Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Social media platforms are increasingly seen as a source of data on a wide range of health issues. Twitter is of particular interest for public health surveillance because of its public nature. However, the very public nature of social media platforms such as Twitter may act as a barrier to public health surveillance, as people may be reluctant to publicly disclose information about th...
Identifying populations of heart failure (HF) patients is paramount to research efforts aimed at developing strategies to effectively reduce the burden of this disease. The use of electronic medical record (EMR) data for this purpose is challenging given the syndromic nature of HF and the need to distinguish HF with preserved or reduced ejection fraction. Using a gold standard cohort of manually a...
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasing annually. If early diagnosis were implemented w...
BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be used for surveillance and early warnings of increase...
Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen lineages. Mycobacterium tuberculosis complex taxo...
Heart disease is the leading cause of death globally and a significant part of the human population lives with it. A number of risk factors have been ...
In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most ...
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark. To streamline conventional detection methods, an ...
For specific purpose, vision-based surveillance robot that can be run autonomously and able to acquire images from its dynamic environment is very imp...
The dual challenge of increasing numbers of older adults and overall increases in those with some form of insurance is driving the need to develop and...
Fall prevention is one of the most important functions of walking assistance devices for user's safety. It is preferable that these devices prevent th...
OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.
BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could improve the effectiveness and cost-effectiveness o...
The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environ...
Accurate incidence forecasting of infectious disease provides potentially valuable insights in its own right. It is critical for early prevention and ...
The purpose of this study was to quantify associations between hemoglobin A1C (A1C) and diabetes knowledge score using an assessment tool developed to...
OBJECTIVE: To estimate the rate of inpatient stay and the factors predicting inpatient status after robotic surgery for endometrial cancer following t...
OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak detection and to use the model to predict detecti...
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of the proven anti-infective measures in form of the m...
Vehicle attribute analysis is a key component of Intelligent Transportation Systems (ITS), supporting applications such as vehicle identification, tra...