Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
5,565
datasets available to search
ShareScore release 0.9.0
Dataset results
5,565 results for “medical”
Locally adapting generic rubrics for the implementation of outcome-based medical education: A mixed-methods approach
<p>Background</p> <p>Rubrics are frequently used to assess competencies in outcome-based education (OBE). The implementation of assessment systems using rubrics is usually realised through years of involvement in projects with various stakeholders. However, for countries or specialities new to OBE, faster and more simplified processes are required. In March 2019, Japan introduced nine competencies and generic rubrics of competencies for medical residents. We explored the local adaptation of these generic rubrics and its consequences for assessors.</p> <p>Results</p> <p>A locally adapted assessment system was developed and implemented in seven months. The scores of the generic rubrics and the adapted assessment tool completed by the supervising doctors showed good correlations in some items as opposed to others, assessed mainly with other tools. Participant interviews revealed that local adaptation decreased their cognitive load leading to consistent ratings, increased writing of comments, and promoting reflection on instruction.</p> <p>Conclusions</p> <p>This adaptation process is a feasible way to begin the implementation of OBE. Local adaptation has advantages over direct use of generic rubrics.</p>
Coronary atherosclerotic burden assessed by SYNTAX scores and outcomes in surgical, percutaneous, or medical strategies: A retrospective cohort study
<div><span><strong>Introduction</strong></span></div> <div> </div> <div> <span>Coronary atherosclerotic burden and SYNTAX score (SS) are predictors of cardiovascular events.</span> </div> <div> </div> <div><span><strong>Objectives</strong></span></div> <div> </div> <div> <span>To investigate the value of SYNTAX scores (SS, SSII and residual SS [rSS]) for predicting cardiovascular events in patients with coronary artery disease (CAD).</span> </div> <div> </div> <div><strong><span>Design</span></strong></div> <div> </div> <div> <span>Retrospective cohort study.</span> </div> <div> </div> <div><strong><span>Setting</span></strong></div> <div> </div> <div> <span>Single tertiary centre.</span> </div> <div><strong> </strong></div> <div><strong><span>Participants</span></strong></div> <div> </div> <div> <span>Medicine, Angioplasty or Surgery Study (MASS) database patients with stable multivessel CAD and preserved ejection fraction.</span> </div> <div> </div> <div> <span>Interventions</span><span> CAD patients undergoing coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), or medical treatment (MT) alone from January 2002 to December 2015.</span> </div> <div> </div> <div> <span>Primary and secondary outcomes</span><span> Primary: 5-year all-cause mortality. Secondary: composite of all-cause death, myocardial infarction, stroke, and subsequent coronary revascularization at 5 years.</span> </div> <div> </div> <div><strong><span>Results</span></strong></div> <div> </div> <div> <span>A total of 1,719 patients underwent PCI (n = 573), CABG (n = 572), or MT (n = 574) alone. </span><span>The SS was not considered an independent predictor of 5-year mortality in the PCI </span><span>(low, intermediate and high SS 6.5%, 6.8% and 4.3%, respectively, p=0.745)</span><span>, CABG </span><span>(low, intermediate and high SS 5.7%, 8.0% and 12.1%, respectively, p=0.194)</span><span> and MT </span><span>(low, intermediate and high SS 6.8%, 6.9% and 6.5%, respectively, p=0.993)</span><span> cohorts. The SSII (low, intermediate and high SSII, 3.6% vs. 7.9% vs. 10.5%, respectively, p <0.001) was associated with a higher mortality risk in the overall population. Within each treatment strategy, SSII was associated with a significant 5-year mortality rate, especially in CABG patients with higher SSII (</span><span>low, intermediate and high SSII, </span><span>1.8%, 9.7% and 10.0%, respectively, </span><span>p = 0.004) and in MT patients with high SSII (</span><span>low, intermediate and high SSII, 5.0%, 4.7% and 10.8%, respectively,</span><span> p = 0.031). </span><span>SSII demonstrated a better predictive accuracy for mortality compared with SS and rSS </span><span>(c-index = 0.62)</span><span>. </span> </div> <div> </div> <div><span><strong>Conclusions</strong></span></div> <div> </div> <div><span>Coronary atherosclerotic burden alone was not associated with significantly increased risk of all-cause mortality. The SSII better discriminates the risk of death. </span></div>
Data from: The Effect of Watching Lecture Videos at 2x Speed on Memory Retention Performance of Medical Students: An Experimental Study
<p><strong>The study is accesible from here: </strong><a href="https://www.tandfonline.com/doi/full/10.1080/0142159X.2023.2189537">https://www.tandfonline.com/doi/full/10.1080/0142159X.2023.2189537</a><br> <br> <strong>Dataset Info</strong></p> <p># The first row of the dataset identifies the columns.<br> # The first column represents the participant ids.<br> # The second column represents the participants' universities (1 to 9 represent nine universities).<br> # The third column represents the years of participants in their six-year-long medical schools (1: Year-1 students, 2: Year-2 students).<br> # The fourth column represents the genders of participants (1: Female, 2: Male).<br> # The fifth column represents the speed that participants watched the video at (1: 1x Speed, 2: 2x Speed).<br> # The sixth to the twenty fifth columns (i_q1 to i_q20) represent the scores in the first to twentieth questions in the Immediate test, respectively (0: False, 1: True).<br> # The twenty sixth column (i_totalscore) represents the total score in the Immediate test.<br> # The twenty seventh to fourty sixth columns (d_q1 to d_q20) represent the scores in the first to twentieth questions in the Delayed test, respectively (0: False, 1: True).<br> # The fourty seventh column (d_totalscore) represents the total score in the Delayed test.</p>
Medical Journals in Spanish
<p>Medical Journals in Spanish used to compute <a href="https://zenodo.org/record/6647060">Word embeddings for the Spanish clinical language</a></p>
Healthcare Professionals Interpersonal variability and determinants of medical decision thresholds for active management of extremely preterm infants in a level 3 perinatal center in France
<p>Raw data and R script</p>
Automated Identification of Cervical Fractures from Medical Scans Using Deep Learning
Open the record for dataset details and reuse information.
The Opposite Interaction Between Academic Achievement and Self-Regulated Learning on Critical Thinking in Undergraduate Medical Students
<p>This is a single center survey of critical thinking disposition in undergraduate medical students. The survey was performed in three different batches in that school.</p>
Student engagement in a flipped undergraduate medical classroom to measure optimal video-based lecture length
<p><strong><span>Purpose</span></strong><span>: </span><span>to determine the optimal length of video-based lectures for undergraduate medical students in a flipped classroom environment, considering not only audience retention (AR) but also other complementary aspects. </span></p> <p><strong><span>Methods:</span></strong><span><span> a</span></span><span> total of 173 videos<span> </span>were used<span> </span>across three consecutive courses. The outcome variables included the percentage of video viewing, viewing index, AR percentage, early dropout percentage, percentage of students who did not access the clip, and percentage of students answering the questions embedded in the clips. Information was obtained from the own platform at the end of each course. All the outcome variables were considered a function of the video length over or under different cut-off points.<span> </span></span></p>
Chest X-Ray Image Dataset: A Resource for Medical Diagnosis and Machine Learning
<p>The Chest X-Ray Image Dataset is an extensive collection designed to support medical research and the development of diagnostic tools for COVID-19 detection. It consists of two distinct classes: COVID-19 affected X-ray images and normal X-ray images of the chest area, each covering the full lungs. This dataset provides a diverse range of X-ray images, capturing the unique characteristics of both healthy and COVID-19 affected lungs, making it an invaluable resource for training and testing machine learning models in medical image classification and analysis.</p>
Deep Neural Models for Medical Concept Normalization in User-Generated Texts
<p>PsyTar folds used for experiments in the paper "Deep Neural Models for Medical Concept Normalization in User-Generated Texts" to be published at ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Student Research Workshop. </p> <p>All other datasets used in the paper can be found in the following places:</p> <p>Cadec random: https://zenodo.org/record/55013#.XPE1MC1eN24<br> Cadec custom: https://yadi.sk/d/GZoWm1wBxzyW_w</p> <p>SMM4H dataset: in the paper "Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H) - 2017 shared task"<br> <br> Bibtex:</p> <p>@inproceedings{miftahutdinov2019,<br> title = "Deep Neural Models for Medical Concept Normalization in User-Generated Texts",<br> author = "Miftahutdinov, Zulfat and Tutubalina, Elena",<br> booktitle = "Proceedings of {ACL} 2019, Student Research Workshop",<br> month = jul,<br> year = "2019",<br> address = "Florence, Italy",<br> publisher = "Association for Computational Linguistics",<br> }</p>
Job satisfaction and performance orientation in German emergency medical service – a nationwide survey
<p>In a nationwide German cross-sectional questionnaire survey, we collected data on job satisfaction an perfomance orientation of paramedics in Germany.</p> <p>This file contains the underlying data set as a result of the online questionnaire.</p>
Working bibliography of South Asian medical literature
<p>Working bibliography of South Asian medical literature (2007).</p>
Psychometric properties of the World Health Organization's Quality of Life (WHOQOL-BREF) questionnaire in Serbian medical students
<p><strong>Psychometric properties of the World Health Organization's Quality of Life (WHOQOL-BREF) questionnaire in Serbian medical students </strong></p>
Multilingual Medical Corpora
<p>The amount of digital data derived from healthcare processes have increased tremendously in the last years. This applies especially to unstructured data, which are often hard to analyze due to the lack of available tools to process and extract information. Natural language processing is often used in medicine, but the majority of tools used by researchers are developed primarily for the English language. For developing and testing natural language processing methods, it is important to have a suitable corpus, specific to the medical domain that covers the intended target language. To improve the potential of natural language processing research, we developed tools to derive language specific medical corpora from publicly available text sources. n order to extract medicine-specific unstructured text data, openly available pub-lications from biomedical journals were used in a four-step process:(1) medical journal databases were scraped to download the articles,(2) the articles were parsed and consolidated into a single repository,(3) the content of the repository was de-scribed, and (4) the text data and the codes were released. In total, 93 969 articles were retrieved, with a word count of 83 868 501 in three different languages (German, English, and Spanish) from two medical journal databases Our results show that unstructured text data extraction from openly available medical journal databases for the construction of unified corpora of medical text data can be achieved through web scraping techniques.</p>
MedSegBench: A Comprehensive Benchmark for Medical Image Segmentation in Diverse Data Modalities
<p>We split the dataset into two parts due to the maximum uploaded file limit. You can find other data in Version 1.</p> <p>This dataset is an article study and is under evaluation.</p> <p><code>You can access the article on <a href="https://www.nature.com/articles/s41597-024-04159-2">Nature</a>.</code></p> <p><code>Trained model weights and detailed prediction results for each dataset (<a href="../records/13381081" target="_blank" rel="noopener">Zenodo</a>)</code></p>
Concept relevance metrics in the Medical Subject Headings (MeSH)
<p>In the MeSH concept relevance dataset, we define metrics to quantify relevance within this knowledge organization system and have applied them to the MeSH hierarchy. The research uses the 2022 PubMed collection, which contains over 33 million articles, and builds citation networks from January 2014 to December 2021. We quantify the relevance of MeSH concepts based on disruptiveness, influence, informativeness, usefulness, and concept relevance, using metrics such as disruption, graph centrality, entropy, category utility, and reciprocal rank fusion.</p>
Endorsement of reporting guidelines and clinical trial registration across urological medical journals: a cross-sectional study
Open the record for dataset details and reuse information.
Dataset for the paper "Social support and avoidance explain positive and negative effects of emotion recognition ability on well-being in medical students"
<p>Full reference of the paprer TBD</p>
Data from: Characteristics and outcomes of women utilizing emergency medical services for third-trimester pregnancy-related complaints in India: a prospective observational study
Objectives: Characterize the demographics, management, and outcomes of obstetric patients transported by emergency medical services (EMS). Design: Prospective observational study. Setting: Five Indian states utilizing a centralized EMS agency that transported 3.1 million pregnant women in 2014. Participants: This study enrolled a convenience sample of 1684 women in third trimester of pregnancy calling with a "pregnancy-related" complaint for free-of-charge ambulance transport. Calls were deemed "pregnancy-related" if categorized by EMS dispatchers as "pregnancy", "childbirth", "miscarriage", or "labor pains". Interfacility transfers, patients absent upon ambulance arrival, and patients refusing care were excluded. Main outcome measures: Emergency medical technician (EMT) interventions, method of delivery, and death. Results: The median age enrolled was 23 years (IQR 21-25). Women were primarily from rural/tribal areas (1550/1684 (92.0%)) and lower economic strata (1177/1684 (69.9%)). Time from initial call to hospital arrival was longer for rural/tribal compared to urban patients (66 min (IQR 51-84) vs 56 min (IQR 42-73), respectively, p<0.0001). EMTs assisted delivery in 44 women, delivering the placenta in 33/44 (75%), performing transabdominal uterine massage in 29/33 (87.9%), and administering oxytocin in none (0%). There were 1411 recorded deliveries. Most women delivered at a hospital (1212/1411 (85.9%)), however 126/1411 (8.9%) delivered at home following hospital discharge. Follow-up rates at 48 hours, 7 days, and 42 days were 95.0%, 94.4%, and 94.1%, respectively. Four women died, all within 48 hours. The cesarean section rate was 8.2% (116/1411). On multivariate regression analysis, women transported to private hospitals versus government primary health centers were less likely to deliver by cesarean section (odds ratio 0.14 (0.05 to 0.43)). Conclusions: Pregnant women from vulnerable Indian populations use free-of-charge EMS for impending delivery, making it integral to the health care system. Future research and health system planning should focus on strengthening and expanding EMS as a component of EmONC.
Data from: Sustainability of professionals' adherence to clinical practice guidelines in medical care: a systematic review
Objectives: To evaluate (1) the state of the art in sustainability research and (2) the outcomes of professionals' adherence to guideline recommendations in medical practice. Design: Systematic review. Data sources: Searches were conducted until August 2015 in MEDLINE, CINAHL, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL) and the Guidelines International Network (GIN) library. A snowball strategy, in which reference sections of other reviews and of included papers were searched, was used to identify additional papers. Eligibility criteria: Studies needed to be focused on sustainability and on professionals' adherence to clinical practice guidelines in medical care. Studies had to include at least 2 measurements: 1 before (PRE) or immediately after implementation (EARLY POST) and 1 measurement longer than 1 year after active implementation (LATE POST). Results: The search retrieved 4219 items, of which 14 studies met the inclusion criteria, involving 18 sustainability evaluations. The mean timeframe between the end of active implementation and the sustainability evaluation was 2.6 years (minimum 1.5–maximum 7.0). The studies were heterogeneous with respect to their methodology. Sustainability was considered to be successful if performance in terms of professionals' adherence was fully maintained in the late postimplementation phase. Long-term sustainability of professionals' adherence was reported in 7 out of 18 evaluations, adherence was not sustained in 6 evaluations, 4 evaluations showed mixed sustainability results and in 1 evaluation it was unclear whether the professional adherence was sustained. Conclusions: (2) Professionals' adherence to a clinical practice guideline in medical care decreased after more than 1 year after implementation in about half of the cases. (1) Owing to the limited number of studies, the absence of a uniform definition, the high risk of bias, and the mixed results of studies, no firm conclusion about the sustainability of professionals' adherence to guidelines in medical practice can be drawn.
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.