Results 151 to 160 of about 59,339 (255)

Stacked Ensemble Model With Explainable AI for Early Detection of Heart Disease

Analytical Science Advances, Volume 7, Issue 1, June 2026.
ABSTRACT Heart disease (HD) is still one of the most common causes of death around the world. Early detection is very important, but it is often hard to do because the symptoms are not specific and the models are not very clear. We propose a two‐layer stacked ensemble that combines four base learners—Support Vector Machine, K‐Nearest Neighbors, Naïve ...
Nazmun Nahar, Sanjatul Hasan Siam, Joy Bhowmik, Ayesha Nasrin Ripa, Md. Hasan Imam, Haw Jiunn Woo, Hamid Osman, Mayeen Uddin Khandaker, Shams Forruque Ahmed   +8 more
wiley   +1 more source

Multiple Laplacian Regularized RBF Neural Network for Assessing Dry Weight of Patients With End-Stage Renal Disease. [PDF]

Front Physiol, 2021
Guo X, Zhou W, Yu Y, Cai Y, Zhang Y, Du A, Lu Q, Ding Y, Li C.   +8 more
europepmc   +1 more source

On the Optimal Selection of Mel‐Frequency Cepstral Coefficients for Voice Deepfake Detection

Expert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT The continuous evolution of techniques for generating manipulated audio, known as voice deepfakes, and the widespread availability of tools that produce convincing forgeries have created an urgent need for reliable detection methods. This work considers the dimensionality of Mel‐Frequency Cepstral Coefficients (MFCCs) as a core design variable
Sergio A. Falcón‐López, Llanos Tobarra, Antonio Robles‐Gómez, Rafael Pastor‐Vargas   +3 more
wiley   +1 more source

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, Volume 123, Issue 4, Page 805-830, April 2026.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Hybrid Prediction Method for ECG Signals Based on VMD, PSR, and RBF Neural Network. [PDF]

Biomed Res Int, 2021
Huang F, Qin T, Wang L, Wan H.
europepmc   +1 more source

Predicting Prolonged Hospital Length of Stay in Trauma Patients Using Machine Learning Techniques: A Cross‐Sectional Study

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aim Hospitalization due to trauma places a significant financial burden on healthcare systems, patients, and insurers. Predicting the length of stay can support resource management and workflow, ultimately enhancing healthcare interventions.
Maasoumeh Maghsoudi, Azadeh Bashiri, Vahid Rahmanian, Somayyeh Zakerabasali   +3 more
wiley   +1 more source

Predicting COVID‐19 Mortality Risk Among Cardiovascular Disease Patients Using Artificial Intelligence Algorithms: A Retrospective Study on Clinical Data

Health Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aim With the transition of the COVID‐19 outbreak from a pandemic to an endemic state, people are now experiencing COVID‐19. COVID‐19 is associated with severe symptoms in infected populations with chronic diseases, and CVD patients are no exception to this rule.
Raoof Nopour
wiley   +1 more source

RBF neural network based backstepping terminal sliding mode MPPT control technique for PV system. [PDF]

PLoS One, 2021
Khan ZA, Khan L, Ahmad S, Mumtaz S, Jafar M, Khan Q.   +5 more
europepmc   +1 more source

Improving Population Pharmacokinetic Modelling with Artificial Patients using Generative Artificial Intelligence

Pharmacology Research &Perspectives, Volume 14, Issue 2, April 2026.
ABSTRACT In population pharmacokinetics (PopPK), non‐linear mixed effects (NLME) models are used to simultaneously describe a drug's pharmacokinetics (PK) and dynamics (PD) in a patient population using systems of ordinary differential equations. In this field, machine learning is mainly used for data preparation, hypothesis generation, predictive ...
Verena Schöning, Felix Hammann
wiley   +1 more source

Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter. [PDF]

Sensors (Basel), 2021
Shaukat N, Ali A, Javed Iqbal M, Moinuddin M, Otero P.   +4 more
europepmc   +1 more source