Institution
University of Michigan
Education•Ann Arbor, Michigan, United States•
About: University of Michigan is a education organization based out in Ann Arbor, Michigan, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 138538 authors who have published 342338 publications receiving 17638979 citations. The organization is also known as: UMich & UM.
Topics: Population, Poison control, Health care, Cancer, Transplantation
Papers published on a yearly basis
Papers
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Boston University1, Rush University Medical Center2, University of Tennessee Health Science Center3, University of Michigan4, University at Buffalo5, University of Mississippi6, University of Miami7, University of Alabama at Birmingham8, Case Western Reserve University9, National Institutes of Health10
TL;DR: The most effective therapy prescribed by the most careful clinician will control hypertension only if patients are motivated, and empathy builds trust and is a potent motivator.
Abstract: "The Seventh Report of the Joint National Committee on Prevention, Detection,
Evaluation, and Treatment of High Blood Pressure" provides a new guideline
for hypertension prevention and management. The following are the key messages(1) In persons older than 50 years, systolic blood pressure (BP) of
more than 140 mm Hg is a much more important cardiovascular disease
(CVD) risk factor than diastolic BP; (2) The risk of CVD, beginning at 115/75
mm Hg, doubles with each increment of 20/10 mm Hg; individuals who are normotensive
at 55 years of age have a 90% lifetime risk for developing hypertension; (3)
Individuals with a systolic BP of 120 to 139 mm Hg or a diastolic BP of 80
to 89 mm Hg should be considered as prehypertensive and require health-promoting
lifestyle modifications to prevent CVD; (4) Thiazide-type diuretics should
be used in drug treatment for most patients with uncomplicated hypertension,
either alone or combined with drugs from other classes. Certain high-risk
conditions are compelling indications for the initial use of other antihypertensive
drug classes (angiotensin-converting enzyme inhibitors, angiotensin-receptor
blockers, β-blockers, calcium channel blockers); (5) Most patients with
hypertension will require 2 or more antihypertensive medications to achieve
goal BP (<140/90 mm Hg, or <130/80 mm Hg for patients with diabetes
or chronic kidney disease); (6) If BP is more than 20/10 mm Hg above goal
BP, consideration should be given to initiating therapy with 2 agents, 1 of
which usually should be a thiazide-type diuretic; and (7) The most effective
therapy prescribed by the most careful clinician will control hypertension
only if patients are motivated. Motivation improves when patients have positive
experiences with and trust in the clinician. Empathy builds trust and is a
potent motivator. Finally, in presenting these guidelines, the committee recognizes
that the responsible physician's judgment remains paramount.
24,988 citations
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TL;DR: The results of an international collaboration to produce and make freely available a draft sequence of the human genome are reported and an initial analysis is presented, describing some of the insights that can be gleaned from the sequence.
Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.
22,269 citations
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TL;DR: In this article, the authors address the ability to predict peoples' computer acceptance from a measure of their intentions, and explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables.
Abstract: Computer systems cannot improve organizational performance if they aren't used. Unfortunately, resistance to end-user systems by managers and professionals is a widespread problem. To better predict, explain, and increase user acceptance, we need to better understand why people accept or reject computers. This research addresses the ability to predict peoples' computer acceptance from a measure of their intentions, and the ability to explain their intentions in terms of their attitudes, subjective norms, perceived usefulness, perceived ease of use, and related variables. In a longitudinal study of 107 users, intentions to use a specific system, measured after a one-hour introduction to the system, were correlated 0.35 with system use 14 weeks later. The intention-usage correlation was 0.63 at the end of this time period. Perceived usefulness strongly influenced peoples' intentions, explaining more than half of the variance in intentions at the end of 14 weeks. Perceived ease of use had a small but significant effect on intentions as well, although this effect subsided over time. Attitudes only partially mediated the effects of these beliefs on intentions. Subjective norms had no effect on intentions. These results suggest the possibility of simple but powerful models of the determinants of user acceptance, with practical value for evaluating systems and guiding managerial interventions aimed at reducing the problem of underutilized computer technology.
21,880 citations
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08 Oct 2016TL;DR: The approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location, which makes SSD easy to train and straightforward to integrate into systems that require a detection component.
Abstract: We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location. At prediction time, the network generates scores for the presence of each object category in each default box and produces adjustments to the box to better match the object shape. Additionally, the network combines predictions from multiple feature maps with different resolutions to naturally handle objects of various sizes. SSD is simple relative to methods that require object proposals because it completely eliminates proposal generation and subsequent pixel or feature resampling stages and encapsulates all computation in a single network. This makes SSD easy to train and straightforward to integrate into systems that require a detection component. Experimental results on the PASCAL VOC, COCO, and ILSVRC datasets confirm that SSD has competitive accuracy to methods that utilize an additional object proposal step and is much faster, while providing a unified framework for both training and inference. For \(300 \times 300\) input, SSD achieves 74.3 % mAP on VOC2007 test at 59 FPS on a Nvidia Titan X and for \(512 \times 512\) input, SSD achieves 76.9 % mAP, outperforming a comparable state of the art Faster R-CNN model. Compared to other single stage methods, SSD has much better accuracy even with a smaller input image size. Code is available at https://github.com/weiliu89/caffe/tree/ssd.
19,543 citations
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TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
Abstract: Criteria for evaluating structural equation models with latent variables are defined, critiqued, and illustrated. An overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence. Model assessment is considered to be a complex process mixing statistical criteria with philosophical, historical, and theoretical elements. Inevitably the process entails some attempt at a reconcilation between so-called objective and subjective norms.
19,160 citations
Authors
Showing all 142736 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Robert Langer | 281 | 2324 | 326306 |
Ronald C. Kessler | 274 | 1332 | 328983 |
Graham A. Colditz | 261 | 1542 | 256034 |
George M. Whitesides | 240 | 1739 | 269833 |
Salim Yusuf | 231 | 1439 | 252912 |
Richard A. Flavell | 231 | 1328 | 205119 |
John Q. Trojanowski | 226 | 1467 | 213948 |
Irving L. Weissman | 201 | 1141 | 172504 |
Francis S. Collins | 196 | 743 | 250787 |
Eric B. Rimm | 196 | 988 | 147119 |
Robert M. Califf | 196 | 1561 | 167961 |
Martin White | 196 | 2038 | 232387 |
Craig B. Thompson | 195 | 557 | 173172 |
Eric J. Topol | 193 | 1373 | 151025 |