prediction models - Robuta Search

https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2012/individualized-prediction-prostate-cancer-using-joint-longitudinal-and-survival-mod

Individualized Prediction in Prostate Cancer Using Joint Longitudinal and Survival Models | School...

Patients with localized prostate cancer are frequently treated with radiation therapy. Following treatment PSA measurements are typically obtained at regular...

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https://sorghumbase.org/paper/24803

Publication - Genomic prediction of cereal crop architectural traits using models informed by gene...

Comparative plant genomics focused on sorghum crop varieties

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https://www.mdpi.com/2072-6694/15/7/2155

Critical Appraisal of Leibovich 2018 and GRANT Models for Prediction of Cancer-Specific Survival in...

Simple SummaryTo date, guideline-recommended prognostic models predicting cancer-control outcomes in chromophobe kidney cancer patients have never been...

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https://avicennaajm.com/index.php/pub/article/view/33

New Horizons in Diabetes Prediction: Comparative Machine Learning Models Using Orange Data Mining:...

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https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2023.1144886/full

Frontiers | Optimal blending of multiple independent prediction models

We derive blending coefficients for the optimal blend of multiple independent prediction models with normal (Gaussian) distribution as well as variance of th...

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https://www.datascienceeconomics.com/post/eta-prediction-at-waze-using-deep-learning-models

ETA prediction at Waze using Deep Learning Models

This blog post by Dr. Roy Sasson maps the Machine Learning algorithms behind Waze's ETA prediction models

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https://icetsimd.com/article/medical-diagnosis-using-explainable-ai-interpretable-models-for-lung-disease-prediction-from-medical-images/

Medical Diagnosis Using Explainable AI: Interpretable Models for Lung Disease Prediction from...

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https://www.mdpi.com/2673-2688/6/4/80

Radiomics-Based Machine Learning Models Improve Acute Pancreatitis Severity Prediction

(1) Acute pancreatitis (AP) is a medical emergency associated with high mortality rates. Early and accurate prognosis assessment during admission is crucial...

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https://www.wolterskluwer.com/de-de/solutions/ovid/clinical-prediction-models-15686

Ovid - Clinical Prediction Models | Wolters Kluwer

The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in...

prediction models wolters kluwer ovid clinical

https://openreview.net/forum?id=ps3aO9MHJv&referrer=%5Bthe%20profile%20of%20Lena%20Stempfle%5D(%2Fprofile%3Fid%3D~Lena_Stempfle1)

Prediction models that learn to avoid missing values | OpenReview

Handling missing values at test time is challenging for machine learning models, especially when aiming for both high accuracy and interpretability....

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https://www.elsevier.es/en-revista-radiologia-english-edition--419-articulo-development-severity-mortality-prediction-models-S2173510722000222

Development of severity and mortality prediction models for covid-19 patients at emergency...

ObjectivesTo develop prognosis prediction models for COVID-19 patients attending an emergency

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https://www.bckwon.com/publication/multiviews/

Multi-view biomedical foundation models for molecule-target and property prediction | Bum Chul...

I am Bum Chul Kwon ('BC'), a researcher of data visualization and visual analytics at the Healthcare Analytics Research Group in IBM Research. My research area...

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https://www.arxiv.org/abs/1911.08791

[1911.08791] Bayesian Hierarchical Models for the Prediction of Volleyball Results

Abstract page for arXiv paper 1911.08791: Bayesian Hierarchical Models for the Prediction of Volleyball Results

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https://www.mdpi.com/2077-0383/12/17/5505

Risk Prediction Models for Peri-Operative Mortality in Patients Undergoing Major Vascular Surgery...

Purpose. The present scoping review aims to describe and analyze available clinical data on the most commonly reported risk prediction indices in vascular...

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https://www.usgs.gov/publications/cybershake-derived-ground-motion-prediction-models-los-angeles-region-application

CyberShake-derived ground-motion prediction models for the Los Angeles region with application to...

Real-time applications such as earthquake early warning (EEW) typically use empirical ground-motion prediction equations (GMPEs) along with event magnitude and...

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https://www.mdpi.com/2071-1050/15/4/3849

Progress in Drainage Pipeline Condition Assessment and Deterioration Prediction Models

The condition of drainage pipes greatly affects the urban environment and human health. However, it is difficult to carry out economical and efficient pipeline...

prediction models progress drainage pipeline condition

https://www.wolterskluwer.com/sv-se/solutions/ovid/clinical-prediction-models-15686

Ovid - Clinical Prediction Models | Wolters Kluwer

The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in...

prediction models wolters kluwer ovid clinical

https://www.unsw.edu.au/science/our-schools/maths/engage-with-us/seminars/2010/improving-asset-price-prediction-when-all-models-are-false

Improving asset price prediction when all models are false

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https://pubmed.ncbi.nlm.nih.gov/41474730/

A Multimodal Drug-Target Affinity Prediction Framework with Pretrained Models and Hierarchical...

Drug-target affinity (DTA) prediction is crucial in drug discovery. It enables researchers to elucidate the complex interaction mechanisms between candidate...

drug target multimodal affinity prediction framework

https://www.jmir.org/2022/3/e26634/tweetations

Journal of Medical Internet Research - Machine Learning Prediction Models for Gestational Diabetes...

Background: Gestational diabetes mellitus (GDM) is a common endocrine metabolic disease, involving a carbohydrate intolerance of variable severity during...

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https://huggingface.co/papers/2505.17505

Paper page - L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

Join the discussion on this paper page

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https://www.econstor.eu/handle/10419/144336

EconStor: Failure prediction models: performance, disagreements, and internal rating systems

EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.

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