Toward precision health: applying artificial intelligence analytics to digital health biometric datasets
Published 2020 View Full Article
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Title
Toward precision health: applying artificial intelligence analytics to digital health biometric datasets
Authors
Keywords
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Journal
Personalized Medicine
Volume 17, Issue 4, Pages 307-316
Publisher
Future Medicine Ltd
Online
2020-06-26
DOI
10.2217/pme-2019-0113
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Note: Only part of the references are listed.- Validation of a wrist-type home nocturnal blood pressure monitor in the sitting and supine position according to the ANSI/AAMI/ISO81060-2:2013 guidelines: Omron HEM-9600T
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- (2019) Conner D. Galloway et al. JAMA Cardiology
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- (2019) Marco V. Perez et al. NEW ENGLAND JOURNAL OF MEDICINE
- Study of continuous blood pressure estimation based on pulse transit time, heart rate and photoplethysmography-derived hemodynamic covariates
- (2018) Jingjie Feng et al. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE
- The Emerging Role of Wearable Technologies in Arrhythmia Detection
- (2018) Christopher C. Cheung et al. CANADIAN JOURNAL OF CARDIOLOGY
- Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients
- (2018) Omer T. Inan et al. Circulation-Heart Failure
- Smartwatch Algorithm for Automated Detection of Atrial Fibrillation
- (2018) Joseph M. Bumgarner et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Artificial Intelligence in Cardiology
- (2018) Kipp W. Johnson et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances
- (2018) Aurore Lyon et al. Journal of the Royal Society Interface
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- (2018) Sanjeev P Bhavnani et al. Personalized Medicine
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- (2018) Monika Simjanoska et al. SENSORS
- A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing
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- Wearable non-invasive epidermal glucose sensors: A review
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- (2018) Christopher Melinosky et al. Frontiers in Neurology
- Monitoring of the central blood pressure waveform via a conformal ultrasonic device
- (2018) Chonghe Wang et al. Nature Biomedical Engineering
- Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram
- (2018) Zachi I. Attia et al. NATURE MEDICINE
- Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
- (2018) Awni Y. Hannun et al. NATURE MEDICINE
- High-performance medicine: the convergence of human and artificial intelligence
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- (2017) Supreeth P. Shashikumar et al. JOURNAL OF ELECTROCARDIOLOGY
- 2017 Roadmap for Innovation—ACC Health Policy Statement on Healthcare Transformation in the Era of Digital Health, Big Data, and Precision Health
- (2017) Sanjeev P. Bhavnani et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Effect of artificial pancreas systems on glycaemic control in patients with type 1 diabetes: a systematic review and meta-analysis of outpatient randomised controlled trials
- (2017) Alanna Weisman et al. Lancet Diabetes & Endocrinology
- Artificial intelligence in healthcare: past, present and future
- (2017) Fei Jiang et al. JOURNAL OF INVESTIGATIVE MEDICINE
- Mobile technology and the digitization of healthcare
- (2016) Sanjeev P. Bhavnani et al. EUROPEAN HEART JOURNAL
- Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes
- (2016) Sai Ho Ling et al. ISA TRANSACTIONS
- EHDViz: clinical dashboard development using open-source technologies
- (2016) Marcus A Badgeley et al. BMJ Open
- Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
- (2016) Riccardo Miotto et al. Scientific Reports
- Remote Monitoring of Implantable Cardioverter-Defibrillators
- (2015) Nirmalatiban Parthiban et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Electrochemical Tattoo Biosensors for Real-Time Noninvasive Lactate Monitoring in Human Perspiration
- (2013) Wenzhao Jia et al. ANALYTICAL CHEMISTRY
- Epidermal tattoo potentiometric sodium sensors with wireless signal transduction for continuous non-invasive sweat monitoring
- (2013) Amay J. Bandodkar et al. BIOSENSORS & BIOELECTRONICS
- Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: a randomised controlled trial
- (2011) William T Abraham et al. LANCET
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