418 related articles for article (PubMed ID: 35265303)
1. Machine Learning Technology-Based Heart Disease Detection Models.
Nagavelli U; Samanta D; Chakraborty P
J Healthc Eng; 2022; 2022():7351061. PubMed ID: 35265303
[TBL] [Abstract][Full Text] [Related]
2. Magnetocardiography-Based Ischemic Heart Disease Detection and Localization Using Machine Learning Methods.
Rong Tao ; Shulin Zhang ; Xiao Huang ; Minfang Tao ; Jian Ma ; Shixin Ma ; Chaoxiang Zhang ; Tongxin Zhang ; Fakuan Tang ; Jianping Lu ; Chenxing Shen ; Xiaoming Xie
IEEE Trans Biomed Eng; 2019 Jun; 66(6):1658-1667. PubMed ID: 30369432
[TBL] [Abstract][Full Text] [Related]
3. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Tang J; Wang X; Wan H; Lin C; Shao Z; Chang Y; Wang H; Wu Y; Zhang T; Du Y
BMC Med Inform Decis Mak; 2022 Oct; 22(1):278. PubMed ID: 36284327
[TBL] [Abstract][Full Text] [Related]
4. Application of a developed triple-classification machine learning model for carcinogenic prediction of hazardous organic chemicals to the US, EU, and WHO based on Chinese database.
Hao N; Sun P; Zhao W; Li X
Ecotoxicol Environ Saf; 2023 Apr; 255():114806. PubMed ID: 36948010
[TBL] [Abstract][Full Text] [Related]
5. Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
Abdel-Fattah MA; Othman NA; Goher N
Comput Intell Neurosci; 2022; 2022():9898831. PubMed ID: 35251161
[TBL] [Abstract][Full Text] [Related]
6. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
Khalid H; Khan A; Zahid Khan M; Mehmood G; Shuaib Qureshi M
Comput Intell Neurosci; 2023; 2023():9266889. PubMed ID: 36959840
[TBL] [Abstract][Full Text] [Related]
7. Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea.
Kim J; Mun S; Lee S; Jeong K; Baek Y
BMC Public Health; 2022 Apr; 22(1):664. PubMed ID: 35387629
[TBL] [Abstract][Full Text] [Related]
8. Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms.
Aldhyani THH; Alshebami AS; Alzahrani MY
J Healthc Eng; 2020; 2020():4984967. PubMed ID: 32211144
[TBL] [Abstract][Full Text] [Related]
9. Exploring the use of association rules in random forest for predicting heart disease.
Barry KA; Manzali Y; Flouchi R; Balouki Y; Chelhi K; Elfar M
Comput Methods Biomech Biomed Engin; 2024 Mar; 27(3):338-346. PubMed ID: 36877167
[TBL] [Abstract][Full Text] [Related]
10. Machine learning based congestive heart failure detection using feature importance ranking of multimodal features.
Hussain L; Aziz W; Khan IR; Alkinani MH; Alowibdi JS
Math Biosci Eng; 2020 Nov; 18(1):69-91. PubMed ID: 33525081
[TBL] [Abstract][Full Text] [Related]
11. Efficient Prediction of Missed Clinical Appointment Using Machine Learning.
Qureshi Z; Maqbool A; Mirza A; Iqbal MZ; Afzal F; Kanubala DD; Rana T; Umair MY; Wakeel A; Shah SK
Comput Math Methods Med; 2021; 2021():2376391. PubMed ID: 34721656
[TBL] [Abstract][Full Text] [Related]
12. Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms.
Senan EM; Abunadi I; Jadhav ME; Fati SM
Comput Math Methods Med; 2021; 2021():8500314. PubMed ID: 34966445
[TBL] [Abstract][Full Text] [Related]
13. Clinical Decision Support System for Diabetic Patients by Predicting Type 2 Diabetes Using Machine Learning Algorithms.
Islam R; Sultana A; Tuhin MN; Saikat MSH; Islam MR
J Healthc Eng; 2023; 2023():6992441. PubMed ID: 37287539
[TBL] [Abstract][Full Text] [Related]
14. Improve hot region prediction by analyzing different machine learning algorithms.
Hu J; Zhou L; Li B; Zhang X; Chen N
BMC Bioinformatics; 2021 Oct; 22(Suppl 3):522. PubMed ID: 34696728
[TBL] [Abstract][Full Text] [Related]
15. Cardiac disease prediction using AI algorithms with SelectKBest.
Saeed MH; Hama JI
Med Biol Eng Comput; 2023 Dec; 61(12):3397-3408. PubMed ID: 37679578
[TBL] [Abstract][Full Text] [Related]
16. Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
Alabi RO; Elmusrati M; Sawazaki-Calone I; Kowalski LP; Haglund C; Coletta RD; Mäkitie AA; Salo T; Almangush A; Leivo I
Int J Med Inform; 2020 Apr; 136():104068. PubMed ID: 31923822
[TBL] [Abstract][Full Text] [Related]
17. Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters.
Peng K; Tang Z; Dong L; Sun D
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770274
[TBL] [Abstract][Full Text] [Related]
18. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
[TBL] [Abstract][Full Text] [Related]
19. A hybrid sampling algorithm combining synthetic minority over-sampling technique and edited nearest neighbor for missed abortion diagnosis.
Yang F; Wang K; Sun L; Zhai M; Song J; Wang H
BMC Med Inform Decis Mak; 2022 Dec; 22(1):344. PubMed ID: 36581862
[TBL] [Abstract][Full Text] [Related]
20. AttGRU-HMSI: enhancing heart disease diagnosis using hybrid deep learning approach.
Rao GM; Ramesh D; Sharma V; Sinha A; Hassan MM; Gandomi AH
Sci Rep; 2024 Apr; 14(1):7833. PubMed ID: 38570560
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]