AIMC Topic:
Bayes Theorem

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Early Identification of Trauma-induced Coagulopathy: Development and Validation of a Multivariable Risk Prediction Model.

Annals of surgery Dec 1, 2021
OBJECTIVE: The aim of this study was to develop and validate a risk prediction tool for trauma-induced coagulopathy (TIC), to support early therapeutic decision-making.
Adolescent Predictive Value of Tests Bayes Theorem Middle Aged Risk Assessment Wounds and Injuries London Trauma Severity Indices Supervised Machine Learning Blood Coagulation Disorders Prospective Studies Clinical Decision-Making Humans Aged, 80 and over Female Adult Aged Male
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Artificial Neural Networks Predict 30-Day Mortality After Hip Fracture: Insights From Machine Learning.

The Journal of the American Academy of Orthopaedic Surgeons Nov 15, 2021
OBJECTIVES: Accurately stratifying patients in the preoperative period according to mortality risk informs treatment considerations and guides adjustments to bundled reimbursements. We developed and compared three machine learning models to determine...
Humans Neural Networks, Computer Male Logistic Models Bayes Theorem Machine Learning Female Hip Fractures
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Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Blood Nov 11, 2021
Although genomic alterations drive the pathogenesis of acute myeloid leukemia (AML), traditional classifications are largely based on morphology, and prototypic genetic founder lesions define only a small proportion of AML patients. The historical su...
Cytogenetics Gene Expression Regulation, Leukemic Translocation, Genetic Leukemia, Myeloid, Acute Genomics Mutation Neoplasms, Second Primary Bayes Theorem Humans Machine Learning
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Localization of Point-of-Interest Positions on Cardiac Surface for Robotic-Assisted Beating Heart Surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
One of the critical components of robotic-assisted beating heart surgery is precise localization of a point-of-interest (POI) position on cardiac surface, which needs to be tracked by the robotic instruments. This is challenging as the incoming senso...
Heart Cardiac Surgical Procedures Bayes Theorem Robotic Surgical Procedures Robotics
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Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Fast and accurate cancer prognosis stratification models are essential for treatment designs. Large labeled patient data can power advanced deep learning models to obtain precise predictions. However, since fully labeled patient data are hard to acqu...
Humans Neural Networks, Computer Systems Biology Bayes Theorem ROC Curve Colonic Neoplasms
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Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Modeling biological dynamical systems is challenging due to the interdependence of different system components, some of which are not fully understood. To fill existing gaps in our ability to mechanistically model physiological systems, we propose to...
Models, Biological Physics Neural Networks, Computer Algorithms Humans Bayes Theorem
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Gloss perception: Searching for a deep neural network that behaves like humans.

Journal of vision Nov 1, 2021
The visual computations underlying human gloss perception remain poorly understood, and to date there is no image-computable model that reproduces human gloss judgments independent of shape and viewing conditions. Such a model could provide a powerfu...
Perception Visual Perception Neural Networks, Computer Bayes Theorem Humans
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Statistical Inference for Clustering Results Interpretation in Clinical Practice.

Studies in health technology and informatics Oct 27, 2021
The relevance of this study lies in improvement of machine learning models understanding. We present a method for interpreting clustering results and apply it to the case of clinical pathways modeling. This method is based on statistical inference an...
Bayes Theorem Algorithms Artificial Intelligence Cluster Analysis Machine Learning
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RoBoT: a robust Bayesian hypothesis testing method for basket trials.

Biostatistics (Oxford, England) Oct 13, 2021
A basket trial in oncology encompasses multiple "baskets" that simultaneously assess one treatment in multiple cancer types or subtypes. It is well-recognized that hierarchical modeling methods, which adaptively borrow strength across baskets, can im...
Medical Oncology Bayes Theorem Probability Humans Computer Simulation Research Design Robotics
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Regularized Bayesian transfer learning for population-level etiological distributions.

Biostatistics (Oxford, England) Oct 13, 2021
Computer-coded verbal autopsy (CCVA) algorithms predict cause of death from high-dimensional family questionnaire data (verbal autopsy) of a deceased individual, which are then aggregated to generate national and regional estimates of cause-specific ...
Causality Bayes Theorem Machine Learning Humans Algorithms
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