Results 171 to 180 of about 102,648 (335)

Naive Bayes Classifier based Arabic document categorization

, 2010
Text Categorization aims to assign an electronic document to one or more categories based on its contents. Due to the rapid growth of the number of online Arabic documents, the information libraries and Arabic document corpus, automatic Arabic document ...
Elmougy, S., Ghoneim, A, Hamza, T., Noaman, H.M.   +3 more
core  

Dopamine Transporter Imaging‐Based Radiomics for Predicting 4‐Year Motor Progression (Unified Parkinson's Disease Rating Scale Part III) in Parkinson's Disease

iRADIOLOGY, EarlyView.
Magnetic resonance imaging (MRI)‐guided dopamine transporter (DAT) radiomics combined with machine learning showed promising performance for predicting 4‐year motor progression in Parkinson's disease. Ensemble voting fusion markedly improved discrimination compared with individual base models, with stable predictive features mainly derived from ...
Xiaoxuan Fan, Yanghan Chen, Junfeng Lin, Zenwen Han, Jianqiang Ye, Lili Lin, Hong Zhang, Ang Li, Han Jiang   +8 more
wiley   +1 more source

Predicting Household Food Insecurity Through a Livelihood lens: A Machine Learning Approach in Rural Colombia

Journal of International Development, EarlyView.
ABSTRACT Food insecurity remains a persistent challenge in rural Colombia, driven by structural inequalities, livelihood constraints and exposure to shocks. This paper examined the determinants and predictive drivers of household food insecurity using nationally representative data from the Food and Agriculture Organisation (FAO) Data in Emergencies ...
Adrino Mazenda
wiley   +1 more source

Analisis Akurasi Algoritma Naïve Bayes pada Klasifikasi Dokumen Berkategori

, 2013
Nowadays, the growth and spread of information in online document sare very quick. Thus, it requires a good management of information from a collection of text documents to facilitate the search for relevant information needed.
Yanti, Dewi
core  

Naive Bayes vs. Decision Trees vs. Neural Networks in the Classification of Training Web Pages [PDF]

, 2009
Web classification has been attempted through many different technologies. In this study we concentrate on the comparison of Neural Networks (NN), Naïve Bayes (NB) and Decision Tree (DT) classifiers for the automatic analysis and classification of ...
G. STONE, Roger, Chris J. Hinde (7167710), XHEMALI, Daniela, Roger Stone (1256976), Daniela Xhemali (7168856), J. HINDE, Christopher   +5 more
core  

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Attribute weighted Naive Bayes classifier using a local optimization

, 2014
The Naive Bayes classifier is a popular classification technique for data mining and machine learning. It has been shown to be very effective on a variety of data classification problems.
Musa Mammadov (13085340), S Seifollahi (13562857), John Yearwood (13077672), S Taheri (12633253)   +3 more
core  

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source

Identifikasi citra sidik jari menggunakan metode interpolasi nearest neighbour, principal component analysis, dan naive bayes classifier [PDF]

, 2015
INDONESIA: Teknologi biometrik sidik jari merupakan salah satu teknologi biometrik yang penting dan memiliki keunikan yang berbeda antara manusia satu dengan yang lainnya.
Musfiroh, Musfiroh
core  

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov, Kenan Toprak, Sibel Turedi, İsmail Koyuncu, Zulkif Tanrıverdi, Necip Fazıl Dedeoglu, Halil Fedai, Asuman Bicer, İbrahim Halil Altıparmak, Recep Demirbag, Gencay Sarıısık   +10 more
wiley   +1 more source