On big data, artificial intelligence and smart cities
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 …
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
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 …
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 …
entertainment, commerce, and healthcare. Netflix knows which films and series people …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
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
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 …
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 …
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
Arrhythmia is a cardiac conduction disorder characterized by irregular heartbeats.
Abnormalities in the conduction system can manifest in the electrocardiographic (ECG) …
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 …
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 …
above certain limits. Over the last years, machine and deep learning techniques have been …
Deep learning for diabetes: a systematic review
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 …
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …