Cargando…

Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework

SIMPLE SUMMARY: Many patient clinical characteristics, such as diagnosis dates, biomarker status, and therapies received, are only available as unstructured text in electronic health records. Obtaining this information for research purposes is a difficult and costly process, requiring trained clinic...

Descripción completa

Detalles Bibliográficos
Autores principales:	Estevez, Melissa, Benedum, Corey M., Jiang, Chengsheng, Cohen, Aaron B., Phadke, Sharang, Sarkar, Somnath, Bozkurt, Selen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9264846/ https://www.ncbi.nlm.nih.gov/pubmed/35804834 http://dx.doi.org/10.3390/cancers14133063

Ejemplares similares

Replication of Real-World Evidence in Oncology Using Electronic Health Record Data Extracted by Machine Learning
por: Benedum, Corey M., et al.
Publicado: (2023)

Approach to machine learning for extraction of real-world data variables from electronic health records
por: Adamson, Blythe, et al.
Publicado: (2023)

Augmenting control arms with real-world data for cancer trials: Hybrid control arm methods and considerations
por: Tan, W. Katherine, et al.
Publicado: (2022)

Paving the way for patient centricity in real-world evidence (RWE): Qualitative interviews to identify considerations for wider implementation of patient-reported outcomes in RWE generation
por: Maruszczyk, Konrad, et al.
Publicado: (2023)

Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage
por: Bozkurt, Selen, et al.
Publicado: (2022)

Real-World Outcomes of Hodgkin Lymphoma: A Multi-Centric Registry From India
por: Bhurani, Dinesh, et al.
Publicado: (2022)

Promise of Real-World Evidence for Patient Centricity in Gulf Cooperation Council Countries: Call to Action
por: Farghaly, Mohamed Nasr Mahmoud Hassan, et al.
Publicado: (2022)

Performance optimizations in a cloud-centric world
por: Still, Andy
Publicado: (2015)

A Liver-Centric Multiscale Modeling Framework for Xenobiotics
por: Sluka, James P., et al.
Publicado: (2016)

Real-world machine learning
por: Brink, Henrik, et al.
Publicado: (2017)

Knowledge centric management: urgent recommendations and a practical and pragmatic framework to become a knowledge centric organisation
por: Heghe, Hans van
Publicado: (2011)

Ethical machines: The human-centric use of artificial intelligence
por: Lepri, Bruno, et al.
Publicado: (2021)

Real-world evidence in achondroplasia: considerations for a standardized data set
por: Alanay, Yasemin, et al.
Publicado: (2023)

Human-Centric Lighting: Foundational Considerations and a Five-Step Design Process
por: Houser, Kevin W., et al.
Publicado: (2021)

Tales of the ER-Golgi Frontier: Drosophila-Centric Considerations on Tango1 Function
por: Feng, Zhi, et al.
Publicado: (2021)

An Integrated Framework to Achieve Interoperability in Person-Centric Health Management
por: Vergari, Fabio, et al.
Publicado: (2011)

Structure motif–centric learning framework for inorganic crystalline systems
por: Banjade, Huta R., et al.
Publicado: (2021)

Affinity scores: An individual-centric fingerprinting framework for neuropsychiatric disorders
por: Wannan, Cassandra M. J., et al.
Publicado: (2022)

Small But Mighty: The Use of Real‐World Evidence to Inform Precision Medicine
por: Miksad, Rebecca A., et al.
Publicado: (2019)

Continuous architecture: sustainable architecture in an agile and cloud-centric world
por: Erder, Murat, et al.
Publicado: (2016)

Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection
por: Olson, Sarah H., et al.
Publicado: (2015)

Evaluation of race/ethnicity-specific survival machine learning models for Hispanic and Black patients with breast cancer
por: Park, Jung In, et al.
Publicado: (2023)

Welfare Through Competence: A Framework for Animal-Centric Technology Design
por: Webber, Sarah, et al.
Publicado: (2022)

Patient-centric soulbound NFT framework for electronic health record (EHR)
por: Tanwar, Namrta, et al.
Publicado: (2023)

The real-world impact of National Institute for Health and Care Excellence's real-world evidence framework
por: Duffield, Stephen, et al.
Publicado: (2023)

Humanize: How People-Centric Organizations Succeed in a Social World
por: Notter, Jamie
Publicado: (2011)

Data-centric approach to improve machine learning models for inorganic materials
por: Bartel, Christopher J.
Publicado: (2021)

Practical machine learning with Python: a problem-solver's guide to building real-world intelligent systems
por: Sarkar, Dipanjan, et al.
Publicado: (2017)

Practical machine learning with Python: a problem-solver's guide to building real-world intelligent systems
por: Sarkar, Dipanjan, et al.
Publicado: (2018)

An Integrated Object Model and Method Framework for Subject-Centric e-Research Applications
por: Lohrey, Jason M., et al.
Publicado: (2009)

Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity
por: Devezer, Berna, et al.
Publicado: (2019)

A Network-Centric Framework for the Evaluation of Mutual Exclusivity Tests on Cancer Drivers
por: Ahmed, Rafsan, et al.
Publicado: (2021)

Real-World Effectiveness and Safety of Dupilumab for the Treatment of Moderate to Severe Atopic Dermatitis in Indian Patients: A Multi Centric Retrospective Study
por: Dhar, Sandipan, et al.
Publicado: (2021)

013 PP: COLLABORATION WITH D/DEAF PEOPLE IN A HEARING CENTRIC WORLD
por: Ferndale, D
Publicado: (2017)

P101: Product dose considerations for real-world hand sanitiser efficacy
por: Hines, J, et al.
Publicado: (2013)

Considerations when evaluating real‐world data quality in the context of fitness for purpose
por: Reynolds, Matthew W., et al.
Publicado: (2020)

USING REAL-WORLD EVIDENCE TO SUPPORT THE FDA REGULATORY APPROVAL: METHODOLOGICAL CONSIDERATIONS
por: Lu, Kevin, et al.
Publicado: (2022)

Injection Adipocytolysis for Body and Jawline Contouring: Real-World Experience and Treatment Considerations
por: Shridharani, Sachin M, et al.
Publicado: (2022)

Machine learning logistics: model management in the real world
por: Dunning, Ted, et al.
Publicado: (2017)

Interpretable machine learning approach for neuron-centric analysis of human cortical cytoarchitecture
por: Štajduhar, Andrija, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_f8uncflm8clvhpguqbv5mi00t1