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214,423 results for machine learning

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  1. Journal Article Full text

    Keratoconus severity identification using unsupervised machine learning

    Yousefi, Siamak; Yousefi, Ebrahim; Takahashi, Hidenori et al.

    PLoS One · 2018 · English · PubMed Central

    We developed an unsupervised machine learning algorithm and applied it to big corneal parameters to identify and monitor keratoconus stages. A big dataset of corneal swept source optical coherence tomography (OCT) images of 12,242 eyes acquired from SS-1000 CASIA OCT Imaging Systems in multiple…

  2. Journal Article Full text

    Machine Learning for Drug-Target Interaction Prediction

    Chen, Ruolan; Liu, Xiangrong; Jin, Shuting et al.

    Molecules · 2018 · English · PubMed Central

    …interaction (DTI) prediction. In this review, our goal is to focus on machine learning approaches and provide a comprehensive overview. First, we summarize a brief list of databases frequently used in drug discovery. Next, we adopt a hierarchical classification scheme and introduce several…

  3. Journal Article Full text

    Novel applications of Machine Learning in cheminformatics

    Spjuth, Ola

    J Cheminform · 2018 · English · PubMed Central

  4. Journal Article Full text

    Quantum machine learning for electronic structure calculations

    Xia, Rongxin; Kais, Sabre

    Nat Commun · 2018 · English · PubMed Central

    Considering recent advancements and successes in the development of efficient quantum algorithms for electronic structure calculations—alongside impressive results using machine learning techniques for computation—hybridizing quantum computing with machine learning for the intent of performing…

  5. Journal Article Full text

    Machine Learning Methods to Predict Diabetes Complications

    Dagliati, Arianna; Marini, Simone; Sacchi, Lucia et al.

    J Diabetes Sci Technol · 2017 · English · PubMed Central

    One of the areas where Artificial Intelligence is having more impact is machine learning, which develops algorithms able to learn patterns and decision rules from data. Machine learning algorithms have been embedded into data mining pipelines, which can combine them with classical statistical…

  6. Journal Article Full text

    MoleculeNet: a benchmark for molecular machine learning

    Wu, Zhenqin; Ramsundar, Bharath; Feinberg, Evan N. et al.

    Chem Sci · 2017 · English · PubMed Central

    Molecular machine learning has been maturing rapidly over the last few years. Improved methods and the presence of larger datasets have enabled machine learning algorithms to make increasingly accurate predictions about molecular properties. However, algorithmic progress has been limited due to the…

  7. Journal Article Full text

    Machine Learning in Orthopedics: A Literature Review

    Cabitza, Federico; Locoro, Angela; Banfi, Giuseppe

    Front Bioeng Biotechnol · 2018 · English · PubMed Central

    In this paper we present the findings of a systematic literature review covering the articles published in the last two decades in which the authors described the application of a machine learning technique and method to an orthopedic problem or purpose. By searching both in the Scopus and Medline…

  8. Journal Article Full text

    Machine Learning Methods for Histopathological Image Analysis

    Komura, Daisuke; Ishikawa, Shumpei

    Comput Struct Biotechnol J · 2018 · English · PubMed Central

    Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques. However, digital pathological images and related tasks have some issues to be considered. In this mini-review, we…

  9. Journal Article Full text

    Nonadiabatic Excited-State Dynamics with Machine Learning

    Dral, Pavlo O.; Barbatti, Mario; Thiel, Walter

    J Phys Chem Lett · 2018 · English · PubMed Central

    [Image: see text] We show that machine learning (ML) can be used to accurately reproduce nonadiabatic excited-state dynamics with decoherence-corrected fewest switches surface hopping in a 1-D model system. We propose to use ML to significantly reduce the simulation time of realistic…

  10. Journal Article Full text

    Approaching the adiabatic timescale with machine learning

    Henson, Bryce M.; Shin, Dong K.; Thomas, Kieran F. et al.

    Proc Natl Acad Sci U S A · 2018 · English · PubMed Central

    …work, we experimentally demonstrate an alternative approach based on a machine-learning algorithm which makes progress toward this goal. The algorithm is given control of the coupled decompression and transport of a metastable helium condensate, with its performance determined after each…

  11. Journal Article Full text

    Fast, Continuous Audiogram Estimation using Machine Learning

    Song, Xinyu D.; Wallace, Brittany M.; Gardner, Jacob R. et al.

    Ear Hear · 2015 · English · PubMed Central

    …estimating a continuous threshold audiogram using Bayesian estimation and machine learning classification. The objective of this study is to assess the accuracy and reliability of this new method relative to a commonly used threshold measurement technique. DESIGN: The authors performed air…

  12. Journal Article Full text

    Introduction to machine learning: k-nearest neighbors

    Zhang, Zhongheng

    Ann Transl Med · 2016 · English · PubMed Central

    Machine learning techniques have been widely used in many scientific fields, but its use in medical literature is limited partly because of technical difficulties. k-nearest neighbors (kNN) is a simple method of machine learning. The article introduces some basic ideas underlying the kNN algorithm…

  13. Journal Article Full text

    Machine Learning Applications in Medical Image Analysis

    El-Baz, Ayman; Gimel'farb, Georgy; Suzuki, Kenji

    Comput Math Methods Med · 2017 · English · PubMed Central

  14. Journal Article Full text

    IRB Process Improvements: A Machine Learning Analysis

    Shoenbill, Kimberly; Song, Yiqiang; Cobb, Nichelle L. et al.

    J Clin Transl Sci · 2017 · English · PubMed Central

    …analysis to identify significant predictors of IRB processing time and machine learning methods to predict processing times through the IRB review system. Based on initial identified predictors, changes to IRB workflow and staffing procedures were instituted and we repeated our analysis. RESULTS…

  15. Journal Article Full text

    Machine Learning Theory and Applications for Healthcare

    Khare, Ashish; Jeon, Moongu; Sethi, Ishwar K. et al.

    J Healthc Eng · 2017 · English · PubMed Central

  16. Journal Article Full text

    Epileptic Seizures Prediction Using Machine Learning Methods

    Usman, Syed Muhammad; Usman, Muhammad; Fong, Simon

    Comput Math Methods Med · 2017 · English · PubMed Central

    …of the onset is quite useful for preventing the seizure by medication. Machine learning techniques and computational methods are used for predicting epileptic seizures from Electroencephalograms (EEG) signals. However, preprocessing of EEG signals for noise removal and features extraction are two…

  17. Journal Article Full text

    Machine Learning Interface for Medical Image Analysis

    Zhang, Yi C.; Kagen, Alexander C.

    J Digit Imaging · 2016 · English · PubMed Central

    TensorFlow is a second-generation open-source machine learning software library with a built-in framework for implementing neural networks in wide variety of perceptual tasks. Although TensorFlow usage is well established with computer vision datasets, the TensorFlow interface with DICOM formats…

  18. Journal Article Full text

    Unintended consequences of machine learning in medicine?

    McDonald, Laura; Ramagopalan, Sreeram V.; Cox, Andrew P. et al.

    F1000Res · 2017 · English · PubMed Central

    Machine learning (ML) has the potential to significantly aid medical practice. However, a recent article highlighted some negative consequences that may arise from using ML decision support in medicine. We argue here that whilst the concerns raised by the authors may be appropriate, they are not…

  19. Journal Article Full text

    Decontaminating eukaryotic genome assemblies with machine learning

    Fierst, Janna L.; Murdock, Duncan A.

    BMC Bioinformatics · 2017 · English · PubMed Central

    …organism. RESULTS: We introduce a novel application of an established machine learning method, a decision tree, that can rigorously classify sequences. The major strength of the decision tree is that it can take any measured feature as input and does not require a priori identification of…

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