Browsing by Subject "machine learning"
Now showing items 1-20 of 57
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(2019-07-17)Department: Earth and Environmental SciencesThe decision to migrate is complex and is often influenced by a combination of economic, social, political, and environmental pressures. Seasonal, internal migration is a common strategy for livelihood diversification in ...
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A Decision Tree Based Approach to Filter Candidates for Software Engineering Jobs Using GitHub Data (2015-04-08)Department: Computer ScienceA challenge for companies hiring software engineers is the large number of candidate profiles on LinkedIn, Monster.com, and other job websites and the inability to easily filter top candidates from these lists. In this ...
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(2017-03-28)Department: Interdisciplinary Studies: Integrated Computational Decision ScienceMy overarching modeling goal for my dissertation is to maximize generalization – some function of data and knowledge – from one sample, with its observations drawn independently from the distribution D, to another sample ...
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(2011-04-16)Department: Biomedical InformaticsMolecular medicine encompasses the application of molecular biology techniques and knowledge to the prevention, diagnosis and treatment of diseases and disorders. Statistical and computational models can predict clinical ...
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(2016-07-25)Department: BiostatisticsNonstationary Gaussian process regression can be used to transform irregularly episodic and noisy measurements into continuous probability densities to make them more compatible with standard machine learning algorithms. ...
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(2016-08-12)Department: ChemistryComputational approaches have become important tools in drug discovery. Computational technologies have been developed for application in all aspects of the drug discovery process including target identification, lead ...
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(2018-03-23)Department: Biomedical InformaticsThe Hospital Readmissions Reduction Program (HRRP) permits Centers for Medicare and Medicaid Services (CMS) to reduce reimbursement to hospitals with excess 30-day unplanned readmissions. Diabetes disproportionately impacts ...
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(2015-06-25)Department: Biomedical InformaticsNamed entity recognition (NER) is one of the fundamental tasks for building clinical natural language processing (NLP) systems. Machine learning (ML) based approaches can achieve good performance. However, they often require ...
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(2018-04-17)Department: Computer ScienceTransportation infrastructure is a complex human cyber-physical system that is currently facing significant challenges in many communities around the world. The problem emanates from increased congestion, which results in ...
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(2015-11-12)Department: Biomedical InformaticsPeople with questions about their health have been seeking answers from online resources. Patient portals, electronic applications that allow patients to interact with their healthcare providers, have had increasing adoption ...
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(2008-12-30)Department: Computer ScienceCOMPUTER SCIENCE CAR DETECTION BY CLASSIFICATION OF IMAGE SEGMENTS Robert Morgan Halpenny Thesis under the direction of Professor Xenofon D. Koutsoukos Object detection is one of the most important unsolved problems ...
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(2019-04-09)Department: Biomedical EngineeringOtitis media (OM), an inflammatory disease of the middle ear, is the most frequent cause of physician visits and prescription of antibiotics for children. Current methods to diagnose OM rely on varying symptoms and visual ...
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Classification and Characterization of Sleep Apnea using Machine Learning Methods on Sleep Studies (2021-01-19)Department: Biomedical InformaticsObstructive Sleep Apnea (OSA) Syndrome is a sleep disorder in which breathing rapidly starts and stops during sleep. It has been independently linked to multiple adverse health outcomes including an increased risk of ...
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(2015-08-27)Department: Biomedical InformaticsThe aims of this project are 1) to evaluate various data sources and algorithms for identifying hypertensive individuals within the electronic health record, and 2) to develop and evaluate a novel method for identifying ...
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(2018-04-06)Department: Environmental EngineeringWater flows in the Earth system are complex and difficult to quantify. Using data without recourse to an underlying physical theory has been a hallmark of hydrologic science for many years. Currently the expanding ability ...
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(2016-11-21)Department: Biomedical InformaticsThe widely used American Society of Anesthesiologist’s’ (ASA) Physical Status classification is subjective and requires time-consuming clinician assessment. Machine learning can be used to develop a system that predicts ...
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(2005-12-13)Department: Biomedical InformaticsUnwanted drug-drug interactions endanger millions of patients each year and burden families and the hospital system with escalating costs. Computer-based alerting systems are designed to prevent these interactions, yet the ...
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(2016-11-18)Department: ChemistryLigand-based computational drug discovery (LB-CADD) methods have been used widely over the last several decades to aid medicinal chemistry campaigns via virtual high-throughput screening (vHTS) and de-novo molecular design. ...
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(2007-07-31)Department: Biomedical InformaticsMass Spectrometry (MS) is emerging as a breakthrough mass-throughput technology believed to have powerful potential for producing clinical diagnostic and prognostic models and for identifying relevant disease biomarkers. ...
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(2015-07-21)Department: Chemical and Physical BiologyThe ability to make rapid predictions of macro-molecular structures will enable researchers to carry out effective protein design, virtual High Throughput Screening (vHTS) and rational drug design studies. Here, we describe ...