Cargando…

Leveraging Expert Knowledge to Improve Machine-Learned Decision Support Systems

While the use of machine learning methods in clinical decision support has great potential for improving patient care, acquiring standardized, complete, and sufficient training data presents a major challenge for methods relying exclusively on machine learning techniques. Domain experts possess know...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kuusisto, Finn, Dutra, Inês, Elezaby, Mai, Mendonça, Eneida A., Shavlik, Jude, Burnside, Elizabeth S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Medical Informatics Association 2015
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525246/ https://www.ncbi.nlm.nih.gov/pubmed/26306246

Ejemplares similares

Validation of Results from Knowledge Discovery: Mass Density as a Predictor of Breast Cancer
por: Woods, Ryan W., et al.
Publicado: (2009)

Developing a Comprehensive Database Management System for Organization and Evaluation of Mammography Datasets
por: Wu, Yirong, et al.
Publicado: (2014)

15th International Conference on Machine Learning
por: Shavlik, J
Publicado: (1998)

Leveraging explanations in interactive machine learning: An overview
por: Teso, Stefano, et al.
Publicado: (2023)

Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support
por: Gibert, Karina, et al.
Publicado: (2010)

Leveraging Large Language Models for Decision Support in Personalized Oncology
por: Benary, Manuela, et al.
Publicado: (2023)

Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillation
por: Schaudt, Daniel, et al.
Publicado: (2023)

Using expert knowledge to support Endangered Species Act decision‐making for data‐deficient species
por: Fitzgerald, Daniel B., et al.
Publicado: (2021)

Leveraging the Hyperledger Fabric for Enhancing the Efficacy of Clinical Decision Support Systems
por: Gangula, Ramya, et al.
Publicado: (2021)

Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity
por: Sabharwal, Paul, et al.
Publicado: (2022)

Personalized cancer therapy—leveraging a knowledge base for clinical decision-making
por: Dumbrava, Ecaterina Ileana, et al.
Publicado: (2018)

Segmenting computed tomograms for cardiac ablation using machine learning leveraged by domain knowledge encoding
por: Feng, Ruibin, et al.
Publicado: (2023)

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

Group decision-making with Fermatean fuzzy soft expert knowledge
por: Akram, Muhammad, et al.
Publicado: (2022)

Combining expert knowledge and machine-learning to classify herd types in livestock systems
por: Brock, Jonas, et al.
Publicado: (2021)

Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers
por: Haroz, Emily E, et al.
Publicado: (2021)

Correction to: Combining adult with pediatric patient data to develop a clinical decision support tool intended for children: leveraging machine learning to model heterogeneity
por: Sabharwal, Paul, et al.
Publicado: (2022)

Using Decision Trees as an Expert System for Clinical Decision Support for COVID-19
por: Chrimes, Dillon
Publicado: (2023)

Machine Learning and Decision Support in Critical Care
por: Johnson, Alistair E. W., et al.
Publicado: (2016)

Editorial: Machine Learning and Decision Support in Stroke
por: Liebeskind, David S., et al.
Publicado: (2020)

Clinical Decision Support Systems for Pressure Ulcer Management: Systematic Review
por: Araujo, Sabrina Magalhaes, et al.
Publicado: (2020)

Expert-augmented machine learning
por: Gennatas, Efstathios D., et al.
Publicado: (2020)

Leveraging Expert Demonstration Features for Deep Reinforcement Learning in Floor Cleaning Robot Navigation
por: Cimurs, Reinis, et al.
Publicado: (2022)

IRB Process Improvements: A Machine Learning Analysis
por: Shoenbill, Kimberly, et al.
Publicado: (2017)

Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text
por: Bravo, Àlex, et al.
Publicado: (2016)

Predicting Cardiovascular Disease Mortality: Leveraging Machine Learning for Comprehensive Assessment of Health and Nutrition Variables
por: Martin-Morales, Agustin, et al.
Publicado: (2023)

Patient-provider communication while using a clinical decision support tool: explaining satisfaction with shared decision making for mammography screening
por: Liu, Yan, et al.
Publicado: (2022)

Improved preventive care clinical decision-making efficiency: leveraging a point-of-care clinical decision support system
por: Laing, Scott, et al.
Publicado: (2021)

Addressing the Challenge of Assessing Physician-Level Screening Performance: Mammography as an Example
por: Burnside, Elizabeth S., et al.
Publicado: (2014)

Leveraging the utility of pharmacogenomics in psychiatry through clinical decision support: a focus group study
por: Goodspeed, Andrew, et al.
Publicado: (2019)

Leveraging epidemiology as a decision support tool during the COVID-19 epidemic in South Africa
por: Silal, S P, et al.
Publicado: (2022)

A machine-learning expert-supporting system for diagnosis prediction of lymphoid neoplasms using a probabilistic decision-tree algorithm and immunohistochemistry profile database
por: Chong, Yosep, et al.
Publicado: (2020)

Possibilistic Estimation of Distributions to Leverage Sparse Data in Machine Learning
por: Tettamanzi, Andrea G. B., et al.
Publicado: (2020)

Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques
por: Aamir, Sanam, et al.
Publicado: (2022)

Leveraging machine learning to examine engagement with a digital therapeutic
por: Heusser, Andrew C., et al.
Publicado: (2023)

Editorial: Leveraging machine learning for omics-driven biomarker discovery
por: Li, Sheng, et al.
Publicado: (2023)

Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction
por: Song, Yin, et al.
Publicado: (2023)

Classification of expert-level therapeutic decisions for degenerative cervical myelopathy using ensemble machine learning algorithms
por: Park, Dougho, et al.
Publicado: (2022)

Machine learning for diabetes clinical decision support: a review
por: Tuppad, Ashwini, et al.
Publicado: (2022)

Pandemic Forecasting by Machine Learning in a Decision Support Problem
por: Sudakov, V. A., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_i1d6n4sjk0sl4e8d99b8f9r6p3