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Best matches for "machine learning":

Machine Learning for Medical Imaging. Erickson BJ et al. Radiographics. (2017)

Implementing Machine Learning in Radiology Practice and Research. Kohli M et al. AJR Am J Roentgenol. (2017)

Machine learning: novel bioinformatics approaches for combating antimicrobial resistance. Macesic N et al. Curr Opin Infect Dis. (2017)

Search results

Items: 1 to 20 of 26204

1.

Machine learning in NQR TNT express detection system.

Nevzorov A, Orlov A, Stankevich D.

J Magn Reson. 2019 Sep 13;308:106596. doi: 10.1016/j.jmr.2019.106596. [Epub ahead of print]

PMID:
31541932
2.

Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks.

Gligic L, Kormilitzin A, Goldberg P, Nevado-Holgado A.

Neural Netw. 2019 Sep 6;121:132-139. doi: 10.1016/j.neunet.2019.08.032. [Epub ahead of print]

PMID:
31541881
3.

Automated active fault detection in fouled dissolved oxygen sensors.

Samuelsson O, Zambrano J, Björk A, Carlsson B.

Water Res. 2019 Sep 3;166:115029. doi: 10.1016/j.watres.2019.115029. [Epub ahead of print]

PMID:
31541793
4.

Using machine learning to estimate survival curves for patients receiving an increased risk for disease transmission heart, liver, or lung versus waiting for a standard organ.

Mark E, Goldsman D, Keskinocak P, Sokol J.

Transpl Infect Dis. 2019 Sep 21:e13181. doi: 10.1111/tid.13181. [Epub ahead of print]

PMID:
31541522
5.

Machine learning for comprehensive forecasting of Alzheimer's Disease progression.

Fisher CK, Smith AM, Walsh JR; Coalition Against Major Diseases; Abbott, Alliance for Aging Research, Alzheimer’s Association, Alzheimer’s Foundation of America, AstraZeneca Pharmaceuticals LP, Bristol-Myers Squibb Company, Critical Path Institute, CHDI Foundation, Inc., Eli Lilly and Company, F. Hoffmann-La Roche Ltd, Forest Research Institute, Genentech, Inc., GlaxoSmithKline, Johnson & Johnson, National Health Council, Novartis Pharmaceuticals Corporation, Parkinson’s Action Network, Parkinson’s Disease Foundation, Pfizer, Inc., sanofi-aventis. Collaborating Organizations: Clinical Data Interchange Standards Consortium (CDISC), Ephibian, Metrum Institute.

Sci Rep. 2019 Sep 20;9(1):13622. doi: 10.1038/s41598-019-49656-2.

PMID:
31541187
6.

An epigenetic biomarker for adult high-functioning autism spectrum disorder.

Kimura R, Nakata M, Funabiki Y, Suzuki S, Awaya T, Murai T, Hagiwara M.

Sci Rep. 2019 Sep 20;9(1):13662. doi: 10.1038/s41598-019-50250-9.

PMID:
31541176
7.

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity.

Rohani N, Eslahchi C.

Sci Rep. 2019 Sep 20;9(1):13645. doi: 10.1038/s41598-019-50121-3.

PMID:
31541145
8.

Key Topics in Molecular Docking for Drug Design.

Torres PHM, Sodero ACR, Jofily P, Silva-Jr FP.

Int J Mol Sci. 2019 Sep 15;20(18). pii: E4574. doi: 10.3390/ijms20184574. Review.

PMID:
31540192
9.

Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning.

Halicek M, Dormer JD, Little JV, Chen AY, Myers L, Sumer BD, Fei B.

Cancers (Basel). 2019 Sep 14;11(9). pii: E1367. doi: 10.3390/cancers11091367.

PMID:
31540063
10.

Early Diagnosis of Gestational Diabetes Mellitus Using Circulating MicroRNAs.

Yoffe L, Polsky A, Gilam A, Raff C, Mecacci F, Ognibene A, Crispi F, GratacÓs E, Kanety H, Mazaki-Tovi S, Shomron N, Hod M.

Eur J Endocrinol. 2019 Sep 1. pii: EJE-19-0206.R2. doi: 10.1530/EJE-19-0206. [Epub ahead of print]

PMID:
31539877
11.

SEVERITAS: An externally validated mortality prediction for critically ill patients in low and middle-income countries.

Deliberato RO, Escudero GG, Bulgarelli L, Neto AS, Ko SQ, Campos NS, Saat B, Amaro E Júnior, Lopes FS, Johnson AE.

Int J Med Inform. 2019 Sep 4;131:103959. doi: 10.1016/j.ijmedinf.2019.103959. [Epub ahead of print]

PMID:
31539837
12.

Machine learning algorithms can classify outdoor terrain types during running using accelerometry data.

Dixon PC, Schütte KH, Vanwanseele B, Jacobs JV, Dennerlein JT, Schiffman JM, Fournier PA, Hu B.

Gait Posture. 2019 Sep 5;74:176-181. doi: 10.1016/j.gaitpost.2019.09.005. [Epub ahead of print]

PMID:
31539798
13.

What do patients learn about psychotropic medications on the web? A natural language processing study.

Hart KL, Perlis RH, McCoy TH Jr.

J Affect Disord. 2019 Sep 10;260:366-371. doi: 10.1016/j.jad.2019.09.043. [Epub ahead of print]

PMID:
31539672
14.

Rapid BOD assessment with a microbial array coupled to a neural machine learning system.

Jouanneau S, Grangé E, Durand MJ, Thouand G.

Water Res. 2019 Sep 11;166:115079. doi: 10.1016/j.watres.2019.115079. [Epub ahead of print]

PMID:
31539666
15.

Machine learning for clinical decision support in infectious diseases: A narrative review of current applications.

Peiffer-Smadja N, Rawson TM, Ahmad R, Buchard A, Pantelis G, Lescure FX, Birgand G, Holmes AH.

Clin Microbiol Infect. 2019 Sep 17. pii: S1198-743X(19)30494-X. doi: 10.1016/j.cmi.2019.09.009. [Epub ahead of print] Review.

PMID:
31539636
16.

Machine Learning Accelerates Discovery of Optimal Colloidal Quantum Dot Synthesis.

Voznyy O, Levina L, Fan JZ, Askerka M, Jain A, Choi MJ, Ouellette O, Todorović P, Sagar LK, Sargent EH.

ACS Nano. 2019 Sep 20. doi: 10.1021/acsnano.9b03864. [Epub ahead of print]

PMID:
31539477
17.

Machine learning discovery of longitudinal patterns of depression and suicidal ideation.

Gong J, Simon GE, Liu S.

PLoS One. 2019 Sep 20;14(9):e0222665. doi: 10.1371/journal.pone.0222665. eCollection 2019.

PMID:
31539408
18.

Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer.

Siah KW, Khozin S, Wong CH, Lo AW.

JCO Clin Cancer Inform. 2019 Sep;3:1-11. doi: 10.1200/CCI.19.00046.

PMID:
31539267
19.

Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2.

Beinse G, Tellier V, Charvet V, Deutsch E, Borget I, Massard C, Hollebecque A, Verlingue L.

JCO Clin Cancer Inform. 2019 Sep;3:1-10. doi: 10.1200/CCI.19.00023.

PMID:
31539266
20.

Classification of drug molecules for oxidative stress signalling pathway.

Verma N, Singh H, Khanna D, Rana PS, Bhadada SK.

IET Syst Biol. 2019 Oct;13(5):243-250. doi: 10.1049/iet-syb.2018.5078.

PMID:
31538958

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