Therefore, we a systematic review address CKD. The primary search was in most popular databases, such as PubMed, Scopus, Web Science. All observational evaluated CKD among PPI users, non-users were considered for...
Electronic health record (EHR) is a digital data format that collects electronic information about an individual patient or population. To enhance the meaningful use of EHRs, extraction techniques have been developed to recognize clinical concepts mentioned in EHRs. Nevertheless, judgment EHR cannot be known solely based on recognized without considering its contextual information. In order improve readability and accessibility this work section heading recognition system for documents....
: Fatty liver disease (FLD) is considered the most prevalent form of chronic worldwide. The prediction fatty an important factor for effective treatment and reduce serious health consequences. We, therefore construct a model based on machine learning algorithms. A dataset was developed with ten attributes that included 994 patients in which 533 were females others male. Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Network (ANN), Logistic Regression (RF) data mining...
Research into mobile health (mHealth) technologies on weight loss, physical activity, and sedentary behavior has increased substantially over the last decade; however, no research been published showing trend in this field.
The applications of artificial intelligence (AI) in dementia research have garnered significant attention, prompting the planning various endeavors current and future studies. objective this study is to provide a comprehensive overview landscape regarding AI within scholarly publications suggest further studies for emerging field. A search was conducted Web Science database collect all relevant highly cited articles on AI-related published English until 16 May 2023. Utilizing bibliometric...
Recent epidemiological studies remain controversial regarding the association between statin use and reducing risk of mortality among individuals with COVID-19.The objective this study was to clarify patients COVID-19.We conducted a systematic articles search online databases (PubMed, EMBASE, Scopus, Web Science) 1 February 2020 20 2021, no restriction on language. The following terms were used: "Statins" "COVID-19 or COVID19 SARS-CoV-2 related mortality". Two authors individually examined...
The potential impact of statins on the risk Parkinson’s disease (PD) is still controversial; therefore, we conducted a comprehensive meta-analysis observational studies to examine effect statin use PD. We searched electronic databases, such as PubMed, EMBASE, Scopus, and Web Science, for articles published between 1 January 2000 15 March 2022. Cohort which examined association PD in general population were also included. Two authors assessed data extracted all information analysis. Random...
An increasing number of children and adolescents are affected by metabolic syndrome (MetS). Dietary inflammatory index (DII) was associated with MetS in adult population. This study aimed to determine the associations between DII scores, MetS, components among adolescents.Data National Health Nutrition Examination Survey (NHANES) database 2001-2008 were obtained. calculated for each participant based on 24-h dietary recall interview. Univariate multivariate logistic regression conducted DII,...
Purpose: To develop deep learning model (Deep-KOA) that can predict the risk of knee osteoarthritis (KOA) within next year by using previous three years nonimage-based electronic medical record (EMR) data. Patients and Methods: We randomly selected information two million patients from Taiwan National Health Insurance Research Database (NHIRD) January 1, 1999 to December 31, 2013. During study period, 132,594 were diagnosed with KOA, while 1,068,464 without KOA chosen as control. constructed...