BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

110 related articles for article (PubMed ID: 36164769)

  • 1. Automated Detection of Cognitive Distortions in Text Exchanges Between Clinicians and People With Serious Mental Illness.
    Tauscher JS; Lybarger K; Ding X; Chander A; Hudenko WJ; Cohen T; Ben-Zeev D
    Psychiatr Serv; 2023 Apr; 74(4):407-410. PubMed ID: 36164769
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Natural language processing (NLP) to facilitate abstract review in medical research: the application of BioBERT to exploring the 20-year use of NLP in medical research.
    Masoumi S; Amirkhani H; Sadeghian N; Shahraz S
    Syst Rev; 2024 Apr; 13(1):107. PubMed ID: 38622611
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study.
    Davoudi A; Lee NS; Luong T; Delaney T; Asch E; Chaiyachati K; Mowery D
    J Med Internet Res; 2022 Jun; 24(6):e36151. PubMed ID: 35767327
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study.
    Botelle R; Bhavsar V; Kadra-Scalzo G; Mascio A; Williams MV; Roberts A; Velupillai S; Stewart R
    BMJ Open; 2022 Feb; 12(2):e052911. PubMed ID: 35172999
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Text message exchanges between older adults with serious mental illness and older certified peer specialists in a smartphone-supported self-management intervention.
    Fortuna KL; Naslund JA; Aschbrenner KA; Lohman MC; Storm M; Batsis JA; Bartels SJ
    Psychiatr Rehabil J; 2019 Mar; 42(1):57-63. PubMed ID: 30010355
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A comparison of rule-based and machine learning approaches for classifying patient portal messages.
    Cronin RM; Fabbri D; Denny JC; Rosenbloom ST; Jackson GP
    Int J Med Inform; 2017 Sep; 105():110-120. PubMed ID: 28750904
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study.
    Benítez-Andrades JA; Alija-Pérez JM; Vidal ME; Pastor-Vargas R; García-Ordás MT
    JMIR Med Inform; 2022 Feb; 10(2):e34492. PubMed ID: 35200156
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Natural Language Processing for Automated Classification of Qualitative Data From Interviews of Patients With Cancer.
    Fang C; Markuzon N; Patel N; Rueda JD
    Value Health; 2022 Dec; 25(12):1995-2002. PubMed ID: 35840523
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.
    Shen Z; Schutte D; Yi Y; Bompelli A; Yu F; Wang Y; Zhang R
    BMC Med Inform Decis Mak; 2022 Jul; 22(Suppl 1):88. PubMed ID: 35799294
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text.
    Park A; Hartzler AL; Huh J; McDonald DW; Pratt W
    J Med Internet Res; 2015 Aug; 17(8):e212. PubMed ID: 26323337
    [TBL] [Abstract][Full Text] [Related]  

  • 11. From benchmark to bedside: transfer learning from social media to patient-provider text messages for suicide risk prediction.
    Burkhardt HA; Ding X; Kerbrat A; Comtois KA; Cohen T
    J Am Med Inform Assoc; 2023 May; 30(6):1068-1078. PubMed ID: 37043748
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
    Nakamura Y; Hanaoka S; Nomura Y; Nakao T; Miki S; Watadani T; Yoshikawa T; Hayashi N; Abe O
    BMC Med Inform Decis Mak; 2021 Sep; 21(1):262. PubMed ID: 34511100
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The Development and Evaluation of a Text Message Program to Prevent Perceived Insufficient Milk Among First-Time Mothers: Retrospective Analysis of a Randomized Controlled Trial.
    Demirci JR; Suffoletto B; Doman J; Glasser M; Chang JC; Sereika SM; Bogen DL
    JMIR Mhealth Uhealth; 2020 Apr; 8(4):e17328. PubMed ID: 32347815
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Factors Associated With Dropout During Recruitment and Follow-Up Periods of a mHealth-Based Randomized Controlled Trial for Mobile.Net to Encourage Treatment Adherence for People With Serious Mental Health Problems.
    Kannisto KA; Korhonen J; Adams CE; Koivunen MH; Vahlberg T; Välimäki MA
    J Med Internet Res; 2017 Feb; 19(2):e46. PubMed ID: 28223262
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-Label Classification in Patient-Doctor Dialogues With the RoBERTa-WWM-ext + CNN (Robustly Optimized Bidirectional Encoder Representations From Transformers Pretraining Approach With Whole Word Masking Extended Combining a Convolutional Neural Network) Model: Named Entity Study.
    Sun Y; Gao D; Shen X; Li M; Nan J; Zhang W
    JMIR Med Inform; 2022 Apr; 10(4):e35606. PubMed ID: 35451969
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).
    Li J; Lin Y; Zhao P; Liu W; Cai L; Sun J; Zhao L; Yang Z; Song H; Lv H; Wang Z
    BMC Med Inform Decis Mak; 2022 Jul; 22(1):200. PubMed ID: 35907966
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.
    Han S; Zhang RF; Shi L; Richie R; Liu H; Tseng A; Quan W; Ryan N; Brent D; Tsui FR
    J Biomed Inform; 2022 Mar; 127():103984. PubMed ID: 35007754
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Framework for Applying Natural Language Processing in Digital Health Interventions.
    Funk B; Sadeh-Sharvit S; Fitzsimmons-Craft EE; Trockel MT; Monterubio GE; Goel NJ; Balantekin KN; Eichen DM; Flatt RE; Firebaugh ML; Jacobi C; Graham AK; Hoogendoorn M; Wilfley DE; Taylor CB
    J Med Internet Res; 2020 Feb; 22(2):e13855. PubMed ID: 32130118
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.
    Liu H; Zhang Z; Xu Y; Wang N; Huang Y; Yang Z; Jiang R; Chen H
    J Med Internet Res; 2021 Jan; 23(1):e19689. PubMed ID: 33433395
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 6.