A5007330219- Biomedical Text Mining and Ontologies
- Machine Learning in Healthcare
- Topic Modeling
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Chronic Lymphocytic Leukemia Research
- Statistical Methods in Clinical Trials
- Biosimilars and Bioanalytical Methods
- Electronic Health Records Systems
- Genomics and Rare Diseases
- Rheumatoid Arthritis Research and Therapies
- Radiomics and Machine Learning in Medical Imaging
Sema4 (United States)
2022-2024
Renmin University of China
2024
Due to the advantages in cost-efficiency and reproducibility, user simulation has become a promising solution user-centric evaluation of information retrieval systems. Nonetheless, accurately simulating search behaviors long been challenge, because users' actions are highly complex driven by intricate cognitive processes such as learning, reasoning, planning. Recently, Large Language Models (LLMs) have demonstrated remarked potential human-level intelligence used building autonomous agents...
Abstract The use of electronic health records (EHRs) holds the potential to enhance clinical trial activities. However, identification eligible patients within EHRs presents considerable challenges. We aimed develop a pipeline for phenotyping eligibility criteria, enabling from with characteristics that match those criteria. utilized criteria and patient Mount Sinai Database. EHR data were normalized using national standard terminologies in-house databases, facilitating computability...
The use of electronic health records (EHRs) holds the potential to enhance clinical trial activities. However, identification eligible patients within EHRs presents considerable challenges. We aimed develop a CriteriaMapper system for phenotyping eligibility criteria, enabling from with characteristics that match those criteria. utilized criteria and patient Mount Sinai Database. was developed normalize using national standard terminologies in-house databases, facilitating computability...
<title>Abstract</title> The use of electronic health records (EHRs) holds the potential to enhance clinical trial activities. However, identification eligible patients within EHRs presents considerable challenges. We aimed develop a pipeline for phenotyping eligibility criteria, enabling from with characteristics that match those criteria. utilized criteria and patient Mount Sinai Database. EHR data were normalized using national standard terminologies in-house databases, facilitating...
Background The European League Against Rheumatism (EULAR) 1 recently provided updated guidelines regarding the initiation and modification of disease-modifying antirheumatic drug (DMARD) therapy in patients with Rheumatoid Arthritis (RA). Therefore, real-world evidence studies are warranted to provide insights into first-line DMARD utilization durability response second-line setting. Objectives To analyze RA treatment patterns data compare between DMARDs + anti-TNF (TNFi) therapies vs. TNFi...