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https://www.bis.org/publ/work148.htm The 2001 US recession: what did recession prediction models tell us? Abstract of BIS Working Papers No. 148 prediction models 2001 us recession tell https://www.techtarget.com/healthtechanalytics/news/366590250/Using-Machine-Learning-to-Enhance-COVID-19-Prediction-Models Using Machine Learning to Enhance COVID-19 Prediction Models | TechTarget Machine learning can incorporate changing real-world data to create more accurate COVID-19 prediction models. machine learning covid 19 prediction models using enhance https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2022.899153/full Frontiers | Development of Two Diagnostic Prediction Models for Leptomeningeal Metastasis in... Objectives: For accurate diagnosis of leptomeningeal metastasis (LM) and avoid unnecessary examinations or lumber puncture (LP), we develop two diagnostic pr... prediction models leptomeningeal metastasis frontiers development two https://www.wolterskluwer.com/en-au/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 ovid clinical wolters kluwer https://www.techtarget.com/healthtechanalytics/news/366591168/Data-Questions-Sepsis-Prediction-Models-Predictive-Analytics Data Questions Sepsis Prediction Models, Predictive Analytics | TechTarget prediction models predictive analytics data questions sepsis https://pmc.ncbi.nlm.nih.gov/articles/PMC11806515/ Instability of the AUROC of Clinical Prediction Models - PMC External validations are essential to assess the performance of a clinical prediction model (CPM) before deployment. Apart from model misspecification, also... of the prediction models instability auroc clinical https://elifesciences.org/reviewed-preprints/98169v1 Derivation and Internal Validation of Prediction Models for Pulmonary Hypertension Risk Assessment... prediction models https://openreview.net/forum?id=2Xv7ryIbi4 Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models | OpenReview prediction models cross dataset evaluation dementia https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1505541/full Frontiers | Risk prediction models for mortality in patients with multimorbidity: a systematic... BackgroundMultimorbidity is a major aging and public health problem that has a significant burden on a global scale. The number of risk prediction models for... risk prediction models https://www.wolterskluwer.com/hu-hu/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 ovid clinical wolters kluwer https://pmc.ncbi.nlm.nih.gov/articles/PMC3603349/ Risk Prediction Models for Hospital Readmission: A Systematic Review - PMC Predicting hospital readmission risk is of great interest to identify which patients would benefit most from care transition interventions, as well as to... risk prediction models for hospital systematic review readmission pmc https://www.mdpi.com/2071-1050/15/18/13653 Creating Rutting Prediction Models through Machine Learning Techniques Utilizing the Long-Term... Over time, roads undergo deterioration caused by various factors such as traffic loads, climate conditions, and material properties. Considering the... machine learning techniques prediction models https://www.techtarget.com/healthtechanalytics/answer/Integrating-Social-Determinants-of-Health-Into-Risk-Prediction-Models Integrating Social Determinants of Health Into Risk Prediction Models | TechTarget A new study uses social determinants of health in risk prediction models to determine the likelihood of patient referral to a social worker and hospital... social determinants of health risk prediction models integrating techtarget https://vu.nl/en/education/professionals/courses-programmes/clinical-prediction-models-and-machine-learning/overview Clinical Prediction Models and Machine Learning General - Vrije Universiteit Amsterdam Learn to develop and validate clinical prediction models using statistics and machine learning to improve diagnoses and treatment decisions. prediction models machine learning vrije universiteit clinical general https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.1081558/full Frontiers | Personalized treatment of brain metastases: Evolving survival prediction models may... Treatment of a limited number of brain metastases (oligometastases) might include complex and sometimes invasive approaches, e.g. neurosurgical resection fol... personalized treatment brain metastases prediction models frontiers https://www.acc.org/latest-in-cardiology/journal-scans/2023/12/22/16/49/development-and-validation-canheart CANHEART Population-Based Lab Prediction Models for ASCVD - American College of Cardiology Elizabeth A. Jackson, MD, FACC prediction models https://www.sciencedaily.com/releases/2016/08/160831085055.htm Data-cleaning tool for building better prediction models | ScienceDaily New software analyzes a user's prediction model to decide which data to clean first, while updating the model as it works. With each pass, users see their... data cleaning building better prediction models tool sciencedaily https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.977103/full Frontiers | Prediction models and associated factors on the fertility behaviors of the floating... The floating population size has grown rapidly in China, and their fertility behaviors affect the management and development of cities. Based on the data set... prediction models https://pmc.ncbi.nlm.nih.gov/articles/PMC12123471/ Intersectional and Marginal Debiasing in Prediction Models for Emergency Admissions - PMC How important is it to explicitly optimize for equity among intersectional, rather than marginal, patient groups when using fair machine learning approaches to... prediction models intersectional marginal debiasing https://www.acc.org/Latest-in-Cardiology/Journal-Scans/2018/03/05/15/07/The-External-Validity-of-Prediction-Models Diagnostic Prediction Models for Coronary Artery Disease - American College of Cardiology Debabrata Mukherjee, MD, FACC coronary artery disease prediction models american college diagnostic https://www.techtarget.com/healthtechanalytics/news/366591032/Low-Risk-Prediction-Models-for-Black-Women-Causes-Health-Disparities Low Risk Prediction Models for Black Women Causes Health Disparities | TechTarget A lack of breast cancer risk prediction models made specifically for Black women highlights health disparities. risk prediction models for black health disparities low https://openreview.net/forum?id=8v0mlyKk5q&referrer=%5Bthe%20profile%20of%20Piotr%20Kicki%5D(%2Fprofile%3Fid%3D~Piotr_Kicki1) Beyond Constant Parameters: Hyper Prediction Models and HyperMPC | OpenReview Model Predictive Control (MPC) is among the most widely adopted and reliable methods for robot control, relying critically on an accurate dynamics model.... prediction models beyond constant parameters hyper https://openreview.net/forum?id=AGJomYSrUG Parallel Token Prediction for Language Models | OpenReview Autoregressive decoding in language models is inherently slow, generating only one token per forward pass. We propose Parallel Token Prediction (PTP), a... for language parallel token prediction models https://pmc.ncbi.nlm.nih.gov/articles/PMC3575184/ Assessing the performance of prediction models: a framework for some traditional and novel measures... The performance of prediction models can be assessed using a variety of different methods and metrics. Traditional measures for binary and survival outcomes... https://www.frontiersin.org/journals/cardiovascular-medicine/articles/10.3389/fcvm.2023.1138234/full Frontiers | Prediction models for cardiovascular disease risk among people living with HIV: A... BackgroundHIV continues to be a major global health issue. The relative risk of cardiovascular disease (CVD) among people living with HIV (PLWH) was 2.16 com... people living with hiv https://openreview.net/forum?id=t04D9bkKUq¬eId=cVQ96mwheg PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction |... *In silico* modeling of transcriptional responses to perturbations is crucial for advancing our understanding of cellular processes and disease mechanisms. We... single cell foundation models scfm benchmarking https://openreview.net/forum?id=IZnrCGF9WI Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey... Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling,... large language models https://tu-dresden.de/bu/verkehr/vis/vpa/die-professur/termine/copy_of_verteidigung-diplomarbeit-towards-reliable-delay-prediction-models-in-public-transport-networks-patterns-propagation-and-influencing-factors Defence diploma thesis: Towards Reliable Delay Prediction Models in Public Transport Networks:... diploma thesis https://openreview.net/forum?id=anzIzGZuLi Making Pre-trained Language Models Great on Tabular Prediction | OpenReview The transferability of deep neural networks (DNNs) has made significant progress in image and language processing. However, due to the heterogeneity among... language models making pre trained great https://openreview.net/forum?id=wZsnZkviro Non-autoregressive Conditional Diffusion Models for Time Series Prediction | OpenReview Recently, denoising diffusion models have led to significant breakthroughs in the generation of images, audio and text. However, it is still an open question... time series prediction diffusion models non autoregressive conditional https://www.minneapolisfed.org/research/staff-reports/a-note-on-wienerkolmogorov-prediction-formulas-for-rational-expectations-models A Note on Wiener-Kolmogorov Prediction Formulas for Rational Expectations Models | Federal Reserve... https://openreview.net/forum?id=TMg1JYoR4u Guaranteed Prediction Sets for Functional Surrogate Models | OpenReview We propose a method for obtaining statistically guaranteed prediction sets for functional machine learning methods: surrogate models which map between function... guaranteed prediction sets functional surrogate https://www.aanda.org/articles/aa/full_html/2023/06/aa45742-22/aa45742-22.html Comparing feature sets and machine-learning models for prediction of solar flares - Topology,... machine learning models https://openreview.net/forum?id=Rx9GMufByc Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning |... language models for time multi patch prediction https://openreview.net/forum?id=un5h0UPHSw&referrer=%5Bthe%20profile%20of%20Shohei%20Shimizu%5D(%2Fprofile%3Fid%3D~Shohei_Shimizu1) Causal models and prediction in cell line perturbation experiments | OpenReview In cell line perturbation experiments, a collection of cells is perturbed with external agents and responses such as protein expression measured. Due to cost... causal models cell line prediction perturbation experiments https://openreview.net/forum?id=pEWAcejiU2&referrer=%5Bthe%20profile%20of%20Baptiste%20Roziere%5D(%2Fprofile%3Fid%3D~Baptiste_Roziere1) Better & Faster Large Language Models via Multi-token Prediction | OpenReview Large language models such as GPT and Llama are trained with a next-token prediction loss. In this work, we suggest that training language models to predict... large language models better faster via multi https://www.prnewswire.com/news-releases/vigilant-biosciences-announces-poster-presentation-on-multivariate-oral-rinse-models-for-prediction-of-head-and-neck-squamous-cell-carcinoma-at-the-6th-international-conference-on-innovative-approaches-in-head-and-neck-oncology-300424214.html Vigilant Biosciences Announces Poster Presentation on Multivariate Oral Rinse Models for Prediction... /PRNewswire/ -- Vigilant Biosciences, Inc., a leading innovator and developer of solutions that aid in the early detection and intervention of cancer, today... poster presentation https://www.amazon.science/blog/customized-amazon-nova-models-improve-molecular-property-prediction-in-drug-discovery Customized Amazon Nova models improve molecular-property prediction in drug discovery - Amazon... Apr 24, 2026 - A single, optimized LLM unifies what previously required multiple models and can serve as a reasoning partner for medical chemists. amazon nova molecular property customized models improve https://www.mdpi.com/2073-4441/15/6/1095 Water Quality Prediction of the Yamuna River in India Using Hybrid Neuro-Fuzzy Models The potential of four different neuro-fuzzy embedded meta-heuristic algorithms, particle swarm optimization, genetic algorithm, harmony search, and... https://pmc.ncbi.nlm.nih.gov/articles/PMC24708/ Models for stochastic climate prediction - PMC There has been a recent burst of activity in the atmosphere/ocean sciences community in utilizing stable linear Langevin stochastic models for the unresolved... climate prediction models stochastic pmc https://www.preprints.org/manuscript/202408.2109 Advanced Stock Price Prediction with xLSTM-Based Models: Improving Long-Term Forecasting[v1] |... Stock price prediction has long been a critical area of research in financial modeling. The inherent complexity of financial markets, characterized by both... stock price prediction https://www.preprints.org/manuscript/202309.1747 The Short Time Prediction of the Dst Index Based on the LSTM and the EMD-LSTM Models[v1] |... The Dst index is the geomagnetic storm index used to measure the energy level of geomagnetic storms, and the prediction of this index is of great significance...