Imagen de Portada

Causal Machine Learning for Surgical Interventions

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tamo, J. Ben, Chouhan, Nishant S., Nnamdi, Micky C., Yuan, Yining, Chivilkar, Shreya S., Shi, Wenqi, Hwang, Steven W., Brenn, B. Randall, Wang, May D.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Applications Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction
por: Yuan, Yining, et al.
Publicado: (2025)

A Diagnostic Tool for Functional Causal Discovery
por: Prakash, Shreya, et al.
Publicado: (2024)

Causal Inference for Continuous Multiple Time Point Interventions
por: Schomaker, Michael, et al.
Publicado: (2023)

Adaptive Penalized Likelihood method for Markov Chains
por: Zhou, Yining, et al.
Publicado: (2024)

Longitudinal Causal Inference with Selective Eligibility
por: Jiang, Zhichao, et al.
Publicado: (2024)

Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
por: May, Paul B., et al.
Publicado: (2025)

Calibrating satellite maps with field data for improved predictions of forest biomass
por: May, Paul B., et al.
Publicado: (2024)

Model Selection for Causal Modeling in Missing Exposure Problems
por: Shi, Yuliang, et al.
Publicado: (2024)

Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
por: Shen, Andy A., et al.
Publicado: (2025)

Replicable Bandits for Digital Health Interventions
por: Zhang, Kelly W., et al.
Publicado: (2024)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
por: Li, Wei, et al.
Publicado: (2024)

Sample Efficient Bayesian Learning of Causal Graphs from Interventions
por: Zhou, Zihan, et al.
Publicado: (2024)

Proximal Causal Inference for Modified Treatment Policies
por: Olivas-Martinez, Antonio, et al.
Publicado: (2025)

The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
por: Drury, Thomas, et al.
Publicado: (2024)

HAL-Based Plug-in Estimation with Pointwise Asymptotic Normality of the Causal Dose-Response Curve
por: Shi, Junming, et al.
Publicado: (2024)

Robust distribution-free tests for the linear model
por: Hilbert, Torey, et al.
Publicado: (2024)

Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
por: Wikle, Nathan B., et al.
Publicado: (2023)

Causal Inference for Circular Data
por: Wu, Kuan-Hsun
Publicado: (2025)

Estimation and Inference for Causal Explainability
por: Zhang, Weihan, et al.
Publicado: (2025)

Causal inference with a functional outcome
por: Ecker, Kreske, et al.
Publicado: (2023)

Causally Sound Priors for Binary Experiments
por: Irons, Nicholas J., et al.
Publicado: (2023)

Causal Inference in Genetic Trio Studies
por: Bates, Stephen, et al.
Publicado: (2020)

Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions
por: Bong, Heejong, et al.
Publicado: (2023)

Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
por: Benz, Luke, et al.
Publicado: (2025)

Causal Inference Using Augmented Epidemic Models
por: Bong, Heejong, et al.
Publicado: (2024)

Causal Networks of Infodemiological Data: Modelling Dermatitis
por: Scutari, Marco, et al.
Publicado: (2025)

Causal inference with dyadic data in randomized experiments
por: Li, Yilin, et al.
Publicado: (2025)

Semiparametric Inference for Causal Effects on Functional Outcomes
por: Nie, Junzhu, et al.
Publicado: (2026)

lmw: Linear Model Weights for Causal Inference
por: Chattopadhyay, Ambarish, et al.
Publicado: (2023)

A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
por: Shen, Andy A., et al.
Publicado: (2024)

Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
por: Blackwell, Matthew, et al.
Publicado: (2024)

Individualized Prediction Bands in Causal Inference with Continuous Treatments
por: Sampson, Max, et al.
Publicado: (2025)

Integrating Explainable Machine Learning and Mixed-Integer Optimization for Personalized Sleep Quality Intervention
por: Anik, Mahfuz Ahmed, et al.
Publicado: (2026)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
por: McGowan, Lucy D'Agostino
Publicado: (2025)

Causal language jumps in clinical practice guidelines for diabetes management
por: Wang, Keling, et al.
Publicado: (2025)

Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
por: Antonelli, Joseph, et al.
Publicado: (2024)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
por: Yao, Minhao, et al.
Publicado: (2025)

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
por: Ortholand, Juliette, et al.
Publicado: (2026)

Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
por: Grossi, Giulio, et al.
Publicado: (2025)

GenAI Powered Dynamic Causal Inference with Unstructured Data
por: Nakamura, Kentaro, et al.
Publicado: (2026)