These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 35463265)

  • 1. Large-Scale Textual Datasets and Deep Learning for the Prediction of Depressed Symptoms.
    Chakraborty S; Mahdi HF; Ali Al-Abyadh MH; Pant K; Sharma A; Ahmadi F
    Comput Intell Neurosci; 2022; 2022():5731532. PubMed ID: 35463265
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning and Electroencephalogram Signal based Diagnosis of Dipression.
    Khadidos AO; Alyoubi KH; Mahato S; Khadidos AO; Nandan Mohanty S
    Neurosci Lett; 2023 Jul; 809():137313. PubMed ID: 37257682
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection of Depression Severity Using Bengali Social Media Posts on Mental Health: Study Using Natural Language Processing Techniques.
    Kabir MK; Islam M; Kabir ANB; Haque A; Rhaman MK
    JMIR Form Res; 2022 Sep; 6(9):e36118. PubMed ID: 36169989
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Entity recognition from clinical texts via recurrent neural network.
    Liu Z; Yang M; Wang X; Chen Q; Tang B; Wang Z; Xu H
    BMC Med Inform Decis Mak; 2017 Jul; 17(Suppl 2):67. PubMed ID: 28699566
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory.
    Lin YW; Zhou Y; Faghri F; Shaw MJ; Campbell RH
    PLoS One; 2019; 14(7):e0218942. PubMed ID: 31283759
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A textual-based featuring approach for depression detection using machine learning classifiers and social media texts.
    Chiong R; Budhi GS; Dhakal S; Chiong F
    Comput Biol Med; 2021 Aug; 135():104499. PubMed ID: 34174760
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Extracting psychiatric stressors for suicide from social media using deep learning.
    Du J; Zhang Y; Luo J; Jia Y; Wei Q; Tao C; Xu H
    BMC Med Inform Decis Mak; 2018 Jul; 18(Suppl 2):43. PubMed ID: 30066665
    [TBL] [Abstract][Full Text] [Related]  

  • 8. End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis.
    Muzammel M; Salam H; Othmani A
    Comput Methods Programs Biomed; 2021 Nov; 211():106433. PubMed ID: 34614452
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models.
    Aldhyani THH; Alsubari SN; Alshebami AS; Alkahtani H; Ahmed ZAT
    Int J Environ Res Public Health; 2022 Oct; 19(19):. PubMed ID: 36231935
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep neural networks detect suicide risk from textual facebook posts.
    Ophir Y; Tikochinski R; Asterhan CSC; Sisso I; Reichart R
    Sci Rep; 2020 Oct; 10(1):16685. PubMed ID: 33028921
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embedding.
    Wunnava S; Qin X; Kakar T; Sen C; Rundensteiner EA; Kong X
    Drug Saf; 2019 Jan; 42(1):113-122. PubMed ID: 30649736
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Arabic Speech Analysis for Classification and Prediction of Mental Illness due to Depression Using Deep Learning.
    Saba T; Khan AR; Abunadi I; Bahaj SA; Ali H; Alruwaythi M
    Comput Intell Neurosci; 2022; 2022():8622022. PubMed ID: 35669665
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
    Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
    J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic detection and classification of marmoset vocalizations using deep and recurrent neural networks.
    Zhang YJ; Huang JF; Gong N; Ling ZH; Hu Y
    J Acoust Soc Am; 2018 Jul; 144(1):478. PubMed ID: 30075670
    [TBL] [Abstract][Full Text] [Related]  

  • 15. HH model based smart deep brain stimulator to detect, predict and control epilepsy using machine learning algorithm.
    Nambi Narayanan S; Subbian S
    J Neurosci Methods; 2023 Apr; 389():109825. PubMed ID: 36822276
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance.
    Lu H; Ehwerhemuepha L; Rakovski C
    BMC Med Res Methodol; 2022 Jul; 22(1):181. PubMed ID: 35780100
    [TBL] [Abstract][Full Text] [Related]  

  • 17. EEG-based deep learning model for the automatic detection of clinical depression.
    Thoduparambil PP; Dominic A; Varghese SM
    Phys Eng Sci Med; 2020 Dec; 43(4):1349-1360. PubMed ID: 33090373
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM.
    Kour H; Gupta MK
    Multimed Tools Appl; 2022; 81(17):23649-23685. PubMed ID: 35317471
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.
    Ljubic B; Roychoudhury S; Cao XH; Pavlovski M; Obradovic S; Nair R; Glass L; Obradovic Z
    Comput Methods Programs Biomed; 2020 Dec; 197():105765. PubMed ID: 33011665
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Neuronetwork Approach in the Early Diagnosis of Depression.
    Astafeva D; Gayduk A; Tavormina G; Syunyakov T; Chigareva O; Bikbaeva K; Markina E; Vlasov A; Yashikhina A; Zhovnerchuk E; Kolsanov A; Smirnova D
    Psychiatr Danub; 2023 Oct; 35(Suppl 2):77-85. PubMed ID: 37800207
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.