BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

432 related articles for article (PubMed ID: 36827785)

  • 1. An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals.
    Khare SK; Acharya UR
    Comput Biol Med; 2023 Mar; 155():106676. PubMed ID: 36827785
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals.
    Tor HT; Ooi CP; Lim-Ashworth NS; Wei JKE; Jahmunah V; Oh SL; Acharya UR; Fung DSS
    Comput Methods Programs Biomed; 2021 Mar; 200():105941. PubMed ID: 33486340
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Supported Diagnosis of Attention Deficit and Hyperactivity Disorder from EEG Based on Interpretable Kernels for Hidden Markov Models.
    Maya-Piedrahita MC; Herrera-Gomez PM; Berrío-Mesa L; Cárdenas-Peña DA; Orozco-Gutierrez AA
    Int J Neural Syst; 2022 Mar; 32(3):2250008. PubMed ID: 34996341
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Towards high-accuracy classifying attention-deficit/hyperactivity disorders using CNN-LSTM model.
    Wang C; Wang X; Jing X; Yokoi H; Huang W; Zhu M; Chen S; Li G
    J Neural Eng; 2022 Jul; 19(4):. PubMed ID: 35797967
    [No Abstract]   [Full Text] [Related]  

  • 5. EPSPatNet86: eight-pointed star pattern learning network for detection ADHD disorder using EEG signals.
    Tanko D; Barua PD; Dogan S; Tuncer T; Palmer E; Ciaccio EJ; Acharya UR
    Physiol Meas; 2022 Apr; 43(3):. PubMed ID: 35377344
    [No Abstract]   [Full Text] [Related]  

  • 6. EEG characteristics of children with attention-deficit/hyperactivity disorder.
    Chen H; Chen W; Song Y; Sun L; Li X
    Neuroscience; 2019 May; 406():444-456. PubMed ID: 30926547
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning.
    Hasan MM; Watling CN; Larue GS
    Comput Methods Programs Biomed; 2024 Jan; 243():107925. PubMed ID: 38000319
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Classification of attention deficit/hyperactivity disorder based on EEG signals using a EEG-Transformer model
    He Y; Wang X; Yang Z; Xue L; Chen Y; Ji J; Wan F; Mukhopadhyay SC; Men L; Tong MCF; Li G; Chen S
    J Neural Eng; 2023 Sep; 20(5):. PubMed ID: 37683665
    [No Abstract]   [Full Text] [Related]  

  • 9. ADHD-AID: Aiding Tool for Detecting Children's Attention Deficit Hyperactivity Disorder via EEG-Based Multi-Resolution Analysis and Feature Selection.
    Attallah O
    Biomimetics (Basel); 2024 Mar; 9(3):. PubMed ID: 38534873
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection of ADHD from EEG signals using new hybrid decomposition and deep learning techniques.
    Esas MY; Latifoğlu F
    J Neural Eng; 2023 Jun; 20(3):. PubMed ID: 36996836
    [No Abstract]   [Full Text] [Related]  

  • 11. Identification of attention deficit hyperactivity disorder with deep learning model.
    Kasim Ö
    Phys Eng Sci Med; 2023 Sep; 46(3):1081-1090. PubMed ID: 37191853
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram Signals.
    Atila O; Deniz E; Ari A; Sengur A; Chakraborty S; Barua PD; Acharya UR
    Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631569
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An intelligent epilepsy seizure detection system using adaptive mode decomposition of EEG signals.
    Kumar G; Chander S; Almadhor A
    Phys Eng Sci Med; 2022 Mar; 45(1):261-272. PubMed ID: 35167045
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning-Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children.
    Kim WP; Kim HJ; Pack SP; Lim JH; Cho CH; Lee HJ
    JAMA Netw Open; 2023 Mar; 6(3):e233502. PubMed ID: 36930149
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Explainable machine learning to predict long-term mortality in critically ill ventilated patients: a retrospective study in central Taiwan.
    Chan MC; Pai KC; Su SA; Wang MS; Wu CL; Chao WC
    BMC Med Inform Decis Mak; 2022 Mar; 22(1):75. PubMed ID: 35337303
    [TBL] [Abstract][Full Text] [Related]  

  • 16. IHCP: interpretable hepatitis C prediction system based on black-box machine learning models.
    Fan Y; Lu X; Sun G
    BMC Bioinformatics; 2023 Sep; 24(1):333. PubMed ID: 37674125
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptoms.
    Kiiski H; Rueda-Delgado LM; Bennett M; Knight R; Rai L; Roddy D; Grogan K; Bramham J; Kelly C; Whelan R
    Clin Neurophysiol; 2020 Jan; 131(1):330-342. PubMed ID: 31506235
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Electroencephalogram power development of cognitive function at age 7 to 12 years: a comparative study between attention deficit hyperactivity disorder and healthy children].
    Cheng QR; Shen HJ; Tu WJ; Zhang QF; Dong X
    Zhonghua Er Ke Za Zhi; 2016 Dec; 54(12):913-916. PubMed ID: 27938591
    [No Abstract]   [Full Text] [Related]  

  • 19. Neurological state changes indicative of ADHD in children learned via EEG-based LSTM networks.
    Chang Y; Stevenson C; Chen IC; Lin DS; Ko LW
    J Neural Eng; 2022 Feb; 19(1):. PubMed ID: 35081524
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development of prediction models for one-year brain tumour survival using machine learning: a comparison of accuracy and interpretability.
    Charlton CE; Poon MTC; Brennan PM; Fleuriot JD
    Comput Methods Programs Biomed; 2023 May; 233():107482. PubMed ID: 36947980
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 22.