Results 121 to 130 of about 810,976 (388)

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Fast and accurate sentiment classification using an enhanced Naive Bayes model

, 2013
We have explored different methods of improving the accuracy of a Naive Bayes classifier for sentiment analysis. We observed that a combination of methods like negation handling, word n-grams and feature selection by mutual information results in a ...
Arora, Ishan, Bhatia, Arjun, Narayanan, Vivek   +2 more
core   +1 more source

EVALUASI INTERNAL PROGRAM STUDI MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER (NBC)

SAINTEKBU, 2017
ABSTRACTThe Development of department and study program can not be seperated by its internal factors which is influenced number of candidate of students it self direct or indirectly.  In this case we need a method to know the condition in each internal variables that will be evaluated in the department itself.NBC method is kind of simple Bayesian ...
openaire   +2 more sources

ImplementasiAlgoritma Naïve Bayes Classifier (NBC) Untuk Analisis Sentimen Komentar Kebijakan Full Day School

MEANS (Media Informasi Analisa dan Sistem), 2021
Sentiment analysis is an important research topic and is currently being developed. Sentiment analysis is carried out to see the opinion or tendency of a person's opinion on a problem or object, whether it tends to have a negative or positive view. The main purpose of this research is to find out public sentiment towards the Full Day school policy ...
Yarma Agustya Dewi Utami, Volvo Sihombing, Muhammad Halmi Dar   +2 more
openaire   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Patient‐Reported Outcomes with Selpercatinib Among Patients with RET Fusion–Positive Non‐Small Cell Lung Cancer in the Phase I/II LIBRETTO‐001 Trial

The Oncologist, EarlyView., 2021
Abstract Background LIBRETTO‐001 is an ongoing, global, open‐label, phase I/II study of selpercatinib in patients with advanced or metastatic solid tumors. We report interim patient‐reported outcomes in patients with RET fusion–positive non‐small cell lung cancer (NSCLC).
Anna Minchom, Aaron C. Tan, Erminia Massarelli, Vivek Subbiah, Valentina Boni, Bruce Robinson, Lori J. Wirth, Lisa M. Hess, Min‐Hua Jen, Jennifer Kherani, Elizabeth Olek, Caroline E. McCoach   +11 more
wiley   +1 more source

PERBANDINGAN JARINGAN SYARAF TIRUAN DAN NAIVE BAYES DALAM DETEKSI SESEORANG TERKENA PENYAKIT STROKE

Jurnal MIPA, 2014
Tujuan penelitian ini adalah membuat aplikasi Jaringan Syaraf Tiruan dan Naive Bayes untuk memprediksi penyakit stroke dan membandingkan tingkat akuratan dari kedua metode yang digunakan.
I Rohmana, R Arifudin
doaj  

A New Double Weighted Fuzzy Hypergeometric Naive Bayes Network and its Application for User’s Assessment in Virtual Reality Simulators

International Journal of Computational Intelligence Systems
Assessment methods have been used for identify the quality of procedures performed by human beings. In virtual reality simulators, user’s interaction data can be collected and utilized by Single User Assessment Systems (SUAS) to assess the user’s ...
Jodavid Ferreira, Liliane S. Machado, Ronei Marcos de Moraes   +2 more
doaj   +1 more source

Evaluation of the Performance of the Markov Blanket Bayesian Classifier Algorithm [PDF]

, 2002
The Markov Blanket Bayesian Classifier is a recently-proposed algorithm for construction of probabilistic classifiers. This paper presents an empirical comparison of the MBBC algorithm with three other Bayesian classifiers: Naive Bayes, Tree-Augmented ...
Madden, Michael G.
core  

Diagnosa Penderita Penyakit Kanker Payudara Menggunakan Metode Naïve Bayes

INFORMATION MANAGEMENT FOR EDUCATORS AND PROFESSIONALS : Journal of Information Management, 2019
Abstrak: Perkembangan teknologi informasi yang begitu cepat mempengaruhi lini kehidupan manusia. Hal ini dibuktikan dengan diciptakannya sistem berbasis komputer yang dapat mengatasi persoalan disegala lini kehidupan. Salah satu bidang yang saat ini dipengaruhi oleh teknologi informasi adalah bidang kesehatan dan kedokteran.
Kuswara, Heri, Frissetyo, Taufik
openaire   +1 more source