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1,532
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1,532 results for “App”
Artifacts for Characterizing Human Aspects in Reviews of COVID-19 Apps
<p>This archive contains the artifacts associated with our study titled "Characterizing Human Aspects in Reviews of COVID-19 Apps".</p> <p>Specifically, the archive contains:<br> * The dataset of reviews we downloaded from the App Store and the Google Play store (`Reviews.zip`)<br> * The keywords we used to filter the reviews (`Keywords.json`)<br> * The filtered dataset of reviews (`Filtered_Reviews.zip`)<br> * The codebook to characterize human aspects (`Human_Aspects_Codebook.pdf`)<br> * The codebook to characterize review types (`Review_Types_Codebook.pdf`)<br> * The labeled App Store reviews (`Labeled_Reviews-Apple_Store.csv`)<br> * The labeled Google Play store reviews (`Labeled_Reviews-Apple_Store.csv`)</p>
Google Scholar search record using GSscraper app: 2022-04-16
File generated: Search date, time, timezone: 2022-04-16 09:03:19 (Europe/London) Search parameters: All these words: crayfish None of these words: This exact word or phrase: "" Any these words: Language: en Between these years: and Number of pages exported: 1 Starting from page: 1 Citations included: TRUE Citations included: TRUE Search only in the title: FALSE Authors: Source: GS links generated: https://scholar.google.co.uk/scholar?start=0&q=crayfish&hl=en&as_vis=0&as_sdt=2007
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>
Interval-based Verification for Medical Scores and Score Calculator Apps
<p>Dataset Of Interval-based Verification for Medical Scores and Score Calculator Apps</p>
Dataset for a discrete choice experiment examining preferences and willingness to pay for health app assessments among healthcare stakeholders
<p>Data collected as part of a discrete choice experiment study which examined the preferences and willingness to pay for health app assessments with different value propositions among health app developers and health system representatives. The following documents are posted on Zenodo:</p> <ul> <li>Codebook for participant background information</li> <li>Participant background information</li> <li>Discrete choice experiment data</li> </ul>
User Reviews - Mobile Apps
<p>User reviews extracted from google play mobile apps.</p> <p> </p>
User Reviews - Mobile Game Apps
Open the record for dataset details and reuse information.
The Reliability And Validity Of A Smartphone App
ClinicalTrials.gov study NCT05819242. IPD Sharing: YES. Countries: 1. Publications: 0.
PATHS-UP Health Behavior Self-monitoring Mobile App for Adolescents
ClinicalTrials.gov study NCT06959901. IPD Sharing: NO. Countries: 1. Publications: 0.
Home-based Assessment of PRO Measures in SCD Using A Smartphone App Platform: A Feasibility Study
ClinicalTrials.gov study NCT04678037. IPD Sharing: NO. Countries: 1. Publications: 0.
Effects of a Application (Flourish App) in Medical Students
ClinicalTrials.gov study NCT03895190. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of a Mindfulness App for Outpatients Waitlisted for Psychological Interventions
ClinicalTrials.gov study NCT05211960. IPD Sharing: NO. Countries: 1. Publications: 0.
A Motivation-enhancing App to Retain Patients With Hay Fever in a Trial After Treatment
ClinicalTrials.gov study NCT05560698. IPD Sharing: NO. Countries: 1. Publications: 0.
Apply the (MyTransition) App In Transition
ClinicalTrials.gov study NCT03188224. IPD Sharing: NO. Countries: 1. Publications: 0.
Efficacy of a Smartphone Suicide Prevention App
ClinicalTrials.gov study NCT07160465. IPD Sharing: Not stated. Countries: 1. Publications: 0.
My Health Coach App RCT
ClinicalTrials.gov study NCT06638463. IPD Sharing: YES. Countries: 1. Publications: 0.
Mobile App-based Approach for Reducing Pain and Hazardous Drinking: a Pilot Study
ClinicalTrials.gov study NCT06281821. IPD Sharing: Not stated. Countries: 1. Publications: 0.
BrainWeighve App Feasibility Study
ClinicalTrials.gov study NCT05530538. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Investigating the Effects of the Digital App Rheumabuddy4.1 in a Clinical RCT Set-up in Patients With Rheumatoid Arthritis
ClinicalTrials.gov study NCT06337786. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Design and Implementation of a Mobile App for Promoting Healthy and Sustainable Eating Among Students at the University of Parma (MAPHealthS)
ClinicalTrials.gov study NCT06977802. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.