Results 51 to 60 of about 131,003 (284)
On the use of Bayesian network classifiers to classify patients with peptic ulcer among upper gastrointestinal bleeding patients [PDF]
, 2012 A Bayesian network classifier is one type of graphical probabilistic models that is capable of representing relationship between variables in a given domain under study.
Adam, Mohd Bakri, Nazziwa Aisha,
core +1 more source
Engineered GM1 Intersects Between Mitochondrial and Synaptic Pathways to Ameliorate ALS Pathology
Advanced Science, EarlyView.Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease driven by genetic and molecular disruptions affecting energy balance, protein homeostasis, and stress responses in nerve cells. Studies using human and rodent models identified convergent defects in mitochondria and synaptic function.
Federica Pilotto +11 more
wiley +1 more source
Journal of Applied Informatics and ComputingStunting remains a significant public health concern influenced by a combination of social, economic, and environmental factors. This study aims to implement the Naïve Bayes algorithm to support the determination of appropriate intervention strategies ...
Wildan Indra Kurniawan, Joko Triloka
doaj +1 more source
Jurnal Tekno Insentif, 2019 Abstrak - Penyakit ginjal kronis (PGK) merupakan masalah kesehatan masyarakat global dengan prevalensi dan insiden gagal ginjal yang meningkat, prognosis yang buruk dan biaya yang tinggi.
Toni Arifin, Daniel Ariesta
doaj +1 more source
Geosciences, 2023 Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased ...
Florimond De Smedt +2 more
doaj +1 more source
Perbandingan Analisis Diskriminan Fisher Dan Naive Bayes Untuk Klasifikasi Risiko Kredit (Studi Kasus Debitur Di Koperasi Jateng Amanah Mandiri Cabang Sukorejo Kendal) [PDF]
, 2016 Credit is a form of money lending to debitors conducted by financial institutions such as cooperatives. In practice there are obstacles in the form of bad credit.
Rahmawati, R. (Rita) +2 more
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Towards learning free naive bayes nearest neighbor-based domain adaptation [PDF]
, 2015 As of today, object categorization algorithms are not able to achieve the level of robustness and generality necessary to work reliably in the real world.
A Khosla +7 more
core +2 more sources
Advanced Science, EarlyView.This study reveals that maternal antibiotic exposure prior to conception disrupts intergenerational gut microbial succession. By enhancing maternal‐offspring microbial transmission, altering microbial developmental trajectories and increasing selective pressures during community assembly, these disturbances lead to persistent gut mucosal immaturity and
Yuzhu Chen +8 more
wiley +1 more source
Perbandingan Algoritma Decision Tree (C4.5) Dan Naïve Bayes Pada Data Mining Untuk Identifikasi Tumbuh Kembang Anak Balita (Studi Kasus Puskesmas Kartasura) [PDF]
, 2015 Puskesmas is one of health agencies located in the sub-district. Health agencies as an effort in support of good service necessary management of working order , neat and thoroughly so that will produce rapid information , proper and accurate.
, Dedi Gunawan S.T., M.Sc. +2 more
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Directional naive Bayes classifiers [PDF]
Pattern Analysis and Applications, 2013 Directional data are ubiquitous in science. These data have some special properties that rule out the use of classical statistics. Therefore, different distributions and statistics, such as the univariate von Mises and the multivariate von Mises–Fisher distributions, should be used to deal with this kind of information.
López Cruz, Pedro Luis +2 more
openaire +3 more sources