138 related articles for article (PubMed ID: 37056794)
1. Logistic random forest boosting technique for Alzheimer's diagnosis.
Shastry KA; Sattar SA
Int J Inf Technol; 2023; 15(3):1719-1731. PubMed ID: 37056794
[TBL] [Abstract][Full Text] [Related]
2. Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnetic Resonance Imaging.
Khan YF; Kaushik B; Chowdhary CL; Srivastava G
Diagnostics (Basel); 2022 Dec; 12(12):. PubMed ID: 36553199
[TBL] [Abstract][Full Text] [Related]
3. Comparing different algorithms for the course of Alzheimer's disease using machine learning.
Tang X; Liu J
Ann Palliat Med; 2021 Sep; 10(9):9715-9724. PubMed ID: 34628897
[TBL] [Abstract][Full Text] [Related]
4. Addressing the missing data challenge in multi-modal datasets for the diagnosis of Alzheimer's disease.
Aghili M; Tabarestani S; Adjouadi M
J Neurosci Methods; 2022 Jun; 375():109582. PubMed ID: 35346696
[TBL] [Abstract][Full Text] [Related]
5. Explainable AI-based Alzheimer's prediction and management using multimodal data.
Jahan S; Abu Taher K; Kaiser MS; Mahmud M; Rahman MS; Hosen ASMS; Ra IH
PLoS One; 2023; 18(11):e0294253. PubMed ID: 37972072
[TBL] [Abstract][Full Text] [Related]
6. Diagnostic Classification and Biomarker Identification of Alzheimer's Disease with Random Forest Algorithm.
Song M; Jung H; Lee S; Kim D; Ahn M
Brain Sci; 2021 Apr; 11(4):. PubMed ID: 33918453
[TBL] [Abstract][Full Text] [Related]
7. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches.
Ganie SM; Malik MB; Arif T
J Diabetes Metab Disord; 2022 Jun; 21(1):339-352. PubMed ID: 35673418
[TBL] [Abstract][Full Text] [Related]
8. A Stacking Framework for Multi-Classification of Alzheimer's Disease Using Neuroimaging and Clinical Features.
Chen D; Yi F; Qin Y; Zhang J; Ge X; Han H; Cui J; Bai W; Wu Y; Yu H;
J Alzheimers Dis; 2022; 87(4):1627-1636. PubMed ID: 35491782
[TBL] [Abstract][Full Text] [Related]
9. Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.
Dimitriadis SI; Liparas D; Tsolaki MN;
J Neurosci Methods; 2018 May; 302():14-23. PubMed ID: 29269320
[TBL] [Abstract][Full Text] [Related]
10. Comparison of Classification Success Rates of Different Machine Learning Algorithms in the Diagnosis of Breast Cancer.
Ozcan I; Aydin H; Cetinkaya A
Asian Pac J Cancer Prev; 2022 Oct; 23(10):3287-3297. PubMed ID: 36308351
[TBL] [Abstract][Full Text] [Related]
11. Identification of endoplasmic reticulum stress-associated genes and subtypes for prediction of Alzheimer's disease based on interpretable machine learning.
Lai Y; Lin X; Lin C; Lin X; Chen Z; Zhang L
Front Pharmacol; 2022; 13():975774. PubMed ID: 36059957
[No Abstract] [Full Text] [Related]
12. An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods.
Marouf AA; Mottalib MM; Alhajj R; Rokne J; Jafarullah O
Bioengineering (Basel); 2022 Dec; 10(1):. PubMed ID: 36671598
[TBL] [Abstract][Full Text] [Related]
13. Deep Learning and Machine Learning with Grid Search to Predict Later Occurrence of Breast Cancer Metastasis Using Clinical Data.
Jiang X; Xu C
J Clin Med; 2022 Sep; 11(19):. PubMed ID: 36233640
[TBL] [Abstract][Full Text] [Related]
14. Performance Analysis of Conventional Machine Learning Algorithms for Identification of Chronic Kidney Disease in Type 1 Diabetes Mellitus Patients.
Chowdhury NH; Reaz MBI; Haque F; Ahmad S; Ali SHM; A Bakar AA; Bhuiyan MAS
Diagnostics (Basel); 2021 Dec; 11(12):. PubMed ID: 34943504
[TBL] [Abstract][Full Text] [Related]
15. Predicting Mortality in Hospitalized COVID-19 Patients in Zambia: An Application of Machine Learning.
Mulenga C; Kaonga P; Hamoonga R; Mazaba ML; Chabala F; Musonda P
Glob Health Epidemiol Genom; 2023; 2023():8921220. PubMed ID: 37260675
[TBL] [Abstract][Full Text] [Related]
16. Prediction modelling of COVID using machine learning methods from B-cell dataset.
Jain N; Jhunthra S; Garg H; Gupta V; Mohan S; Ahmadian A; Salahshour S; Ferrara M
Results Phys; 2021 Feb; 21():103813. PubMed ID: 33495725
[TBL] [Abstract][Full Text] [Related]
17. A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications.
Mcmurray S; Sodhro AH
Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050529
[TBL] [Abstract][Full Text] [Related]
18. AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19.
Akter S; Das D; Haque RU; Quadery Tonmoy MI; Hasan MR; Mahjabeen S; Ahmed M
Comput Biol Med; 2022 Jul; 146():105657. PubMed ID: 35672170
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning for Alzheimer's Disease Classification using Texture Features.
So JH; Madusanka N; Choi HK; Choi BK; Park HG
Curr Med Imaging Rev; 2019; 15(7):689-698. PubMed ID: 32008517
[TBL] [Abstract][Full Text] [Related]
20. Ensemble of convolutional neural networks and multilayer perceptron for the diagnosis of mild cognitive impairment and Alzheimer's disease.
Li M; Jiang Y; Li X; Yin S; Luo H
Med Phys; 2023 Jan; 50(1):209-225. PubMed ID: 36121183
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]