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Machine learning in healthcare communication
Definition Machine learning (ML) is a study of computer algorithms for automation through
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
experience. ML is a subset of artificial intelligence (AI) that develops computer systems …
A systematic review of emerging information technologies for sustainable data-centric health-care
Abstract Background Of the Sustainable Development Goals (SDGs), the third presents the
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …
A mental health chatbot with cognitive skills for personalised behavioural activation and remote health monitoring
Mental health issues are at the forefront of healthcare challenges facing contemporary
human society. These issues are most prevalent among working-age people, impacting …
human society. These issues are most prevalent among working-age people, impacting …
Cancer in lockdown: impact of the COVID‐19 pandemic on patients with cancer
The lockdown measures of the ongoing COVID‐19 pandemic have disengaged patients
with cancer from formal health care settings, leading to an increased use of social media …
with cancer from formal health care settings, leading to an increased use of social media …
An artificial intelligence life cycle: From conception to production
This paper presents the" CDAC AI life cycle," a comprehensive life cycle for the design,
development, and deployment of artificial intelligence (AI) systems and solutions. It …
development, and deployment of artificial intelligence (AI) systems and solutions. It …
Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare
Healthcare systems across the world are transitioning into patient-centered healthcare
models to ensure improved health outcomes, increased operational efficiencies and …
models to ensure improved health outcomes, increased operational efficiencies and …
Computer-aided diagnosis of external and middle ear conditions: A machine learning approach
In medicine, a misdiagnosis or the absence of specialists can affect the patient's health,
leading to unnecessary tests and increasing the costs of healthcare. In particular, the lack of …
leading to unnecessary tests and increasing the costs of healthcare. In particular, the lack of …
[HTML][HTML] Emotions of COVID-19: content analysis of self-reported information using artificial intelligence
Background The COVID-19 pandemic has disrupted human societies around the world. This
public health emergency was followed by a significant loss of human life; the ensuing social …
public health emergency was followed by a significant loss of human life; the ensuing social …
Trends in artificial intelligence in nursing: Impacts on nursing management
CY Chang, HJ Jen, WS Su - Journal of Nursing Management, 2022 - Wiley Online Library
Objective To investigate the academic use of artificial intelligence (AI) in nursing.
Background A bibliometric analysis combined with the VOSviewer software quantification …
Background A bibliometric analysis combined with the VOSviewer software quantification …
A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web
The social web has enabled individuals from all walks of life to openly express their
emotions and sentiment in relation to current affairs, local issues and personal …
emotions and sentiment in relation to current affairs, local issues and personal …