John Daniels

John Daniels

Imperial College London

H-index: 7

Europe-United Kingdom

About John Daniels

John Daniels, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of diabetes technology, machine learning, AI in healthcare, embedded systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

A PROSPECTIVE CLINICAL STUDY ON THE USE OF A NON-INVASIVE WEARABLE DEVICE AND NEURAL NETWORK MODELS FOR PATIENTS WITH DENGUE

IoMT-enabled real-time blood glucose prediction with deep learning and edge computing

Deep learning methods for improving diabetes management tools

A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems

Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI

A Multitask Learning Approach to Personalized Blood Glucose Prediction

Personalised Glucose Prediction via Deep Multitask Networks.

John Daniels Information

University

Position

___

Citations(all)

366

Citations(since 2020)

365

Cited By

80

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

John Daniels Skills & Research Interests

diabetes technology

machine learning

AI in healthcare

embedded systems

Top articles of John Daniels

A PROSPECTIVE CLINICAL STUDY ON THE USE OF A NON-INVASIVE WEARABLE DEVICE AND NEURAL NETWORK MODELS FOR PATIENTS WITH DENGUE

International Journal of Infectious Diseases

2023/5/1

IoMT-enabled real-time blood glucose prediction with deep learning and edge computing

IEEE Internet of Things Journal

2022/1/14

Deep learning methods for improving diabetes management tools

2022

A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems

Sensors

2022/1

Live Demonstration: An IoT Wearable Device for Real-time Blood Glucose Prediction with Edge AI

2021/10/7

A Multitask Learning Approach to Personalized Blood Glucose Prediction

IEEE Journal of Biomedical and Health Informatics

2021/7/27

Personalised Glucose Prediction via Deep Multitask Networks.

KDH@ ECAI

2020/8/29

See List of Professors in John Daniels University(Imperial College London)

Co-Authors

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