AIMC Topic: Health Information Systems
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MoCab: A framework for the deployment of machine learning models across health information systems.
Computer methods and programs in biomedicine
Jul 20, 2024
BACKGROUND AND OBJECTIVE: Machine learning models are vital for enhancing healthcare services. However, integrating them into health information systems (HISs) introduces challenges beyond clinical decision making, such as interoperability and divers...
Artificial Intelligence-Based Ethical Hacking for Health Information Systems: Simulation Study.
Journal of medical Internet research
Apr 25, 2023
BACKGROUND: Health information systems (HISs) are continuously targeted by hackers, who aim to bring down critical health infrastructure. This study was motivated by recent attacks on health care organizations that have resulted in the compromise of ...
Research on Sports Health Care Information System Based on Computer Deep Learning Algorithm.
Computational intelligence and neuroscience
Jun 30, 2022
There are various problems in diagnosing and treating tumor diseases in significant hospitals. The content includes misjudgement and over-surgery issues. For example, the judgment of pulmonary nodules mainly relies on artificial experience, and most ...
Improving breast cancer care coordination and symptom management by using AI driven predictive toolkits.
Breast (Edinburgh, Scotland)
Jan 21, 2020
Integrated breast cancer care is complex, marked by multiple hand-offs between primary care and specialists over an extensive period of time. Communication is essential for treatment compliance, lowering error and complication risk, as well as handli...
Using artificial intelligence to analyse and teach communication in healthcare.
Breast (Edinburgh, Scotland)
Jan 17, 2020
Communication is a core component of effective healthcare that impacts many patient and doctor outcomes, yet is complex and challenging to both analyse and teach. Human-based coding and audit systems are time-intensive and costly; thus, there is cons...
Clinical Information Systems and Artificial Intelligence: Recent Research Trends.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: This survey aims at reviewing the literature related to Clinical Information Systems (CIS), Hospital Information Systems (HIS), Electronic Health Record (EHR) systems, and how collected data can be analyzed by Artificial Intelligence (AI)...
Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition.
BMC medical informatics and decision making
Jul 15, 2019
BACKGROUND: This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clinical entities in a sentence ar...
Root Exploit Detection and Features Optimization: Mobile Device and Blockchain Based Medical Data Management.
Journal of medical systems
May 4, 2018
The increasing demand for Android mobile devices and blockchain has motivated malware creators to develop mobile malware to compromise the blockchain. Although the blockchain is secure, attackers have managed to gain access into the blockchain as leg...
Tuberculosis diagnosis support analysis for precarious health information systems.
Computer methods and programs in biomedicine
Jan 11, 2018
BACKGROUND AND OBJECTIVE: Pulmonary tuberculosis is a world emergency for the World Health Organization. Techniques and new diagnosis tools are important to battle this bacterial infection. There have been many advances in all those fields, but in de...
User recommendation in healthcare social media by assessing user similarity in heterogeneous network.
Artificial intelligence in medicine
Mar 18, 2017
OBJECTIVE: The rapid growth of online health social websites has captured a vast amount of healthcare information and made the information easy to access for health consumers. E-patients often use these social websites for informational and emotional...
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