| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A blockchain-machine learning ecosystem for IoT-Based remote health monitoring of diabetic patients
|
Ratta, Pranav
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|
|
5 |
C |
p.
|
artikel
|
| 2 |
A comparative analysis of boosting algorithms for chronic liver disease prediction
|
Ganie, Shahid Mohammad
|
|
|
5 |
C |
p.
|
artikel
|
| 3 |
A compartmental deterministic epidemiological model with non-linear differential equations for analyzing the co-infection dynamics between COVID-19, HIV, and Monkeypox diseases
|
Odiba Peace, O.
|
|
|
5 |
C |
p.
|
artikel
|
| 4 |
A computational fractional order model for optimal control of wearable healthcare monitoring devices for maternal health
|
Nneka, Onuora Ogechukwu
|
|
|
5 |
C |
p.
|
artikel
|
| 5 |
A deep convolutional neural network for the classification of imbalanced breast cancer dataset
|
Eshun, Robert B.
|
|
|
5 |
C |
p.
|
artikel
|
| 6 |
A descriptive analytics of the COVID-19 pandemic in a middle-income country with forward-looking insights
|
Bansilan, Norvin P.
|
|
|
5 |
C |
p.
|
artikel
|
| 7 |
A deterministic compartment model for analyzing tuberculosis dynamics considering vaccination and reinfection
|
D.A.Ginting, Eka
|
|
|
5 |
C |
p.
|
artikel
|
| 8 |
A deterministic mathematical model for quantifiable prediction of antimalarials limiting the prevalence of multidrug-resistant malaria
|
Onifade, Akindele Akano
|
|
|
5 |
C |
p.
|
artikel
|
| 9 |
A deterministic mathematical model with non-linear least squares method for investigating the transmission dynamics of lumpy skin disease
|
Renald, Edwiga
|
|
|
5 |
C |
p.
|
artikel
|
| 10 |
A flexible analytic wavelet transform and ensemble bagged tree model for electroencephalogram-based meditative mind-wandering detection
|
Dadhich, Ajay
|
|
|
5 |
C |
p.
|
artikel
|
| 11 |
A fractal-fractional order Susceptible-Exposed-Infected-Recovered (SEIR) model with Caputo sense
|
Paul, Subrata
|
|
|
5 |
C |
p.
|
artikel
|
| 12 |
A fusion of machine learning algorithms and traditional statistical forecasting models for analyzing American healthcare expenditure
|
Wang, John
|
|
|
5 |
C |
p.
|
artikel
|
| 13 |
A health information systems architecture study in intellectual disability care: Commonalities and variabilities
|
Tummers, J.
|
|
|
5 |
C |
p.
|
artikel
|
| 14 |
A hierarchical multi-criteria model for analyzing the barriers to Pharma 4.0 implementation in developing countries
|
Zaman, Akib
|
|
|
5 |
C |
p.
|
artikel
|
| 15 |
A hybrid approach with customized machine learning classifiers and multiple feature extractors for enhancing diabetic retinopathy detection
|
Taifa, Intifa Aman
|
|
|
5 |
C |
p.
|
artikel
|
| 16 |
A hybrid Grasshopper optimization algorithm for skin lesion segmentation and melanoma classification using deep learning
|
Thapar, Puneet
|
|
|
5 |
C |
p.
|
artikel
|
| 17 |
A LinkedIn-based analysis of the U.S. dynamic adaptations in healthcare during the COVID-19 pandemic
|
Daglis, Theodoros
|
|
|
5 |
C |
p.
|
artikel
|
| 18 |
A mathematical model for investigating the effect of media awareness programs on the spread of COVID-19 with optimal control
|
Goswami, Naba Kumar
|
|
|
5 |
C |
p.
|
artikel
|
| 19 |
A mathematical tumor growth model for exploring saturated response of M2 macrophages
|
Dehingia, Kaushik
|
|
|
5 |
C |
p.
|
artikel
|
| 20 |
A Medical Cyber-physical system for predicting maternal health in developing countries using machine learning
|
Hossain, Mohammad Mobarak
|
|
|
5 |
C |
p.
|
artikel
|
| 21 |
A multi-objective optimization framework for determining optimal chemotherapy dosing and treatment duration
|
Abdulrashid, Ismail
|
|
|
5 |
C |
p.
|
artikel
|
| 22 |
A multi-population approach to epidemiological modeling of Listeriosis transmission dynamics incorporating food and environmental contamination
|
Tchoumi, S.Y.
|
|
|
5 |
C |
p.
|
artikel
|
| 23 |
A multi-stage optimization model for managing epidemic outbreaks and hospital bed planning in Intensive Care Units
|
Silveira, Ingrid Machado
|
|
|
5 |
C |
p.
|
artikel
|
| 24 |
An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection
|
Mehedi Shamrat, F M Javed
|
|
|
5 |
C |
p.
|
artikel
|
| 25 |
An analytical investigation of body parts more susceptible to aging and composition changes using statistical hypothesis testing
|
Mori, Masaya
|
|
|
5 |
C |
p.
|
artikel
|
| 26 |
An enhanced multi-scale deep convolutional orchard capsule neural network for multi-modal breast cancer detection
|
Parshionikar, Sangeeta
|
|
|
5 |
C |
p.
|
artikel
|
| 27 |
An ensemble-based stage-prediction machine learning approach for classifying fetal disease
|
Dash, Dipti
|
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|
5 |
C |
p.
|
artikel
|
| 28 |
An ensemble classification approach for cervical cancer prediction using behavioral risk factors
|
Ali, Md Shahin
|
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|
5 |
C |
p.
|
artikel
|
| 29 |
An evaluation of machine learning approaches for early diagnosis of autism spectrum disorder
|
Rasul, Rownak Ara
|
|
|
5 |
C |
p.
|
artikel
|
| 30 |
An infectious disease epidemic model with migration and stochastic transmission in deterministic and stochastic environments
|
Salman, Mohammed
|
|
|
5 |
C |
p.
|
artikel
|
| 31 |
An in-silico game theoretic approach for health intervention efficacy assessment
|
Akter, Mansura
|
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|
5 |
C |
p.
|
artikel
|
| 32 |
An integrated data mining algorithms and meta-heuristic technique to predict the readmission risk of diabetic patients
|
Zeinalnezhad, Masoomeh
|
|
|
5 |
C |
p.
|
artikel
|
| 33 |
An integrated deep learning and supervised learning approach for early detection of brain tumor using magnetic resonance imaging
|
Lamba, Kamini
|
|
|
5 |
C |
p.
|
artikel
|
| 34 |
An integrated multi-criteria approach to formulate and assess healthcare referral system strategies in developing countries
|
Bouraima, Mouhamed Bayane
|
|
|
5 |
C |
p.
|
artikel
|
| 35 |
An integrated multiple-criteria decision-making and data envelopment analysis framework for efficiency assessment in sustainable healthcare systems
|
Erdebilli, Bebek
|
|
|
5 |
C |
p.
|
artikel
|
| 36 |
An intuitionistic fuzzy differential equation approach for the lake water and sediment phosphorus model
|
Acharya, Ashish
|
|
|
5 |
C |
p.
|
artikel
|
| 37 |
An investigation of income inequality through autoregressive integrated moving average and regression analysis
|
Wang, John
|
|
|
5 |
C |
p.
|
artikel
|
| 38 |
An investigation of machine learning algorithms and data augmentation techniques for diabetes diagnosis using class imbalanced BRFSS dataset
|
Chowdhury, Mohammad Mihrab
|
|
|
5 |
C |
p.
|
artikel
|
| 39 |
An investigation of multivariate data-driven deep learning models for predicting COVID-19 variants
|
Baihaqi, Akhmad Dimitri
|
|
|
5 |
C |
p.
|
artikel
|
| 40 |
An investigation of the COVID-19 impact on liver cancer using exploratory and predictive analytics
|
Chang, Victor
|
|
|
5 |
C |
p.
|
artikel
|
| 41 |
A non-linear deterministic mathematical model for investigating the population dynamics of COVID-19 in the presence of vaccination
|
Omorogie, Evans O.
|
|
|
5 |
C |
p.
|
artikel
|
| 42 |
A nonlinear mathematical model for exploring the optimal cost-effective therapeutic strategies and within-host viral infections spread dynamics
|
Abidemi, Afeez
|
|
|
5 |
C |
p.
|
artikel
|
| 43 |
A novel convolutional neural network for identification of retinal layers using sliced optical coherence tomography images
|
Tulsani, Akshat
|
|
|
5 |
C |
p.
|
artikel
|
| 44 |
A novel Deep Learning architecture for lung cancer detection and diagnosis from Computed Tomography image analysis
|
Crasta, Lavina Jean
|
|
|
5 |
C |
p.
|
artikel
|
| 45 |
A novel deep learning graph attention network for Alzheimer’s disease image segmentation
|
Hasan, Md Easin
|
|
|
5 |
C |
p.
|
artikel
|
| 46 |
A novel fractional-order stochastic epidemic model to analyze the role of media awareness in the spread of conjunctivitis
|
Mangal, Shiv
|
|
|
5 |
C |
p.
|
artikel
|
| 47 |
A novel machine learning algorithm for finger movement classification from surface electromyogram signals using welch power estimation
|
Sultana, Afroza
|
|
|
5 |
C |
p.
|
artikel
|
| 48 |
A novel machine learning approach for diagnosing diabetes with a self-explainable interface
|
Dharmarathne, Gangani
|
|
|
5 |
C |
p.
|
artikel
|
| 49 |
A predictive analytics model using machine learning algorithms to estimate the risk of shock development among dengue patients
|
Chaw, Jun Kit
|
|
|
5 |
C |
p.
|
artikel
|
| 50 |
A predictive approach for myocardial infarction risk assessment using machine learning and big clinical data
|
Boudali, Imen
|
|
|
5 |
C |
p.
|
artikel
|
| 51 |
A robust neural network for privacy-preserving heart rate estimation in remote healthcare systems
|
Islam, Tasnim Nishat
|
|
|
5 |
C |
p.
|
artikel
|
| 52 |
A space-time Caputo fractional order and modified homotopy perturbation method for evaluating the pathological response of tumor-immune cells
|
Olayiwola, Morufu Oyedunsi
|
|
|
5 |
C |
p.
|
artikel
|
| 53 |
A systematic review of artificial intelligence techniques for oral cancer detection
|
C., Kavyashree
|
|
|
5 |
C |
p.
|
artikel
|
| 54 |
A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
|
Islam, Tauhidul
|
|
|
5 |
C |
p.
|
artikel
|
| 55 |
A triplanar ensemble model for brain tumor segmentation with volumetric multiparametric magnetic resonance images
|
Rajput, Snehal
|
|
|
5 |
C |
p.
|
artikel
|
| 56 |
Autonomic and adaptive cyber-defense algorithms for healthcare applications
|
Shabaz, Mohammad
|
|
|
5 |
C |
p.
|
artikel
|
| 57 |
A vision transformer machine learning model for COVID-19 diagnosis using chest X-ray images
|
Chen, Tianyi
|
|
|
5 |
C |
p.
|
artikel
|
| 58 |
A visual attention-based algorithm for brain tumor detection using an on-center saliency map and a superpixel-based framework
|
Tomar, Nishtha
|
|
|
5 |
C |
p.
|
artikel
|
| 59 |
Decision support framework for home health caregiver allocation using optimally tuned spectral clustering and genetic algorithm
|
Sharifnia, S.M. Ebrahim
|
|
|
5 |
C |
p.
|
artikel
|
| 60 |
Erratum to “A novel hybrid biometric software application for facial recognition considering uncontrollable environmental conditions” [Healthc. Anal. 3 (2023) 100156]
|
Vijaya Kumar, H.R.
|
|
|
5 |
C |
p.
|
artikel
|
| 61 |
Rush regression workbench: An integrated open-source application for regression modeling and analysis in healthcare analytics
|
Locey, Kenneth
|
|
|
5 |
C |
p.
|
artikel
|
| 62 |
Supervised and unsupervised learning models for pharmaceutical drug rating and classification using consumer generated reviews
|
Allenbrand, Corban
|
|
|
5 |
C |
p.
|
artikel
|
| 63 |
Using process mining algorithms for process improvement in healthcare
|
Rabbi, Fazla
|
|
|
5 |
C |
p.
|
artikel
|
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