AIMC Topic: Population Surveillance

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Machine learning approaches to analysing textual injury surveillance data: a systematic review.

Accident; analysis and prevention Mar 19, 2015
OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data.
Population Surveillance Data Mining Statistics as Topic Wounds and Injuries Adolescent Child, Preschool Child Aged Models, Theoretical Male Aged, 80 and over Middle Aged Young Adult Infant Adult Humans Machine Learning Female Infant, Newborn
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Multivariate Analysis Injury Severity Score Vomiting Unconsciousness Population Surveillance Accidents, Traffic Skull Fractures Male ROC Curve Case-Control Studies Humans Logistic Models Databases, Factual Child, Preschool Machine Learning Models, Theoretical Retrospective Studies Child Algorithms Tomography, X-Ray Computed Brain Injuries Female
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[Surveillance for pneumonia of unknown etiology: current status, challenges, and implementation ways].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi May 10, 2025
The prevention and control of emerging and reemerging infectious diseases are crucial for national biosecurity, and surveillance and reporting of pneumonia of unknown etiology are main ways for the early detection of these diseases and mitigation of ...
China Population Surveillance Pneumonia Communicable Diseases, Emerging Humans Artificial Intelligence
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Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.

Emerging infectious diseases Feb 1, 2025
Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed. Open-source intelligence (OSINT)-based syndromic surveillance can overcome limitations of delayed surveillance and poor case ascertainment, providin...
Humans Artificial Intelligence Global Health Disease Outbreaks Population Surveillance Epidemiological Monitoring
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Surveillance of Health Care-Associated Violence Using Natural Language Processing.

Pediatrics Aug 1, 2024
BACKGROUND AND OBJECTIVES: Patient and family violent outbursts toward staff, caregivers, or through self-harm, have increased during the ongoing behavioral health crisis. These health care-associated violence (HAV) episodes are likely under-reported...
Hospitals, Pediatric Hospitals, Community Workplace Violence Population Surveillance Natural Language Processing Humans Tertiary Care Centers Feasibility Studies
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Advances in Artificial Intelligence for Infectious-Disease Surveillance.

The New England journal of medicine Apr 27, 2023
Artificial Intelligence Communicable Diseases Population Surveillance Humans
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Diagnostic Performance of AI for Cancers Registered in A Mammography Screening Program: A Retrospective Analysis.

Technology in cancer research & treatment Jan 1, 2022
To evaluate the performance of an artificial intelligence (AI) algorithm in a simulated screening setting and its effectiveness in detecting missed and interval cancers. Digital mammograms were collected from Bahcesehir Mammographic Screening Progr...
Risk Factors Breast Neoplasms Risk Assessment ROC Curve Humans Artificial Intelligence Retrospective Studies Female Population Surveillance Image Processing, Computer-Assisted Mammography Mass Screening Turkey Early Detection of Cancer
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Paediatric/young versus adult patients with long QT syndrome.

Open heart Sep 1, 2021
INTRODUCTION: Long QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syndrome in Asia. The present study compared the outcomes between paediatric/young and adult LQTS patients.
Population Surveillance Long QT Syndrome Age of Onset Hong Kong Child Electrocardiography Follow-Up Studies Risk Factors Young Adult Adult Male Middle Aged Risk Assessment Adolescent Incidence Machine Learning Prognosis Retrospective Studies Female Humans
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Artificial intelligence and sexual health in the USA.

The Lancet. Digital health Aug 1, 2021
Biomedical Technology Sexual Health Humans Artificial Intelligence Delivery of Health Care United States Sexually Transmitted Diseases Population Surveillance
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Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

Annals of surgery Oct 1, 2020
OBJECTIVES: We present the development and validation of a portable NLP approach for automated surveillance of SSIs.
Humans Female Aged Adult Quality Improvement Surgical Procedures, Operative Mobile Applications Male Population Surveillance Middle Aged Natural Language Processing Cohort Studies Surgical Wound Infection
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