|
[1]
|
Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques
|
|
BioMed Research …,
2023 |
|
|
|
|
[2]
|
The classification of medical and botanical data through majority voting using artificial neural network
|
|
International Journal of …,
2023 |
|
|
|
|
[3]
|
Combining Long Short-Term Memory and Genetic Programming for Monthly Rainfall Downscaling in Southern Thailand's Thale Sap Songkhla River Basin
|
|
Engineered …,
2023 |
|
|
|
|
[4]
|
New horizons Do artificial neural networks love sex? How the combination of artificial neural networks with evolutionary algorithms may help to identify gender …
|
|
Clin Exp Rheumatol,
2023 |
|
|
|
|
[5]
|
Diagnosis of heart disease using improved genetic algorithm-based Naive Bayes classifier
|
|
… Systems, Tools, and …,
2023 |
|
|
|
|
[6]
|
Multimodal machine learning for 3-dimensional characterization of hidden groundwater and geothermal resources
|
|
arXiv preprint arXiv …,
2023 |
|
|
|
|
[7]
|
A simple stacked ensemble machine learning model to predict naturalized catchment hydrology and allocation status
|
|
arXiv preprint arXiv …,
2023 |
|
|
|
|
[8]
|
A Proficient Framework for Coronary Artery Disease Prediction using Logistic Regression
|
|
2023 International Conference …,
2023 |
|
|
|
|
[9]
|
Research Article Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques
|
|
2023 |
|
|
|
|
[10]
|
Multimodal Machine Learning for 3D Characterization of Hidden Groundwater and Geothermal Resources: Case Study, Lāna 'i Hawaii
|
|
PROCEEDINGS, 47th Workshop on Geothermal Reservoir Engineering,
2022 |
|
|
|
|
[11]
|
Analisi dello sguardo e dell'EEG per la diagnosi precoce delle malattie dello spettro autistico
|
|
THESIS,
2022 |
|
|
|
|
[12]
|
Artificial neural networks reveal sex differences in gene methylation, and connections between maternal risk factors and symptom severity in autism spectrum disorder
|
|
…,
2022 |
|
|
|
|
[13]
|
A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
|
|
Moghaddam - Iran Journal of Computer Science,
2022 |
|
|
|
|
[14]
|
Hyperandrogenism and menstrual imbalance are the best predictors of metformin response in PCOS patients
|
|
Reproductive Biology …,
2022 |
|
|
|
|
[15]
|
Classification of heart disease using mfo based neural network on mri images.
|
|
Current Medical Imaging,
2021 |
|
|
|
|
[16]
|
NUTRITIONAL STATUS, ENERGY REQUIREMENTS AND METABOLIC MONITORING IN CRITICALLY ILL CHILDREN: THE NEW PERSPECTIVE OF ARTIFICIAL …
|
|
2021 |
|
|
|
|
[17]
|
Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease
|
|
2021 |
|
|
|
|
[18]
|
Assessment of Effective Monitoring Sites in a Reservoir Watershed by Support Vector Machine Coupled with Multi-Objective Genetic Algorithm for Sediment Flux …
|
|
2021 |
|
|
|
|
[19]
|
Artificial Neural Network Algorithms to Predict Resting Energy Expenditure in Critically Ill Children
|
|
Nutrients,
2021 |
|
|
|
|
[20]
|
Analisi dello sguardo e dell'EEG per la diagnosi precoce delle malattie dello spettro autistico= Gaze and EEG analysis for the early diagnosis of autism spectrum …
|
|
2021 |
|
|
|
|
[21]
|
Using Machine Learning Techniques to Predict RT-PCR Results for COVID-19 Patients
|
|
… IEEE Symposium on …,
2021 |
|
|
|
|
[22]
|
A Novel Approach To Heart Attack Predıctıon Improvement Vıa Extreme Learnıng Machınes Classıfıer Integrated Wıth Data Resamplıng Strategy
|
|
2020 |
|
|
|
|
[23]
|
VERİ YENİDEN ÖRNEKLEME STRATEJİSİ İLE BÜTÜNLEŞTİRİLMİŞ AŞIRI ÖĞRENME MAKİNELERİ SINIFLAYICILARI İLE KALP KRİZİ TAHMİNLERİNİN …
|
|
Journal: Konya Journal of Engineering Sciences,
2020 |
|
|
|
|
[24]
|
Hyperandrogenism and menstrual imbalance are the best predictors of metformin response in PCOS patients: results of an analysis through the artificial neural networks
|
|
SSRN Electronic Journal,
2020 |
|
|
|
|
[25]
|
Predicting secukinumab fast-responder profile in psoriatic patients: advanced application of artificial-neural-networks (ANNs)
|
|
Journal of Drugs in …,
2020 |
|
|
|
|
[26]
|
Use of Machine Learning to Rapidly Predict Positivity to Severe Acute Respiratory Syndrome Coronavirus 2(SARS-COV-2) Using Basic Clinical Data
|
|
2020-05-01]. https …,
2020 |
|
|
|
|
[27]
|
Predicting Secukinumab Fast-Responder Profile in Psoriatic Patients: Advanced Application of Artificial-Neural-Networks (ANNs).
|
|
2020 |
|
|
|
|
[28]
|
A robust method for early diagnosis of autism spectrum disorder from EEG signals based on feature selection and DBSCAN method
|
|
2020 |
|
|
|
|
[29]
|
Use of Machine Learning to Rapidly Predict Positivity to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) Using Basic Clinical Data
|
|
2020 |
|
|
|
|
[30]
|
A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI
|
|
2020 |
|
|
|
|
[31]
|
Prediction of Resting Energy Expenditure in Children: May Artificial Neural Networks Improve Our Accuracy?
|
|
2020 |
|
|
|
|
[32]
|
PAELC: Predictive Analysis by Ensemble Learning and Classification heart disease detection using beat sound
|
|
2020 |
|
|
|
|
[33]
|
Artificial neural networks allow response prediction in squamous cell carcinoma of the scalp treated with radiotherapy
|
|
2020 |
|
|
|
|
[34]
|
Computer aided diagnostic system based on SVM and K harmonic mean based attribute weighting method
|
|
2020 |
|
|
|
|
[35]
|
Data selection in frog chorusing recognition with acoustic indices
|
|
2020 |
|
|
|
|
[36]
|
Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with …
|
|
2020 |
|
|
|
|
[37]
|
A novel approach to heart attack prediction improvement via extreme learning machines classifier integrated with data resampling strategy
|
|
Konya Mühendislik Bilimleri Dergisi,
2020 |
|
|
|
|
[38]
|
Comparison of four learning-based methods for predicting groundwater redox status
|
|
2019 |
|
|
|
|
[39]
|
The “MS-ROM/IFAST” Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric …
|
|
2019 |
|
|
|
|
[40]
|
A K-means Interval Type-2 Fuzzy Neural Network for Medical Diagnosis
|
|
2019 |
|
|
|
|
[41]
|
EEG-based processing and classification methodologies for Autism Spectrum Disorder: A Review
|
|
2019 |
|
|
|
|
[42]
|
The ANNS approach to DEM reconstruction
|
|
Computational Intelligence,
2018 |
|
|
|
|
[43]
|
Cuckoo inspired algorithms for feature selection in heart disease prediction
|
|
2018 |
|
|
|
|
[44]
|
A hybrid classification system for heart disease diagnosis based on the RFRS method
|
|
Computational and Mathematical Methods in Medicine,
2017 |
|
|
|
|
[45]
|
Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study
|
|
Computer Methods and Programs in Biomedicine,
2017 |
|
|
|
|
[46]
|
Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networks
|
|
2017 |
|
|
|
|
[47]
|
Relationship between Effective Application of Machine Learning and Malware Detection: A Quantitative Study
|
|
ProQuest Dissertations Publishing,
2016 |
|
|
|
|
[48]
|
Complex diseases SNP selection and classification by hybrid Association Rule Mining and Artificial Neural Network—based Evolutionary Algorithms
|
|
Engineering Applications of Artificial Intelligence,
2016 |
|
|
|
|
[49]
|
Pattern Recognition for Flank Eruption Forecasting: An Application at Mount Etna Volcano (Sicily, Italy)
|
|
2016 |
|
|
|
|
[50]
|
上市公司财务预警的 T 逻辑回归模型
|
|
井冈山大学学报: 自然科学版,
2015 |
|
|
|
|
[51]
|
A Global Immune Deficit in Alzheimer's Disease and Mild Cognitive Impairment Disclosed by a Novel Data Mining Process
|
|
Journal of Alzheimer's Disease,
2015 |
|
|
|
|
[52]
|
Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural networks
|
|
Neuropsychiatric disease and treatment,
2015 |
|
|
|
|
[53]
|
Artificial Adaptive Systems to predict the magnitude of earthquakes.
|
|
Bollettino di Geofisica Teorica ed Applicata,
2015 |
|
|
|
|
[54]
|
Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound
|
|
Ultrasonics,
2015 |
|
|
|
|
[55]
|
An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features
|
|
Artificial intelligence in medicine,
2015 |
|
|
|
|
[56]
|
Pregnancy risk factors in autism: a pilot study with artificial neural networks
|
|
Pediatric research,
2015 |
|
|
|
|
[57]
|
Artificial Adaptive Systems to predict the magnitude of earthquakes
|
|
2015 |
|
|
|
|
[58]
|
A New Risk Chart for Acute Myocardial Infarction by a Innovative Algoritm
|
|
2015 |
|
|
|
|
[59]
|
Application of Data Fusion and Knowledge Extraction in Hydrogeology
|
|
2015 |
|
|
|
|
[60]
|
A New Risk Chart for Acute Myocardial Infarction by a Innovative Algoritm.
|
|
2015 |
|
|
|
|
[61]
|
Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural …
|
|
Neuropsychiatric disease and treatment,
2015 |
|
|
|
|
[62]
|
K-CM: A new artificial neural network. Application to supervised pattern recognition
|
|
Chemometrics and Intelligent Laboratory Systems,
2014 |
|
|
|
|
[63]
|
Evaluating Ground-Water Quality Using Artificial Adaptive Systems
|
|
2014 |
|
|
|
|
[64]
|
Application of artificial neural networks to investigate one-carbon metabolism in Alzheimer's disease and healthy matched individuals
|
|
PloS one,
2013 |
|
|
|
|
[65]
|
Logic and Semantics of Computational Models for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems
|
|
SECOA FP7 Research Project,
2013 |
|
|
|
|
[66]
|
Appendix 1 Training with Input Selection and Testing (TWIST)
|
|
2013 |
|
|
|
|
[67]
|
for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems.
|
|
2013 |
|
|
|
|
[68]
|
TWIST algorithm and K-CM Neural Networks applied to urinary metabolic profiling: an optimal strategy for pattern classification
|
|
2013 |
|
|
|
|
[69]
|
. Logic and Semantics of Computational Models for the Analysis of Complex Phenomena. Analytical Archaeology of Artificial Adaptive Systems
|
|
2013 |
|
|
|
|
[70]
|
Prediction of autism from pregnancy risk factors with artificial neural networks: secondary analysis of a case-control study.
|
|
|
|
|
|