Results 101 to 110 of about 73,492 (280)

Comparison of the naive Bayes classifier and instance based learner in classifying upper gastrointestinal bleeding [PDF]

, 2013
Upper gastrointestinal bleeding is a medical emergence that results in high medical costs and death. Management of this disease requires ascertaining the cause of bleeding. The cause of bleeding is classified into esophageal and gastric causes.
Adam, Mohd. Bakri, Nazziwa Aisha,, Shohaimi, Shamarina   +2 more
core  

Budgeted Learning of Naive-Bayes Classifiers

, 2012
Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003)
Lizotte, Daniel J., Madani, Omid, Greiner, Russell   +2 more
openaire   +2 more sources

Naive Bayes Classifier with Mixtures of Polynomials

Proceedings of the International Conference on Pattern Recognition Applications and Methods, 2015
We present in this paper a methodology for including continuous features in the Naive Bayes classifier by estimating the density function of the continuous variables through the Mixtures of Polynomials model. Three new issues are considered for this model: i) a classification oriented parameter estimation procedure ii) a feature selection ...
Rafael Rumi, J. Luengo
openaire   +1 more source

Statistical Discrimination of Urinary Steroid Biomarkers in the Athlete Biological Passport: A Novel Approach to an Abnormal Steroid Profile Score (ASPS)

Drug Testing and Analysis, EarlyView.
The study developed a single Abnormal Steroid Profile Score (ASPS) to improve interpretation of the Athlete Biological Passport steroid module. Using Bayesian modelling and logistic regression, biomarker patterns from laboratory and doping control data successfully discriminated between doped and clean individuals, with improved classification ...
James G. Hopker, Jim E. Griffin, Matthew N. Fedoruk, Laura A. Lewis   +3 more
wiley   +1 more source

Sistem Pakar Diagnosa Penyakit Pada Kucing Menggunakan Metode Naive Bayes Classifier

Techno.Com, 2018
Tujuan dari penelitian ini adalah membangun sebuah perangkat lunak untuk mendiagnosa penyakit pada kucing yang dilengkapi dengan solusi atau saran terhadap penyakit yang terindikasi, tujuan lain dari penelitian ini adalah untuk mengetahui kinerja metode ...
Cerly Widiyawati, Mohammad Imron
doaj  

K-Nearest Neighbor and Naive Bayes Classifier Algorithm in Determining The Classification of Healthy Card Indonesia Giving to The Poor

Scientific Journal of Informatics, 2018
Health is a human right and one of the elements of welfare that must be realized in the form of giving various health efforts to all the people of Indonesia.
Yofi Firdan Safri, Riza Arifudin, Much Aziz Muslim   +2 more
doaj   +1 more source

Machine Learning–Enhanced Fluorescence Cryptography with NADH‐Responsive Polymer Dots

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study presents a smart anticounterfeiting system using semiconducting polymer dots (Pdots) that exhibit tunable fluorescence responses to NADH. By integrating these dynamic optical signals with machine learning–based decoding, the work establishes a secure and intelligent encryption platform, showing a novel strategy that links chemical sensing ...
Zhengkun Zhan, Mingyue Gong, Zirui Zeng, Hangyu Liu, Xiaoliang Li, Zhuxin Dong, Xiaoju Men, Haobin Chen   +7 more
wiley   +1 more source

Levels of Political Participation Based on Naive Bayes Classifier

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2019
Nowadays, social media is growing rapidly and globally until it finally became an important part of society. During campaign period for the regional head election in Indonesia, the candidates and their supporting parties actively use social media as a ...
Rumaisah Hidayatillah, Mirwan Mirwan, Mohammad Hakam, Aryo Nugroho   +3 more
doaj   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source