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545 results for “decision support”
Clinical Decision Support to Improve System Naloxone Co-prescribing
ClinicalTrials.gov study NCT06271668. IPD Sharing: YES. Countries: 1. Publications: 0.
Use of a Colorectal Cancer Screening Decision Support Tool in Primary Care
ClinicalTrials.gov study NCT06625983. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluation of Clinical Decision Support System-mPDia for Neurodegenerative Parkinsonism Using MRI Images
ClinicalTrials.gov study NCT04334902. IPD Sharing: NO. Countries: 1. Publications: 0.
A Decision Support System Based on Classification Algorithms for the Diagnosis of Periodontal Disease
ClinicalTrials.gov study NCT06071338. IPD Sharing: NO. Countries: 0. Publications: 2.
Supporting Decision Making for Musculoskeletal Preference-Sensitive Care
ClinicalTrials.gov study NCT01345123. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Empowering Caregivers in ADHD Treatment: Standard Care Vs. Decision Aid, Coaching, and AI Support
ClinicalTrials.gov study NCT06828900. IPD Sharing: YES. Countries: 1. Publications: 0.
Decision Support System for Diagnosis and Progression of Heart Failure
ClinicalTrials.gov study NCT06377319. IPD Sharing: YES. Countries: 0. Publications: 15.
Adaptive Decision Support for Addiction Treatment (ADAPT) Factorial Trial
ClinicalTrials.gov study NCT06793696. IPD Sharing: YES. Countries: 1. Publications: 0.
RCT: The Effect of an Electronic Clinical Decision Support Application on Perioperative Medication Errors.
ClinicalTrials.gov study NCT04342013. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Clinical Decision Support for Patient Migraine Management
ClinicalTrials.gov study NCT03706794. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Larval foraging decisions in competitive heterogeneous environments accommodate diets that support egg-to-adult development in a polyphagous fly
Open the record for dataset details and reuse information.
Data from: Patient factors that influence decision-making in self-management support: a clinical vignette study
Open the record for dataset details and reuse information.
Data from: Evaluating a handheld decision support device in pediatric intensive care settings
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Biomarker Validation on the ‘Analysis of geNe Expression and bioMarkers fOr poiNt-of-care dEcision support in Sepsis’ (ANEMONES) study
GEO Series GSE236713. Homo sapiens. 447 samples. Type: Expression profiling by array.
Validation and implementation of a mobile app decision support system for quality assurance of tumor boards. Analyzing the concordance rates for prostate cancer from a multidisciplinary tumor board of a University Cancer Center
<p>The data set contains anonymized clinicopathologic data of patients with prostate cancer. The data was used to determine concordance rates between recommendations proposed by the digital decision support system EasyOncology and actual treatment recommendations given by a tumor board. </p>
Figure 5 from: Rose DC, Addison P, Ausden M, Bennun L, Mills C, O'Donnell SAL, Parker C, Ryan M, Weatherdon L, Despot-Belmonte K, Sutherland WJ, Robertson RJ (2017) Decision support tools in conservation: a workshop to improve user-centred design. Research Ideas and Outcomes 3: e21074. https://doi.org/10.3897/rio.3.e21074
Figure 5 - Global Forest Watch had Vizzuality design input (credit: www.globalforestwatch.org).
Figure 1 from: Rose DC, Addison P, Ausden M, Bennun L, Mills C, O'Donnell SAL, Parker C, Ryan M, Weatherdon L, Despot-Belmonte K, Sutherland WJ, Robertson RJ (2017) Decision support tools in conservation: a workshop to improve user-centred design. Research Ideas and Outcomes 3: e21074. https://doi.org/10.3897/rio.3.e21074
Figure 1 - Outline of day (adapted from Rose et al. in press).
Figure 7 from: Rose DC, Addison P, Ausden M, Bennun L, Mills C, O'Donnell SAL, Parker C, Ryan M, Weatherdon L, Despot-Belmonte K, Sutherland WJ, Robertson RJ (2017) Decision support tools in conservation: a workshop to improve user-centred design. Research Ideas and Outcomes 3: e21074. https://doi.org/10.3897/rio.3.e21074
Figure 7 - Sustainability scoring exercise (photo credit: UNEP-WCMC).
Development of a Decision Support System for the Selection of LKD Assessors Using the AHP Method
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Smart Waste Management System Development and Evaluation Decision Support Framework
<p><strong>Smart Waste Management System Development and Evaluation Decision Support Framework</strong></p> <p><strong>Framework concept and goal</strong></p> <ul> <li> <p>For various cities with various infrastructure, financial capabilities, needs and goals of implementing a waste management (WM) system, a various set of WM services and technologies is needed</p> </li> <li> <p>There is a large number of studies describing individual aspects of WM systems in various specific context to solve various local problems</p> </li> <li> <p>We developed this improvement and evaluation decision support framework to provide recommendations about WM in the city, based on current goals, challenges, the characteristics of the city, city context and context of the city WM system</p> </li> <li> <p>This version of the framework is intended for the mayor of the city / city authorities</p> </li> </ul> <p> </p> <p><strong>Primary data for the framework operation and decision support</strong></p> <p>Primary data summarizes:</p> <ul> <li> <p>scientific research (173 primary studies, period 2014-2022) <br> <a href="https://ieeexplore.ieee.org/document/9815071">I. Sosunova and J. Porras, “IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review,” IEEE Access, vol. 10, no. July, pp. 73326–73363, 2022, doi: 10.1109/ACCESS.2022.3188308</a></p> </li> <li> <p>Surveys for residents, authorities and companies (Lappeenranta, Helsinki, Saint-Petersburg)</p> </li> <li> <p>practical research (2 international projects, hackathons, experience of leading Finnish companies)</p> </li> </ul> <p> </p> <p>Based on this data we build a Smart Waste Management (SWM) Model, that includes:</p> <ul> <li> <p>physical infrastructure</p> </li> <li> <p>services</p> </li> <li> <p>stakeholders</p> </li> <li> <p>data, shared between stakeholders </p> </li> </ul> <p> </p> <p><strong>Basic steps for using the framework</strong></p> <p>To get <strong>recommendations (5) </strong>about Improvement and Evaluation of the Waste Management System in your city, you will need read these <strong>Guide (1</strong>, we don't provide it in the figure<strong>)</strong> to define:</p> <ul> <li> <p><strong>Context (2)</strong> of your city and your city waste management system</p> </li> <li> <p><strong>Goals (3) </strong>of WM system Improvement and Evaluation and KPIs to measure the achievement of each goal</p> </li> <li> <p><strong>Challenges (4) </strong>for each goal and KPIs to some of the challenges (this will allow to measure the achievement of this challenges more accurately)</p> </li> </ul>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.