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356
datasets available to search
ShareScore release 0.9.0
Dataset results
356 results for “Machine learning models”
Multivariate Analysis and Machine Learning Model Risk Prediction of Recurrent Pain After PLIF Surgery for Degenerative Lumbar Spine Disease At Long-term Follow-up
ClinicalTrials.gov study NCT06622356. IPD Sharing: YES. Countries: 1. Publications: 0.
A Machine Learning-based Estimated Survival Model
ClinicalTrials.gov study NCT06432283. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Machine Learning-Based Model for Individualized Drug Dose Prediction for Propofol
ClinicalTrials.gov study NCT06703879. IPD Sharing: NO. Countries: 1. Publications: 0.
Patient Centered Machine Learning Model for Bleeding and Ischemic Risk
ClinicalTrials.gov study NCT06089304. IPD Sharing: NO. Countries: 1. Publications: 0.
Risk Factors and Machine Learning Model for Proton Pump Inhibitor Related Acute Kidney Injury
ClinicalTrials.gov study NCT05533619. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development and Validation of Interpretable Machine Learning Models Incorporating Paraspinal Muscle Quality for to Predict Cage Subsidence Risk Followingposterior Lumbar Interbody Fusion
ClinicalTrials.gov study NCT06888739. IPD Sharing: YES. Countries: 1. Publications: 0.
Risk Factors and Machine Learning Model for Beta-Lactam Drugs Related Acute Kidney Injury
ClinicalTrials.gov study NCT05533606. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Physiological Validation of Current Machine Learning Models for Hemodynamic Instability in Humans
ClinicalTrials.gov study NCT03927066. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Voice Analysis in Asthmatic Patients With Machine Learning Models
ClinicalTrials.gov study NCT06820671. IPD Sharing: NO. Countries: 1. Publications: 0.
Predicting Symptom Trajectories After Thoracoscopic Lung Cancer Surgery Using an Interpretable Machine Learning Model
ClinicalTrials.gov study NCT06771947. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Prediction Model for PPCs in Patients Undergoing Lung Transplantation Using Machine Learning
ClinicalTrials.gov study NCT06218758. IPD Sharing: NO. Countries: 1. Publications: 0.
Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency
GEO Series GSE280345. Zea mays. 58 samples. Type: Expression profiling by high throughput sequencing.
Epigenetic signature of human induced pluripotent stem cells identified with the linear machine learning model
GEO Series GSE141521. Homo sapiens. 18 samples. Type: Methylation profiling by array.
Machine Learning Models Predict the Primary Sites of Head and Neck Squamous Cell Carcinoma Metastases Based on DNA Methylation
GEO Series GSE171994. Homo sapiens. 49 samples. Type: Methylation profiling by genome tiling array.
Model-to-crop conserved NUE Regulons enhance machine learning predictions of nitrogen use efficiency
GEO Series GSE280353. Arabidopsis thaliana; Zea mays. 354 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Long-term trends of ambient nitrate (NO3-) concentrations across China based on ensemble machine-learning models
<p>The monthly NO3- concentrations across China during 2005-2015</p>
Efficient multiscale-model construction using machine learning: introducing the CarveAdornCurate cloud-based platform
Open the record for dataset details and reuse information.
External, Multicentre Validation of a Machine-Learning Model to Predict Colonic Adenoma in Indian Adults
ClinicalTrials.gov study NCT07329816. IPD Sharing: NO. Countries: 0. Publications: 0.
Machine Learning Model Guided by TLS Predicts Survival and Immune Features in Gastric Cancer
ClinicalTrials.gov study NCT06979817. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Sex-Specific Machine Learning Models to Predict Distant Metastasis in Liver Cancer
ClinicalTrials.gov study NCT07386639. IPD Sharing: NO. Countries: 0. 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.