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40
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Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
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URL Address
<a href="http://doi.org/10.1145/2110363.2110464" target="_blank" rel="noreferrer">http://doi.org/10.1145/2110363.2110464</a>
<a href="http://doi.acm.org/10.1145/2110363.2110464" target="_blank" rel="noreferrer">http://doi.acm.org/10.1145/2110363.2110464</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Deploying an Interactive Machine Learning System in an Evidence-based Practice Center: Abstrackr
Publisher
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Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Date
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2012
Subject
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Evidence-Based Medicine; Medical; active learning; applications; machine learning; Scoping Review 2015-2016; text classification
Creator
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Wallace BC; Small K; Brodley CE; Lau J; Trikalinos TA
Description
An account of the resource
Medical researchers looking for evidence pertinent to a specific clinical question must navigate an increasingly voluminous corpus of published literature. This data deluge has motivated the development of machine learning and data mining technologies to facilitate efficient biomedical research. Despite the obvious labor-saving potential of these technologies and the concomitant academic interest therein, however, adoption of machine learning techniques by medical researchers has been relatively sluggish. One explanation for this is that while many machine learning methods have been proposed and retrospectively evaluated, they are rarely (if ever) actually made accessible to the practitioners whom they would benefit. In this work, we describe the ongoing development of an end-to-end interactive machine learning system at the Tufts Evidence-based Practice Center. More specifically, we have developed abstrackr, an online tool for the task of citation screening for systematic reviews. This tool provides an interface to our machine learning methods. The main aim of this work is to provide a case study in deploying cutting-edge machine learning methods that will actually be used by experts in a clinical research setting.
Identifier
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<a href="http://doi.org/10.1145/2110363.2110464" target="_blank" rel="noreferrer">10.1145/2110363.2110464</a>
Rights
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Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Type
The nature or genre of the resource
Conference Paper
2012
active learning
applications
Backlog
Brodley CE
Conference Paper
Evidence-based Medicine
Lau J
machine learning
Medical
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Scoping Review 2015-2016
Small K
text classification
Trikalinos TA
Wallace BC
-
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
Citation List Month
Backlog
URL Address
<a href="http://doi.org/10.1016/s0895-4356(96)00429-5" target="_blank" rel="noreferrer">http://doi.org/10.1016/s0895-4356(96)00429-5</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Combining single patient (N-of-1) trials to estimate population treatment effects and to evaluate individual patient responses to treatment
Publisher
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Journal Of Clinical Epidemiology
Date
A point or period of time associated with an event in the lifecycle of the resource
1997
Subject
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Humans; Outcome Assessment (Health Care); Research Design; Antidepressive Agents; Cross-Over Studies; Models; Statistical; Chronic disease; Amitriptyline/therapeutic use; Bayes Theorem; Fibromyalgia/drug therapy; Randomized Controlled Trials as Topic/statistics & numerical data; Tricyclic
Creator
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Zucker DR; Schmid CH; McIntosh MW; D'Agostino RB; Selker HP; Lau J
Description
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When treating individual patients, physicians may face difficulties using the evidence from center-based randomized control trials (RCTs) due to limitations in these studies generalizability. Therefore, they often perform their own "informal" tests of treatment effectiveness. Single patient ("N-of-1") trials provide a structured design for more rigorous assessment of medical treatments of chronic diseases, but are applied only to the index patient. We present a hierarchical Bayesian random effects model to combine N-of-1 studies to obtain an estimate of treatment effectiveness for the population and to use this population information to aid in the evaluation of an individual patient's trial results. The model's treatment effect estimates are adjustments between the population estimate and the individual's observed results. This adjustment is based upon the within-patient and between-patient heterogeneity. We demonstrate this patient-focused method using published data from 23 N-of-1 trial results comparing amitriptyline and placebo for the treatment of fibromyalgia.
1997
Identifier
An unambiguous reference to the resource within a given context
<a href="http://doi.org/10.1016/s0895-4356(96)00429-5" target="_blank" rel="noreferrer">10.1016/s0895-4356(96)00429-5</a>
Rights
Information about rights held in and over the resource
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Type
The nature or genre of the resource
Journal Article
1997
Amitriptyline/therapeutic use
Antidepressive Agents
Backlog
Bayes Theorem
Chronic Disease
Cross-Over Studies
D'Agostino RB
Fibromyalgia/drug therapy
Humans
Journal Article
Journal Of Clinical Epidemiology
Lau J
McIntosh MW
Models
Outcome Assessment (health Care)
Randomized Controlled Trials as Topic/statistics & numerical data
Research Design
Schmid CH
Selker HP
statistical
Tricyclic
Zucker DR