This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (352) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1396) Hypertension Prevention and Treatment (222) Mobile Health (mhealth) (2936) Design and Usability of Consumer Health Tech and Home Monitoring Devices (218) Machine Learning (1459) Formative Evaluation of Digital Health Interventions (2407) Artificial Intelligence (1363) AI Applications in Biomedical Engineering (8)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55615, first published .
Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study

Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study

Personalized AI-Driven Real-Time Models to Predict Stress-Induced Blood Pressure Spikes Using Wearable Devices: Proposal for a Prospective Cohort Study

Authors of this article:

Ali Kargarandehkordi1 Author Orcid Image ;   Christopher Slade1 Author Orcid Image ;   Peter Washington1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Serrano D, Luciano F, Anaya B, Ongoren B, Kara A, Molina G, Ramirez B, Sánchez-Guirales S, Simon J, Tomietto G, Rapti C, Ruiz H, Rawat S, Kumar D, Lalatsa A. Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine. Pharmaceutics 2024;16(10):1328 View