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Medical imaging (X-ray, CT, MRI), electronic health records, clinical trials, ECG/EEG, pathology
13,209 datasets
A study of 150 patients undergoing prolonged orotracheal intubation, evaluating factors associated with post-extubation dysphagia. The dataset likely contains patient records with variables including age, mortality, intubation days, sessions to introduce oral diet, and hospital discharge days. The research was conducted by Fernanda Chiarion Sassi and published via the paperswithcode platform.
Mehmet İnanır's research dataset contains electrocardiographic parameters for 46 patients with Type 1 Diabetes Mellitus and 46 matched healthy controls. The data includes variables such as QT, QTc, QTd, Tp-e, and JTc intervals, along with patient HbA1c levels and disease duration. It was used to analyze correlations between diabetes markers and ventricular repolarization predictors.
A prospective hospital-based study of one hundred antenatal women conducted at Guntur Government Hospital from October 2007 to October 2008. The research examines the influence of oligohydramnios on maternal and perinatal outcomes, including rates of caesarean sections and adverse neonatal events. The dataset was authored by Iosr Journals and shared via the paperswithcode platform.
Phillipe Abreu's study from 2017 includes data from a prospective randomized trial of 33 patients undergoing elective colorectal cancer surgery. The dataset likely contains patient outcomes comparing conventional and abbreviated preoperative fasting protocols, measuring time to oral intake, length of hospital stay, and associated costs. The study found a statistically significant reduction in time to complete oral intake and hospital costs for the abbreviated fasting group.
1995 data from the National Hospital Ambulatory Medical Care Survey, which was inaugurated in 1992 to fill a gap in U.S. ambulatory care data. It provides national estimates from samples of patient records selected from 391 emergency departments and 230 outpatient departments. The survey was conducted by the United States Department of Health and Human Services, National Center for Health Statistics.
Approximately 16,000 synthetic electronic medical records and doctor-patient consultation dialogues designed for training and evaluating LLM-based psychiatric diagnostic decision support systems. The dataset was created by XuShihao6715 and its demographically aligned distributions are intended to reflect real-world clinical settings. The dataset page was last updated on February 10, 2026.
A dataset titled 'best_swin_small_dermatology' was published on Kaggle. The title suggests it contains images related to dermatology, likely for computer vision tasks. The dataset's specific scale, origin, and creation date are not provided in the available metadata.
Checkpoints for a model named ECG-DETR-Wave2, likely for electrocardiogram (ECG) signal analysis. The dataset is hosted on Kaggle, but its specific contents, size, and creation details are not provided. The author, organization, and last update date are unknown.
A collection of model checkpoints for a task related to ECG signal classification. The dataset is hosted on Kaggle and appears to be derived from the MIT-BIH Arrhythmia Database, a standard benchmark in biomedical signal processing. Its specific content and scope require verification after download.
Doctor-patient_custom_dataset is a dataset hosted on Kaggle. Its title suggests it contains records of interactions between doctors and patients. The dataset's specific content, size, and origin are not detailed in the available metadata.
A dataset related to fertility diagnosis, likely containing clinical or diagnostic information. It is hosted on the Kaggle platform. The specific source, collection method, and temporal coverage are not detailed in the available metadata.
19 clinical trials assessing psychological and pharmacological interventions to prevent PTSD in adults were systematically reviewed. The analysis, conducted by RTI International and led by Gerald Gartlehner, synthesized evidence from multiple databases covering literature from 1980 to July 2012. It found reliable evidence lacking for most interventions, with brief trauma-focused cognitive behavioral therapy showing the most promise.
Patient1 is a medical dataset hosted on Kaggle. The dataset's specific content, size, and provenance are not detailed in the provided metadata. Its title suggests it likely contains information related to one or more patients.
Pat Croskerry's report reviews cognitive and affective influences on diagnostic reasoning. The text analyzes determinants of cognitive dispositions to respond (CDRs) and affective dispositions to respond (ADRs), as well as de-biasing strategies. It aims to provide insight into factors leading to delayed or missed diagnoses.
Committee 3 of the ICRP provides advisory text on the concept and implementation of Diagnostic Reference Levels (DRLs) for managing patient radiation doses in medical imaging. The advice outlines principles for regional, national, and local authorized bodies to apply DRLs flexibly within their jurisdictions. The dataset consists of textual guidance published by the International Commission on Radiological Protection.
LogiCore Ultra tracks high-density reasoning and efficiency. The dataset likely contains metrics related to logical processes and performance outcomes. Its origin and specific scale are unknown.
Combined Mango Leaf Disease Dataset is a collection of images related to mango plant health, sourced from Kaggle. The dataset likely contains visual samples of leaves for the purpose of disease identification. Specific details on the number of images, collection methods, and licensing are not provided in the available metadata.
MLD-BD is a dataset for detecting diseases in mango leaves, sourced from Bangladesh. It is hosted on Kaggle. The specific contents, scale, and collection details are not provided in the available metadata.
MIMIC-III is a widely-used critical care database from Beth Israel Deaconess Medical Center. This subset likely contains 10,000 patient records spanning the first 384 hours of ICU stays. The data is hosted on Kaggle, a platform for data science competitions and projects.
MIMIC-III is a large, freely-available database comprising de-identified health-related data associated with patients who stayed in critical care units of the Beth Israel Deaconess Medical Center. The dataset is hosted on Kaggle, a platform for data science and machine learning competitions. The specific content and scope of this particular Kaggle version require verification after download.