Institution
University of Missouri
Education•Columbia, Missouri, United States•
About: University of Missouri is a education organization based out in Columbia, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41427 authors who have published 83598 publications receiving 2911437 citations. The organization is also known as: Mizzou & Missouri-Columbia.
Topics: Population, Poison control, Health care, Gene, Mental health
Papers published on a yearly basis
Papers
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TL;DR: Overall, the RF ensemble learning method outperformed SVM, bagging and boosting in terms of the area under the receiver operating characteristic (ROC) curve (AUC), and has the advantage of computing the importance of each variable in the classification process.
Abstract: We present a method utilizing Healthcare Cost and Utilization Project (HCUP) dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorporated in a variety of applications such as risk management, tailored health communication and decision support systems in healthcare. We employed the National Inpatient Sample (NIS) data, which is publicly available through Healthcare Cost and Utilization Project (HCUP), to train random forest classifiers for disease prediction. Since the HCUP data is highly imbalanced, we employed an ensemble learning approach based on repeated random sub-sampling. This technique divides the training data into multiple sub-samples, while ensuring that each sub-sample is fully balanced. We compared the performance of support vector machine (SVM), bagging, boosting and RF to predict the risk of eight chronic diseases. We predicted eight disease categories. Overall, the RF ensemble learning method outperformed SVM, bagging and boosting in terms of the area under the receiver operating characteristic (ROC) curve (AUC). In addition, RF has the advantage of computing the importance of each variable in the classification process. In combining repeated random sub-sampling with RF, we were able to overcome the class imbalance problem and achieve promising results. Using the national HCUP data set, we predicted eight disease categories with an average AUC of 88.79%.
521 citations
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TL;DR: This chapter focuses on recent developments in the etiology of alcohol use disorders and ways in which genetic, environmental, psychopharmacological, and personological literatures can inform one another.
Abstract: Pathological alcohol use is a complex and costly problem. This chapter focuses on recent developments in the etiology of alcohol use disorders. Literature is reviewed from the fields of epidemiology, genetics, personality, neuropsychology, parenting, and social influences. In addition, theoretical models that describe pathways to the development of alcohol use disorders are presented. Particular emphasis is given to ways in which genetic, environmental, psychopharmacological, and personological literatures can inform one another.
520 citations
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TL;DR: The current emphasis on deciphering autism spectrum disorders has accelerated the field of neuroscience and demonstrated the necessity of multidisciplinary research that must include clinical geneticists both in the clinics and in the design and implementation of basic, clinical, and translational research.
519 citations
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TL;DR: The purpose of this article is to discuss recently completed works and draw inferences regarding key methodological elements and research study integrity.
Abstract: To make qualitative results more accessible to clinicians, researchers, and policy makers, individuals are urged to synthesize findings from related studies. Since 1994, several types of metasynthesis have been conducted, resulting in theory building, theory explication, and substantive descriptions of phenomena. A variety of methodologies have been used to complete these projects, as no firm metasynthesis guidelines exist. As such, the purpose of this article is to discuss recently completed works and draw inferences regarding key methodological elements and research study integrity. The author also offers suggestions for future investigations.
519 citations
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01 Jan 2003TL;DR: The Value of Knowledge and the Pursuit of Understanding as mentioned in this paper argues that epistemology properly conceived cannot ignore the question of the value of knowledge and also questions one of the most fundamental assumptions of knowledge, namely that knowledge is always more valuable than its subparts.
Abstract: Epistemology has for a long time focused on the concept of knowledge and tried to answer questions such as whether knowledge is possible and how much of it there is. Often missing from this inquiry, however, is a discussion on the value of knowledge. In The Value of Knowledge and the Pursuit of Understanding Jonathan Kvanvig argues that epistemology properly conceived cannot ignore the question of the value of knowledge. He also questions one of the most fundamental assumptions in epistemology, namely that knowledge is always more valuable than the value of its subparts. Taking Platos' Meno as a starting point of his discussion, Kvanvig tackles the different arguments about the value of knowledge and comes to the conclusion that knowledge is less valuable than generally assumed. Clearly written and well argued, this 2003 book will appeal to students and professionals in epistemology.
518 citations
Authors
Showing all 41750 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Meir J. Stampfer | 277 | 1414 | 283776 |
Russel J. Reiter | 169 | 1646 | 121010 |
Chad A. Mirkin | 164 | 1078 | 134254 |
Robert Stone | 160 | 1756 | 167901 |
Howard I. Scher | 151 | 944 | 101737 |
Rajesh Kumar | 149 | 4439 | 140830 |
Joseph T. Hupp | 141 | 731 | 82647 |
Lihong V. Wang | 136 | 1118 | 72482 |
Stephen R. Carpenter | 131 | 464 | 109624 |
Jan A. Staessen | 130 | 1137 | 90057 |
Robert S. Brown | 130 | 1243 | 65822 |
Mauro Giavalisco | 128 | 412 | 69967 |
Kenneth J. Pienta | 127 | 671 | 64531 |
Matthew W. Gillman | 126 | 529 | 55835 |