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 *

165 related articles for article (PubMed ID: 32304429)

  • 1. Machine-learning approaches to substance-abuse research: emerging trends and their implications.
    Barenholtz E; Fitzgerald ND; Hahn WE
    Curr Opin Psychiatry; 2020 Jul; 33(4):334-342. PubMed ID: 32304429
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.
    Jing Y; Hu Z; Fan P; Xue Y; Wang L; Tarter RE; Kirisci L; Wang J; Vanyukov M; Xie XQ
    Drug Alcohol Depend; 2020 Jan; 206():107605. PubMed ID: 31839402
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.
    Li J; Xu Q; Shah N; Mackey TK
    J Med Internet Res; 2019 Jun; 21(6):e13803. PubMed ID: 31199298
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of Machine Learning Approaches in Clinical Epidemiological Research of Diabetes.
    Basu S; Johnson KT; Berkowitz SA
    Curr Diab Rep; 2020 Dec; 20(12):80. PubMed ID: 33270183
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Biosignature Discovery for Substance Use Disorders Using Statistical Learning.
    Baurley JW; McMahan CS; Ervin CM; Pardamean B; Bergen AW
    Trends Mol Med; 2018 Feb; 24(2):221-235. PubMed ID: 29409736
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Substance Use Treatment Failure with Transfer Learning.
    Bailey JD; DeFulio A
    Subst Use Misuse; 2022; 57(13):1982-1987. PubMed ID: 36128946
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
    Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
    PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research.
    Chen CY; Lin WC; Yang HY
    Respir Res; 2020 Feb; 21(1):45. PubMed ID: 32033607
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Analysis of substance use and its outcomes by machine learning: II. Derivation and prediction of the trajectory of substance use severity.
    Hu Z; Jing Y; Xue Y; Fan P; Wang L; Vanyukov M; Kirisci L; Wang J; Tarter RE; Xie XQ
    Drug Alcohol Depend; 2020 Jan; 206():107604. PubMed ID: 31615693
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Trends and Focus of Machine Learning Applications for Health Research.
    Beaulieu-Jones B; Finlayson SG; Chivers C; Chen I; McDermott M; Kandola J; Dalca AV; Beam A; Fiterau M; Naumann T
    JAMA Netw Open; 2019 Oct; 2(10):e1914051. PubMed ID: 31651969
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Potential benefits and limitations of machine learning in the field of eating disorders: current research and future directions.
    Fardouly J; Crosby RD; Sukunesan S
    J Eat Disord; 2022 May; 10(1):66. PubMed ID: 35527306
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive analytics and machine learning in stroke and neurovascular medicine.
    Saber H; Somai M; Rajah GB; Scalzo F; Liebeskind DS
    Neurol Res; 2019 Aug; 41(8):681-690. PubMed ID: 31038007
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere.
    Hu H; Phan N; Geller J; Iezzi S; Vo H; Dou D; Chun SA
    Stud Health Technol Inform; 2019 Aug; 264():163-167. PubMed ID: 31437906
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine learning, statistical learning and the future of biological research in psychiatry.
    Iniesta R; Stahl D; McGuffin P
    Psychol Med; 2016 Sep; 46(12):2455-65. PubMed ID: 27406289
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combining structured and unstructured data for predictive models: a deep learning approach.
    Zhang D; Yin C; Zeng J; Yuan X; Zhang P
    BMC Med Inform Decis Mak; 2020 Oct; 20(1):280. PubMed ID: 33121479
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning in autistic spectrum disorder behavioral research: A review and ways forward.
    Thabtah F
    Inform Health Soc Care; 2019 Sep; 44(3):278-297. PubMed ID: 29436887
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accurately Differentiating Between Patients With COVID-19, Patients With Other Viral Infections, and Healthy Individuals: Multimodal Late Fusion Learning Approach.
    Xu M; Ouyang L; Han L; Sun K; Yu T; Li Q; Tian H; Safarnejad L; Zhang H; Gao Y; Bao FS; Chen Y; Robinson P; Ge Y; Zhu B; Liu J; Chen S
    J Med Internet Res; 2021 Jan; 23(1):e25535. PubMed ID: 33404516
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning in heart failure: ready for prime time.
    Awan SE; Sohel F; Sanfilippo FM; Bennamoun M; Dwivedi G
    Curr Opin Cardiol; 2018 Mar; 33(2):190-195. PubMed ID: 29194052
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review.
    Lee Y; Ragguett RM; Mansur RB; Boutilier JJ; Rosenblat JD; Trevizol A; Brietzke E; Lin K; Pan Z; Subramaniapillai M; Chan TCY; Fus D; Park C; Musial N; Zuckerman H; Chen VC; Ho R; Rong C; McIntyre RS
    J Affect Disord; 2018 Dec; 241():519-532. PubMed ID: 30153635
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.