Results 1 to 10 of about 193,678 (75)

Modeling National Trends on Health in the Philippines Using ARIMA [PDF]

Journal of Health & Medical Informatics Journal of Health & Medical Informatics Journal of Health & Medical Informatics 2020, 2021
Health is a very important prerequisite in peoples well-being and happiness. Several studies were more focused on presenting the occurrence on specific disease like forecasting the number of dengue and malaria cases. This paper utilized the time series data for trend analysis and data forecasting using ARIMA model to visualize the trends of health data
arxiv   +1 more source

Large AI Models in Health Informatics: Applications, Challenges, and the Future [PDF]

JBHI, 2023, 2023
Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions. Once pretrained, large AI models demonstrate impressive performance in various downstream tasks.
arxiv   +1 more source

Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications [PDF]

, 2023
Machine learning provides many powerful and effective techniques for analysing heterogeneous electronic health records (EHR). Administrative Health Records (AHR) are a subset of EHR collected for administrative purposes, and the use of machine learning on AHRs is a growing subfield of EHR analytics.
arxiv   +1 more source

A review of dental informatics : current trends and future directions [PDF]

Dental Research: An International Journal (DRIJ) Vol.5, No 1 2023, 2023
Dental informatics is a rapidly evolving field that combines dentistry with information technology to improve oral health care delivery, research, and education. Electronic health records (EHRs), telehealth, digital imaging, and other digital tools have revolutionised how dental professionals diagnose, treat, and manage oral health conditions.
arxiv  

Developing a Robust Computable Phenotype Definition Workflow to Describe Health and Disease in Observational Health Research [PDF]

arXiv, 2023
Health informatics can inform decisions that practitioners, patients, policymakers, and researchers need to make about health and disease. Health informatics is built upon patient health data leading to the need to codify patient health information. Such standardization is required to compute population statistics (such as prevalence, incidence, etc ...
arxiv  

Deep Learning and Health Informatics for Smart Monitoring and Diagnosis [PDF]

arXiv, 2022
The connection between the design and delivery of health care services using information technology is known as health informatics. It involves data usage, validation, and transfer of an integrated medical analysis using neural networks of multi-layer deep learning techniques to analyze complex data.
arxiv  

Global Public Health Surveillance using Media Reports: Redesigning GPHIN [PDF]

, 2020
Global public health surveillance relies on reporting structures and transmission of trustworthy health reports. But in practice, these processes may not always be fast enough, or are hindered by procedural, technical, or political barriers. GPHIN, the Global Public Health Intelligence Network, was designed in the late 1990s to scour mainstream news ...
arxiv   +1 more source

The Path to a Modular and Standards-based Digital Health Ecosystem [PDF]

arXiv, 2023
Software engineering for digital health applications entails several challenges, including heterogeneous data acquisition, data standardization, software reuse, security, and privacy considerations. We explore these challenges and how our Stanford Spezi ecosystem addresses these challenges by providing a modular and standards-based open-source digital ...
arxiv  

Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities [PDF]

arXiv, 2023
Mobile health apps hold great potential for promoting children's health and wellbeing. However, there is limited understanding of how these technologies are currently designed to support children with their health concerns or wellness goals. To gain insight into the current landscape of mobile apps designed for children's health, we retrieved and ...
arxiv  

Automatic skin lesion segmentation with fully convolutional-deconvolutional networks [PDF]

IEEE Journal of Biomedical and Health Informatics, 2018, 2017
This paper summarizes our method and validation results for the ISBI Challenge 2017 - Skin Lesion Analysis Towards Melanoma Detection - Part I: Lesion ...
arxiv   +1 more source