Machine learning in healthcare communication

S Siddique, JCL Chow - Encyclopedia, 2021 - mdpi.com
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 …

A systematic review of emerging information technologies for sustainable data-centric health-care

A Zahid, JK Poulsen, R Sharma… - International Journal of …, 2021 - Elsevier
Abstract Background Of the Sustainable Development Goals (SDGs), the third presents the
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

P Rathnayaka, N Mills, D Burnett, D De Silva… - Sensors, 2022 - mdpi.com
Mental health issues are at the forefront of healthcare challenges facing contemporary
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

H Moraliyage, D De Silva, W Ranasinghe… - The …, 2021 - academic.oup.com
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 …

An artificial intelligence life cycle: From conception to production

D De Silva, D Alahakoon - Patterns, 2022 - cell.com
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 …

Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare

A Adikari, D De Silva, H Moraliyage… - Future Generation …, 2022 - Elsevier
Healthcare systems across the world are transitioning into patient-centered healthcare
models to ensure improved health outcomes, increased operational efficiencies and …

Computer-aided diagnosis of external and middle ear conditions: A machine learning approach

M Viscaino, JC Maass, PH Delano, M Torrente, C Stott… - Plos one, 2020 - journals.plos.org
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 …

[HTML][HTML] Emotions of COVID-19: content analysis of self-reported information using artificial intelligence

A Adikari, R Nawaratne, D De Silva… - Journal of medical …, 2021 - jmir.org
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 …

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 …

A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web

A Adikari, G Gamage, D De Silva, N Mills… - Future Generation …, 2021 - Elsevier
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 …