Journal of Healthcare Informatics Research
Công bố khoa học tiêu biểu
* Dữ liệu chỉ mang tính chất tham khảo
Sắp xếp:
The Case for Computational Health Science
Journal of Healthcare Informatics Research - Tập 2 Số 1 - Trang 99-110 - 2018
In this introductory paper, we begin by making the case for Computational Health Science, which we define as the interdisciplinary efforts of health scientists, computer scientists, engineers, psychologists, and other social scientists, to conduct innovative research that will inform future practice directed at changing health behavior through improved communication, networking, and social capital...... hiện toàn bộ
An Interactive Visualization Tool for HL7 FHIR Specification Browsing and Profiling
Journal of Healthcare Informatics Research - Tập 3 - Trang 329-344 - 2019
The rich semantic representation and sophisticated structure definition of the HL7 Fast Healthcare Interoperability Resources (FHIR) specification require relatively great efforts to understand and utilize. The objective of our study is to design, develop, and evaluate an open-source and user-friendly visualization interface for exploring the FHIR specification. We prototyped an interactive visual...... hiện toàn bộ
Depression Detection on Social Media: A Classification Framework and Research Challenges and Opportunities
Journal of Healthcare Informatics Research - - Trang 1-33 - 2023
Social media has become a safe space for discussing sensitive topics such as mental disorders. Depression dominates mental disorders globally, and accordingly, depression detection on social media has witnessed significant research advances. This study aims to review the current state-of-the-art research methods and propose a multidimensional framework to describe the current body of literature re...... hiện toàn bộ
Robustness of Multiple Imputation Methods for Missing Risk Factor Data from Electronic Medical Records for Observational Studies
Journal of Healthcare Informatics Research - Tập 6 - Trang 385-400 - 2022
Evaluating appropriate methodologies for imputation of missing outcome data from electronic medical records (EMRs) is crucial but lacking for observational studies. Using US EMR in people with type 2 diabetes treated over 12 and 24 months with dipeptidyl peptidase 4 inhibitors (DPP-4i, n = 38,483) and glucagon-like peptide 1 receptor agonists (GLP-1RA, n = 8,977), predictors of missingness of dise...... hiện toàn bộ
NeighBERT: Medical Entity Linking Using Relation-Induced Dense Retrieval
Journal of Healthcare Informatics Research - - Trang 1-17 - 2024
One of the common tasks in clinical natural language processing is medical entity linking (MEL) which involves mention detection followed by linking the mention to an entity in a knowledge base. One reason that MEL has not been solved is due to a problem that occurs in language where ambiguous texts can be resolved to several named entities. This problem is exacerbated when processing the text fou...... hiện toàn bộ
Early Diagnosis of Neurodegenerative Diseases Using CNN-LSTM and Wavelet Transform
Journal of Healthcare Informatics Research - Tập 7 - Trang 104-124 - 2023
Early diagnosis of neurodegenerative diseases has always been a major challenge that physicians and medical practitioners face. Therefore, using any method or device that helps with prognostics is of great importance. In recent years, deep neural networks have become popular in medical fields, and the reason is that these networks can help diagnose diseases quickly and precisely. In this research,...... hiện toàn bộ
Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts
Journal of Healthcare Informatics Research - Tập 5 - Trang 474-496 - 2021
As more data is generated from medical attendances and as Artificial Neural Networks gain momentum in research and industry, computer-aided medical prognosis has become a promising technology. A common approach to perform automated prognoses relies on textual clinical notes extracted from Electronic Health Records (EHRs). Data from EHRs are fed to neural networks that produce a set with the most p...... hiện toàn bộ
COVID-19 Symptom Monitoring and Social Distancing in a University Population
Journal of Healthcare Informatics Research - Tập 5 - Trang 114-131 - 2021
This paper reports on our efforts to collect daily COVID-19-related symptoms for a large public university population, as well as study relationship between reported symptoms and individual movements. We developed a set of tools to collect and integrate individual-level data. COVID-19-related symptoms are collected using a self-reporting tool initially implemented in Qualtrics survey system and co...... hiện toàn bộ
Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges
Journal of Healthcare Informatics Research - Tập 2 - Trang 179-203 - 2018
Machine learning-based patient monitoring systems are generally deployed on remote servers for analyzing heterogeneous data. While recent advances in mobile technology provide new opportunities to deploy such systems directly on mobile devices, the development and deployment challenges are not being extensively studied by the research community. In this paper, we systematically investigate challen...... hiện toàn bộ
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction
Journal of Healthcare Informatics Research -
Tổng số: 109
- 1
- 2
- 3
- 4
- 5
- 6
- 10