On big data, artificial intelligence and smart cities

Z Allam, ZA Dhunny - Cities, 2019 - Elsevier
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …

[HTML][HTML] The Internet of Things: Impact and implications for health care delivery

JT Kelly, KL Campbell, E Gong, P Scuffham - Journal of medical Internet …, 2020 - jmir.org
The Internet of Things (IoT) is a system of wireless, interrelated, and connected digital
devices that can collect, send, and store data over a network without requiring human-to …

The rise of artificial intelligence in healthcare applications

A Bohr, K Memarzadeh - Artificial Intelligence in healthcare, 2020 - Elsevier
Big data and machine learning are having an impact on most aspects of modern life, from
entertainment, commerce, and healthcare. Netflix knows which films and series people …

A survey on deep learning in medicine: Why, how and when?

F Piccialli, V Di Somma, F Giampaolo, S Cuomo… - Information …, 2021 - Elsevier
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

C Xiao, E Choi, J Sun - Journal of the American Medical …, 2018 - academic.oup.com
Objective To conduct a systematic review of deep learning models for electronic health
record (EHR) data, and illustrate various deep learning architectures for analyzing different …

Artificial intelligence in medical practice: the question to the answer?

DD Miller, EW Brown - The American journal of medicine, 2018 - Elsevier
Computer science advances and ultra-fast computing speeds find artificial intelligence (AI)
broadly benefitting modern society—forecasting weather, recognizing faces, detecting fraud …

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats

SL Oh, EYK Ng, R San Tan, UR Acharya - Computers in biology and …, 2018 - Elsevier
Arrhythmia is a cardiac conduction disorder characterized by irregular heartbeats.
Abnormalities in the conduction system can manifest in the electrocardiographic (ECG) …

Bindaas: Blockchain-based deep-learning as-a-service in healthcare 4.0 applications

P Bhattacharya, S Tanwar, U Bodkhe… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Electronic Health Records (EHRs) allows patients to control, share, and manage their health
records among family members, friends, and healthcare service providers using an open …

Machine learning and deep learning predictive models for type 2 diabetes: a systematic review

L Fregoso-Aparicio, J Noguez, L Montesinos… - Diabetology & metabolic …, 2021 - Springer
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …

Deep learning for diabetes: a systematic review

T Zhu, K Li, P Herrero… - IEEE Journal of Biomedical …, 2020 - ieeexplore.ieee.org
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …