[PDF][PDF] The Role of Text Analytics in Healthcare: A Review of Recent Developments and Applications.
The implementation of Data Analytics has achieved a significant momentum across a very
wide range of domains. Part of that progress is directly linked to the implementation of Text …
wide range of domains. Part of that progress is directly linked to the implementation of Text …
Natural language processing in surgery: a systematic review and meta-analysis
Objective: The aim of this study was to systematically assess the application and potential
benefits of natural language processing (NLP) in surgical outcomes research. Summary …
benefits of natural language processing (NLP) in surgical outcomes research. Summary …
The revival of the notes field: leveraging the unstructured content in electronic health records
Problem: Clinical practice requires the production of a time-and resource-consuming great
amount of notes. They contain relevant information, but their secondary use is almost …
amount of notes. They contain relevant information, but their secondary use is almost …
Natural language processing applications in the clinical neurosciences: A machine learning augmented systematic review
Natural language processing (NLP), a domain of artificial intelligence (AI) that models
human language, has been used in medicine to automate diagnostics, detect adverse …
human language, has been used in medicine to automate diagnostics, detect adverse …
Effect of a real-time automatic nosocomial infection surveillance system on hospital-acquired infection prevention and control
R Wen, X Li, T Liu, G Lin - BMC Infectious Diseases, 2022 - Springer
Background The systematic collection of valid data related to hospital-acquired infections
(HAIs) is considered effective for nosocomial infection prevention and control programs …
(HAIs) is considered effective for nosocomial infection prevention and control programs …
The augmented value of using clinical notes in semi-automated surveillance of deep surgical site infections after colorectal surgery
JDM Verberk, SD van der Werff, R Weegar… - … Resistance & Infection …, 2023 - Springer
Background In patients who underwent colorectal surgery, an existing semi-automated
surveillance algorithm based on structured data achieves high sensitivity in detecting deep …
surveillance algorithm based on structured data achieves high sensitivity in detecting deep …
Predicting infections using computational intelligence–a systematic review
Infections encompass a set of medical conditions of very diverse kinds that can pose a
significant risk to health, and even death. As with many other diseases, early diagnosis can …
significant risk to health, and even death. As with many other diseases, early diagnosis can …
Artificial intelligence model for risk management in healthcare institutions: towards sustainable development
This paper proposes an artificial intelligence model to manage risks in healthcare
institutions. This model uses a trendy data source, social media, and employs users' …
institutions. This model uses a trendy data source, social media, and employs users' …
[HTML][HTML] Automated Identification of Postoperative Infections to Allow Prediction and Surveillance Based on Electronic Health Record Data: Sco** Review
SL van der Meijden, AM van Boekel… - JMIR medical …, 2024 - medinform.jmir.org
Background: Postoperative infections remain a crucial challenge in health care, resulting in
high morbidity, mortality, and costs. Accurate identification and labeling of patients with …
high morbidity, mortality, and costs. Accurate identification and labeling of patients with …
Contextualized French language models for biomedical named entity recognition
Named entity recognition (NER) is key for biomedical applications as it allows knowledge
discovery in free text data. As entities are semantic phrases, their meaning is conditioned to …
discovery in free text data. As entities are semantic phrases, their meaning is conditioned to …