[HTML][HTML] Adoption of digital technologies in health care during the COVID-19 pandemic: systematic review of early scientific literature

D Golinelli, E Boetto, G Carullo, AG Nuzzolese… - Journal of medical …, 2020 - jmir.org
Background The COVID-19 pandemic is favoring digital transitions in many industries and in
society as a whole. Health care organizations have responded to the first phase of the …

Leveraging artificial intelligence for pandemic preparedness and response: a scoping review to identify key use cases

A Syrowatka, M Kuznetsova, A Alsubai… - NPJ digital …, 2021 - nature.com
Artificial intelligence (AI) represents a valuable tool that could be widely used to inform
clinical and public health decision-making to effectively manage the impacts of a pandemic …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - arXiv preprint arXiv …, 2020 - arxiv.org
Artificial intelligence (AI) has been applied widely in our daily lives in a variety of ways with
numerous success stories. AI has also contributed to dealing with the coronavirus disease …

How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: a literature review

D Golinelli, E Boetto, G Carullo, AG Nuzzolese… - MedRxiv, 2020 - medrxiv.org
Background Healthcare is responding to the COVID-19 pandemic through the fast adoption
of digital solutions and advanced technology tools. The aim of this study is to describe which …

[HTML][HTML] The need for developing technology-enabled, safe, and ethical workforce for healthcare delivery

SN Sarbadhikari, KB Pradhan - Safety and Health at Work, 2020 - Elsevier
Strengthening of the health system is a safety imperative, especially in a crisis as caused by
the ongoing COVID-19 pandemic. While there is a need for enhancing the number and skill …

Organic compounds based on 1-(prop-2-yn-1-ylamino)-2, 3-dihydro-1H-indene-4-thiol as selective human monoamine oxidase B inhibitors. Quantitative analysis of …

MA El Alaouy, S El Bahi, M Boutalaka… - Moroccan Journal of …, 2023 - revues.imist.ma
Abstract After Alzheimer's disease, Parkinson's disease is the most prevalent
neurodegenerative condition. Because it is fatal and affects a large proportion of the world's …

Sentiment Analysis on Tweets with Deep Learning and Natural Language Processing

SP Panda - … Conference on Machine Learning, Big Data …, 2022 - ieeexplore.ieee.org
Today's social media users are very large, where everyone expresses opinions, comments,
criticisms, and so on. The data provides valuable information to be able to help people or …

Clasificación de artículos académicos sobre la pandemia de COVID-19 a través de la técnica de minería de texto Word Embeddings

BFV Vanegas, MPO Cordero - Polo del Conocimiento: Revista …, 2022 - dialnet.unirioja.es
La enfermedad de COVID-19, se introdujo y extendió rápidamente como una pandemia
global, que necesitaba ser tratada con respuestas inmediatas, oportunas e integradas a los …

[HTML][HTML] ConceptWAS: a high-throughput method for early identification of COVID-19 presenting symptoms

J Zhao, ME Grabowska, VE Kerchberger, JC Smith… - medRxiv, 2020 - ncbi.nlm.nih.gov
Objective: Identifying symptoms highly specific to COVID-19 would improve the clinical and
public health response to infectious outbreaks. Here, we describe a high-throughput …