Results 231 to 240 of about 776,810 (287)

A Comparative Machine Learning Study Identifies Light Gradient Boosting Machine (LightGBM) as the Optimal Model for Unveiling the Environmental Drivers of Yellowfin Tuna (<i>Thunnus albacares</i>) Distribution Using SHapley Additive exPlanations (SHAP) Analysis. [PDF]

Biology (Basel)
Yang L, Zhou W, Zhang C, Tang F.
europepmc   +1 more source

Short‐Term Agricultural Drought Prediction Using Explainable Data‐Driven Models and Quantified Uncertainty

International Journal of Climatology, EarlyView.
This study demonstrates that explainable deep learning models can skilfully predict short‐term agricultural drought using standardized drought indices, capturing hydroclimatic memory and seasonal persistence. The integration of uncertainty quantification and SHAP‐based interpretability reveals the dominant role of antecedent moisture and climate ...
K. Saranya Das, N. R. Chithra, Venkataramana Sridhar   +2 more
wiley   +1 more source

Predicting egg production rate and egg weight of broiler breeders based on machine learning and Shapley additive explanations. [PDF]

Poult Sci
Ji H, Xu Y, Teng G.
europepmc   +1 more source

Machine Learning‐Based Recurrence and Survival Prediction in a Large Institutional Upper Extremity Soft Tissue Sarcoma Cohort

Journal of Surgical Oncology, EarlyView.
ABSTRACT Background and Objectives Upper extremity soft tissue sarcomas (UE STS) present unique management challenges; existing prognostic nomograms were developed from mixed anatomic cohorts. This study develops anatomically specific machine learning (ML) models to predict UE‐STS outcomes and benchmarks them against established tools.
Kameel Khabaz, Nicole J. Newman‐Hung, Ruiwen Ding, Derek Pham, Nicholas J. Jackson, William Hsu, Nicholas M. Bernthal, Lauren E. Wessel   +7 more
wiley   +1 more source

Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive exPlanations. [PDF]

Front Nutr
Hong Y, Chen X, Wang L, Zhang F, Zeng Z, Xie W.   +5 more
europepmc   +1 more source

Joint and Independent Associations of Dietary Antioxidant Intakes With Advanced Stages in Older Patients With Cardiovascular‐Kidney‐Metabolic Syndrome

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study explored the association between the composite dietary antioxidant index (CDAI) and cardiovascular‐kidney‐metabolic (CKM) progression in an older population. Using data from NHANES 2001–2020, we analyzed 4974 adults aged ≥ 60 years with CKM syndrome. The CDAI was calculated from the intake of six dietary antioxidants.
Fu‐Shan Qiu, Jian‐Chao Qi, Mei‐Zhu Lin, Jun‐Hua Ke   +3 more
wiley   +1 more source

A model for predicting academic performance on standardised tests for lagging regions based on machine learning and Shapley additive explanations. [PDF]

Sci Rep
Suaza-Medina M, Peñabaena-Niebles R, Jubiz-Diaz M.   +2 more
europepmc   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai, Jo‐Ching Wang, Wei‐Shiuan Chung, Jui‐Sheng Hsu, Shu‐Yen Lin, Ming‐Feng Hou, Ming‐Chung Chou   +6 more
wiley   +1 more source

Epidemiological exploration of the impact of bluetooth headset usage on thyroid nodules using Shapley additive explanations method. [PDF]

Sci Rep
Zhou N, Qin W, Zhang JJ, Wang Y, Wen JS, Lim YM.   +5 more
europepmc   +1 more source

Effectiveness of bot detection method for MMORPG behavior Using Shapley additive explanations

KSII Transactions on Internet and Information Systems
Dong-young Yoo, Yong-Joon Lee, Hyun-Ho Park, Young-woo Hong   +3 more
openaire   +1 more source