List of related work using systematic literature review on the healthcare sector
| References | Field of study | Period of analysis |
|---|---|---|
| Bolhasani et al. (2021) | Deep learning applications for IoT in healthcare | 2010–2020 |
| Born et al. (2021) | Artificial intelligence in medical imaging of Covid-19 | 2017–2020 |
| Casey et al. (2021) | Application of natural language processing to radiology reports | 2015–2019 |
| Castelyn, Laranjo, Schreier, and Gallego (2021) | Predictive performance and impact of algorithms in remote monitoring of chronic conditions | 2013–2018 |
| Di Tanna, Wirtz, Burrows, and Globe (2020) | Risk prediction models for adults with heart failure | 2013–2018 |
| Fernandes, Paredes, and Salinet (2020) | Cardiac Arrhythmias detection and classification by machine learning | 2014–2019 |
| Giannakopoulou and Roussaki (2022) | IoT and ML for monitoring, management and diagnosis of Parkinson’s disease | 2012–2021 |
| Kumar et al. (2021) | Artificial intelligence techniques in cancer prediction and diagnosis | 2009–2021 |
| Kumar et al. (2022) | Artificial intelligence in disease diagnosis | 2009–2020 |
| Ortíz-Barrios et al. (2021) | Process improvement approaches for increasing the response of emergency departments against the COVID-19 pandemic | 2019–2021 |
| Pashazadeh and Navimipour (2018) | Extensive data handling mechanisms in healthcare applications | 2006–2016 |
| Saleem et al. (2022) | Machine learning, deep learning and mathematical models to analyze forecasting and epidemiology of COVID-19 | 2020–2021 |
| Secinaro et al. (2021) | Artificial intelligence in healthcare | 1992–2021 |
| Vigo et al. (2022) | Speech- and language-based classification of Alzheimer’s disease | 2015–2020 |
| Von Gerich et al. (2022) | Artificial intelligence-based technologies in nursing | 2010–2021 |
| Xu et al. (2020) | Predicting diabetic retinopathy, nephropathy and neuropathy in patients with type 1 diabetes using machine learning | 2016–2019 |
| This paper | Machine learning in the management of healthcare institutions | 2011–2021 |
| References | Field of study | Period of analysis |
|---|---|---|
| Deep learning applications for IoT in healthcare | 2010–2020 | |
| Artificial intelligence in medical imaging of Covid-19 | 2017–2020 | |
| Application of natural language processing to radiology reports | 2015–2019 | |
| Predictive performance and impact of algorithms in remote monitoring of chronic conditions | 2013–2018 | |
| Risk prediction models for adults with heart failure | 2013–2018 | |
| Cardiac Arrhythmias detection and classification by machine learning | 2014–2019 | |
| IoT and ML for monitoring, management and diagnosis of Parkinson’s disease | 2012–2021 | |
| Artificial intelligence techniques in cancer prediction and diagnosis | 2009–2021 | |
| Artificial intelligence in disease diagnosis | 2009–2020 | |
| Process improvement approaches for increasing the response of emergency departments against the COVID-19 pandemic | 2019–2021 | |
| Extensive data handling mechanisms in healthcare applications | 2006–2016 | |
| Machine learning, deep learning and mathematical models to analyze forecasting and epidemiology of COVID-19 | 2020–2021 | |
| Artificial intelligence in healthcare | 1992–2021 | |
| Speech- and language-based classification of Alzheimer’s disease | 2015–2020 | |
| Artificial intelligence-based technologies in nursing | 2010–2021 | |
| Predicting diabetic retinopathy, nephropathy and neuropathy in patients with type 1 diabetes using machine learning | 2016–2019 | |
| This paper | Machine learning in the management of healthcare institutions | 2011–2021 |
Source(s): Prepared by the Author (2023)
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