Agile analytics to support rapid knowledge pipelines

Código QR

Agile analytics to support rapid knowledge pipelines

Guardado en:

Detalles Bibliográficos
Autores principales:	Wade L. Schulz, Joseph C. Kvedar, Harlan M. Krumholz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/4dc2267539484c7f9b638226d49e300f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A randomized trial examining the effect of predictive analytics and tailored interventions on the cost of care
por: Mariana Nikolova-Simons, et al.
Publicado: (2021)

Predictive analytics and tailored interventions improve clinical outcomes in older adults: a randomized controlled trial
por: Sara Bersche Golas, et al.
Publicado: (2021)

Evidence for the effectiveness of digital health
por: Joseph C. Kvedar
Publicado: (2020)

Characteristics and challenges of the clinical pipeline of digital therapeutics
por: Nisarg A. Patel, et al.
Publicado: (2020)

Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling
por: Joshua Hayward, et al.
Publicado: (2020)

Simulated trials: in silico approach adds depth and nuance to the RCT gold-standard
por: Leia Wedlund, et al.
Publicado: (2021)

Innovative new model predicts glucose levels without poking or prodding
por: Leia Wedlund, et al.
Publicado: (2021)

Wearables as a tool for measuring therapeutic adherence in behavioral health
por: Leia Wedlund, et al.
Publicado: (2021)

New machine learning model predicts who may benefit most from COVID-19 vaccination
por: Leia Wedlund, et al.
Publicado: (2021)

Cultural adaptation: a framework for addressing an often-overlooked dimension of digital health accessibility
por: Jayson S. Marwaha, et al.
Publicado: (2021)

Mobile health technology for diverse populations: challenges and opportunities
por: James A. Diao, et al.
Publicado: (2021)

Anticipating and treating dementia: lessons hidden in plain sight
por: Leia Wedlund, et al.
Publicado: (2020)

Beyond performance metrics: modeling outcomes and cost for clinical machine learning
por: James A. Diao, et al.
Publicado: (2021)

The National Institutes of Health funding for clinical research applying machine learning techniques in 2017
por: Amarnath R. Annapureddy, et al.
Publicado: (2020)

Efficient cellular annotation of histopathology slides with real-time AI augmentation
por: James A. Diao, et al.
Publicado: (2021)

Rapid crowdsourced innovation for COVID-19 response and economic growth
por: Khalil B. Ramadi, et al.
Publicado: (2021)

AI-based analysis of CT images for rapid triage of COVID-19 patients
por: Qinmei Xu, et al.
Publicado: (2021)

Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
por: Stephen K Woody, et al.
Publicado: (2020)

Verification, analytical validation, and clinical validation (V3): the foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)
por: Jennifer C. Goldsack, et al.
Publicado: (2020)

Publisher Correction: Application programming interfaces for knowledge transfer and generation in the life sciences and healthcare
por: Stephen K. Woody, et al.
Publicado: (2020)

An overview of clinical decision support systems: benefits, risks, and strategies for success
por: Reed T. Sutton, et al.
Publicado: (2020)

Data Analysis and Computational Methods for Assessing Knowledge of Obesity Risk Factors among Saudi Citizens
por: Alanazi Talal Abdulrahman, et al.
Publicado: (2021)

Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic
por: Emre Sezgin, et al.
Publicado: (2020)

Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine
por: Dae Y. Kang, et al.
Publicado: (2021)

Fine-Tuning Word Embeddings for Hierarchical Representation of Data Using a Corpus and a Knowledge Base for Various Machine Learning Applications
por: Mohammed Alsuhaibani, et al.
Publicado: (2021)

A simulation-based evaluation of machine learning models for clinical decision support: application and analysis using hospital readmission
por: Velibor V. Mišić, et al.
Publicado: (2021)

A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication
por: Negar Farzaneh, et al.
Publicado: (2021)

Author Correction: A randomised controlled feasibility trial of E-health application supported care vs usual care after exacerbation of COPD: the RESCUE trial
por: Mal North, et al.
Publicado: (2020)

A machine learning based two-stage clinical decision support system for predicting patients’ discontinuation from opioid use disorder treatment: retrospective observational study
por: Md Mahmudul Hasan, et al.
Publicado: (2021)

Digitizing clinical trials
por: O. T. Inan, et al.
Publicado: (2020)

Digital envirotyping: quantifying environmental determinants of health and behavior
por: Matthew M. Engelhard, et al.
Publicado: (2020)

Virtual care models for cancer survivorship
por: Quynh Pham, et al.
Publicado: (2020)

Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform
por: Sanket S. Dhruva, et al.
Publicado: (2020)

Do as AI say: susceptibility in deployment of clinical decision-aids
por: Susanne Gaube, et al.
Publicado: (2021)

Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
por: Shih-Cheng Huang, et al.
Publicado: (2020)

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
por: Shih-Cheng Huang, et al.
Publicado: (2020)

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
por: Sercan Ö. Arık, et al.
Publicado: (2021)

Towards nationally curated data archives for clinical radiology image analysis at scale: Learnings from national data collection in response to a pandemic
por: Dominic Cushnan, et al.
Publicado: (2021)

Natural language word embeddings as a glimpse into healthcare language and associated mortality surrounding end of life
por: Wei Gao, et al.
Publicado: (2021)

Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials
por: Maria Cucciniello, et al.
Publicado: (2021)