Results 211 to 220 of about 810,976 (388)

Retracted: Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China. [PDF]

J Healthc Eng, 2023
Healthcare Engineering JO.
europepmc   +1 more source

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

Interdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling, Shian Zhang, Jun Lin, Zhengju Xu, Runcheng Xu, Qian Lv, Kaixiang Zhang, Sheng Liu, Jie Guo, Cheng Hua, Yin Jia, Xiaoyu Xu, Kun Qian, Shanrong Liu   +13 more
wiley   +1 more source

Digital Image-based Classification of Clove Quality using Naïve Bayes Algorithm

Sistemasi: Jurnal Sistem Informasi
At present, clove cultivation is increasingly in demand, especially by farmers because it is easy to maintain and the selling price is high. Researchers conducted observations in Tana Toa Village on how the processing of cloves after harvesting is drying
Dilla Dilla, M. Adnan Nur, Musdalifah Djamaluddin   +2 more
doaj   +1 more source

Exact Learning Augmented Naive Bayes Classifier. [PDF]

Entropy (Basel), 2021
Sugahara S, Ueno M.
europepmc   +1 more source

Impacts of Biostimulants on Nitrous Oxide Emissions and the Soil Microbiome

Journal of Plant Nutrition and Soil Science, EarlyView.
Soil incubation experiment examining the influence of biostimulants on greenhouse gas emissions and the soil microbiome in fertilized soils. ABSTRACT Background Overapplication of nitrogenous fertilizer and enhanced microbial activity in agricultural soils are drivers of increasing greenhouse gas emissions.
Conor Blunt, Sean Storey, Andrea Fuchs, Rainer Melzer, Grace M. Cott   +4 more
wiley   +1 more source

Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The tibial slope is a well‐known risk factor for anterior cruciate ligament (ACL) injury. As machine learning continues to progress, it has become an increasingly explored tool for clinical screening and risk factor analysis. This study aims to develop and validate a prognostic machine learning model to predict the outcome of ACL ...
Cheng‐Hao Kao, Javad Hashemi, James Slauterbeck, Naveen Chandrashekar   +3 more
wiley   +1 more source

Pendekatan Metode Ensemble Learning untuk Prakiraan Cuaca menggunakan Soft Voting Classifier

Journal of Applied Computer Science and Technology
Weather conditions are one of the crucial factors that need attention. Changes in weather conditions significantly impact various activities. Weather condition changes are determined by numerous factors, often occurring within a relatively short period ...
Steven Joses, Donata Yulvida, Siti Rochimah   +2 more
doaj   +1 more source

Naïve Bayes

Encyclopedia of Machine Learning, 2020
Geoffrey I. Webb
semanticscholar   +1 more source

Dynamic Retinal Pathology in Glaucoma Progression Revealed by High‐Resolution Functional Imaging in Vivo

Laser &Photonics Reviews, EarlyView.
In this work, we investigated the dynamic retinal pathology of glaucoma from onset to late stages through longitudinal in vivo high‐resolution imaging in a silicone oil‐induced ocular hypertension (SOHU) glaucoma mouse model. We developed an optimized adaptive optics two‐photon excitation fluorescence microscopy (AO‐TPEFM) technique for morphological ...
Yiming Fu, Pham Binh Minh, Sicong He, Yingzhu He, Zhongya Qin, Ting Xie, Jianan Qu   +6 more
wiley   +1 more source

The Identification and Analysis of the Centers of Geographical Public Opinions in Flood Disasters Based on Improved Naïve Bayes Network. [PDF]

Int J Environ Res Public Health, 2022
Tang H, Xu H, Rui X, Heng X, Song Y.
europepmc   +1 more source