Artificial Intelligence in Healthcare and COVID-19
Artificial Intelligence in Healthcare and COVID-19
Esposito, Massimo; Chatterjee, Parag
Elsevier Science & Technology
05/2023
224
Mole
Inglês
9780323905312
15 a 20 dias
Descrição não disponível.
1. Introduction
2. Technological solutions regarding mental health of frontline healthcare workers during COVID-19 pandemic using artifical intelligence
3. Effective algorithms for solving statistical problems posed by the COVID-19 andemic
4. Artifical intelligence to analyse pharmaceutical interventions for COVID-19
5. Covid-19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting
6. Graph convolutional networks for pain detection via telehealth
7. The role of social media in the battle against COVID-19
8. De-identification techniques to preserve privacy in medical record
9. Estimation of COVID-19 fatality associated to different SARS-CoV-2 variants
10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID-19
2. Technological solutions regarding mental health of frontline healthcare workers during COVID-19 pandemic using artifical intelligence
3. Effective algorithms for solving statistical problems posed by the COVID-19 andemic
4. Artifical intelligence to analyse pharmaceutical interventions for COVID-19
5. Covid-19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting
6. Graph convolutional networks for pain detection via telehealth
7. The role of social media in the battle against COVID-19
8. De-identification techniques to preserve privacy in medical record
9. Estimation of COVID-19 fatality associated to different SARS-CoV-2 variants
10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID-19
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Algorithms; Artificial intelligence; CNN; COVID-19; COVID-19 annotated Italian data set; Clinical de-identification; Coronavirus; Deep learning; Drug repositioning; Drug repurposing; Existing drugs; Forecasting; Frontline workers; Graph convolutional networks; Healthcare workers; Machine learning; Medical imaging; Mental health; Misinformation; Mobile application; Named entity recognition; Nonparametric test; Novel coronavirus pneumonia; Pain detection; Pandemic; Predictive analytics; Public health; Segmentation; Sentiment analysis; Social media data; Sub-document level analysis; Telehealth; Time series; Topic modeling; World Health Organization
1. Introduction
2. Technological solutions regarding mental health of frontline healthcare workers during COVID-19 pandemic using artifical intelligence
3. Effective algorithms for solving statistical problems posed by the COVID-19 andemic
4. Artifical intelligence to analyse pharmaceutical interventions for COVID-19
5. Covid-19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting
6. Graph convolutional networks for pain detection via telehealth
7. The role of social media in the battle against COVID-19
8. De-identification techniques to preserve privacy in medical record
9. Estimation of COVID-19 fatality associated to different SARS-CoV-2 variants
10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID-19
2. Technological solutions regarding mental health of frontline healthcare workers during COVID-19 pandemic using artifical intelligence
3. Effective algorithms for solving statistical problems posed by the COVID-19 andemic
4. Artifical intelligence to analyse pharmaceutical interventions for COVID-19
5. Covid-19: artificial intelligence solutions, prediction with country cluster analysis and time series forecasting
6. Graph convolutional networks for pain detection via telehealth
7. The role of social media in the battle against COVID-19
8. De-identification techniques to preserve privacy in medical record
9. Estimation of COVID-19 fatality associated to different SARS-CoV-2 variants
10. Artificial intelligence for segmenting CT chest imaging in the fight of COVID-19
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Algorithms; Artificial intelligence; CNN; COVID-19; COVID-19 annotated Italian data set; Clinical de-identification; Coronavirus; Deep learning; Drug repositioning; Drug repurposing; Existing drugs; Forecasting; Frontline workers; Graph convolutional networks; Healthcare workers; Machine learning; Medical imaging; Mental health; Misinformation; Mobile application; Named entity recognition; Nonparametric test; Novel coronavirus pneumonia; Pain detection; Pandemic; Predictive analytics; Public health; Segmentation; Sentiment analysis; Social media data; Sub-document level analysis; Telehealth; Time series; Topic modeling; World Health Organization