Results 181 to 190 of about 193,873 (254)

Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods. [PDF]

Sensors (Basel)
Sasu GV, Ciubotaru BI, Goga N, Vasilățeanu A.   +3 more
europepmc   +1 more source

How Crop Forecast Similarity, Government Policies, and Macroeconomic Conditions Affect WASDE Forecast Accuracy

Agribusiness, EarlyView.
ABSTRACT The U.S. Department of Agriculture's (USDA) World Agricultural Supply and Demand Estimates (WASDE) play a central role in how agricultural commodity markets process information about supply, demand, and prices. This study examines how global and domestic shocks, as well as policy interventions, are reflected in the similarity of WASDE ...
Zhining Sun, Rabail Chandio, Ani L. Katchova   +2 more
wiley   +1 more source

Challenge of missing data in observational studies: investigating cross-sectional imputation methods for assessing disease activity in axial spondyloarthritis. [PDF]

RMD Open
Georgiadis S, Pons M, Rasmussen S, Hetland ML, Linde L, di Giuseppe D, Michelsen B, Wallman JK, Olofsson T, Zavada J, Glintborg B, Loft AG, Codreanu C, Melim D, Almeida D, Provan SA, Kvien TK, Rantalaiho V, Peltomaa R, Gudbjornsson B, Palsson O, Rotariu O, MacDonald R, Rotar Z, Pirkmajer KP, Lass K, Iannone F, Ciurea A, Østergaard M, Ørnbjerg LM.   +29 more
europepmc   +1 more source

Exploring Symptom Domains of Postoperative Bowel Dysfunction by Integrating LARS and Wexner Scores: A Longitudinal Factor‐Analytic Study

Annals of Gastroenterological Surgery, EarlyView.
Item‐level factor analysis of the LARS and Wexner scores in 320 patients undergoing sphincter‐preserving rectal resection identified three distinct symptom domains: incontinence, urgency/clustering, and gas control. These domains had different clinical determinants: radiotherapy was associated with greater severity of both incontinence and urgency ...
Yoshiko Matsumoto, Issei Takeshita, Keiichi Shiokawa, Kurumi Sahara, Taro Munechika, Ken Nagata, Hideki Nagano, Hiroyuki Takahashi, Suguru Hasegawa   +8 more
wiley   +1 more source

Design based synthetic imputation methods for domain mean. [PDF]

Sci Rep
Bhushan S, Kumar A, Pokhrel R, Bakr ME, Mekiso GT.   +4 more
europepmc   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Optimal class of memory type imputation methods for time-based surveys using EWMA statistics. [PDF]

Sci Rep
Kumar A, Bhushan S, Alomair AM.
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source