AIMC Topic: Public Health
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Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline.
JMIR public health and surveillance
Mar 8, 2022
BACKGROUND: In Wisconsin, COVID-19 case interview forms contain free-text fields that need to be mined to identify potential outbreaks for targeted policy making. We developed an automated pipeline to ingest the free text into a pretrained neural lan...
The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China.
PloS one
Feb 23, 2022
BACKGROUND AND OBJECTIVE: Tuberculosis (Tuberculosis, TB) is a public health problem in China, which not only endangers the population's health but also affects economic and social development. It requires an accurate prediction analysis to help to m...
Machine learning for emerging infectious disease field responses.
Scientific reports
Jan 10, 2022
Emerging infectious diseases (EIDs), including the latest COVID-19 pandemic, have emerged and raised global public health crises in recent decades. Without existing protective immunity, an EID may spread rapidly and cause mass casualties in a very sh...
Evaluation of a semi-automated data extraction tool for public health literature-based reviews: Dextr.
Environment international
Dec 14, 2021
INTRODUCTION: There has been limited development and uptake of machine-learning methods to automate data extraction for literature-based assessments. Although advanced extraction approaches have been applied to some clinical research reviews, existin...
Using systems thinking methodologies to address health care complexities and evidence implementation.
JBI evidence implementation
Nov 29, 2021
BACKGROUND: Despite health care advances, artificial intelligence and government interventions aiming to improve the health and wellbeing of citizens, huge disparities and failures in care provision exist. This is demonstrated by the rising number of...
Public Perception and Reception of Robotic Applications in Public Health Emergencies Based on a Questionnaire Survey Conducted during COVID-19.
International journal of environmental research and public health
Oct 17, 2021
Various intelligent technologies have been applied during COVID-19, which has become a worldwide public health emergency and brought significant challenges to the medical systems around the world. Notably, the application of robots has played a role ...
Efficient and targeted COVID-19 border testing via reinforcement learning.
Nature
Sep 22, 2021
Throughout the coronavirus disease 2019 (COVID-19) pandemic, countries have relied on a variety of ad hoc border control protocols to allow for non-essential travel while safeguarding public health, from quarantining all travellers to restricting ent...
Assessing the Electronic Evidence System Needs of Canadian Public Health Professionals: Cross-sectional Study.
JMIR public health and surveillance
Sep 7, 2021
BACKGROUND: True evidence-informed decision-making in public health relies on incorporating evidence from a number of sources in addition to traditional scientific evidence. Lack of access to these types of data as well as ease of use and interpretab...
The Infectious Disease Ontology in the age of COVID-19.
Journal of biomedical semantics
Jul 18, 2021
BACKGROUND: Effective response to public health emergencies, such as we are now experiencing with COVID-19, requires data sharing across multiple disciplines and data systems. Ontologies offer a powerful data sharing tool, and this holds especially f...
Applications of Artificial Intelligence and Machine Learning in Disasters and Public Health Emergencies.
Disaster medicine and public health preparedness
Jun 17, 2021
Indexed literature (from 2015 to 2020) on artificial intelligence (AI) technologies and machine learning algorithms (ML) pertaining to disasters and public health emergencies were reviewed. Search strategies were developed and conducted for PubMed an...
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