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54 results for “clinical decision support system”
Enhanced Dynamic Clinical Decision Support System Pragmatic Trial (E-DYNAMIC)
ClinicalTrials.gov study NCT03826758. IPD Sharing: YES. Countries: 1. Publications: 8.
Artificial Intelligent Clinical Decision Support System Simulation Center Study for Technology Acceptance
ClinicalTrials.gov study NCT05816473. IPD Sharing: NO. Countries: 1. Publications: 3.
(CONCERN) Clinical Decision Support (CDS) System
ClinicalTrials.gov study NCT03911687. IPD Sharing: NO. Countries: 1. Publications: 95.
Data from: A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis
Objective: A Clinical Decision Support System (CDSS) that can amass Electronic Health Record (EHR) and other patient data holds promise to provide accurate classification and guide treatment choices. Our objective is to develop the Decision Support System for Making Personalized Assessments and Recommendations Concerning Breast Cancer Patients (DPAC), which is a CDSS learned from data that recommends the optimal treatment decisions based on a patient's features. Method: We developed a Bayesian network architecture called Causal Modeling with Internal Layers (CAMIL), and an algorithm called Treatment Feature Interactions (TFI), which learns from data the interactions needed in a CAMIL model. Using the TFI algorithm, we learned interactions for six treatments from the Lynn Sage Data Set (LSDS). We created a CAMIL model using these interactions, resulting in a DPAC which recommends treatments towards preventing 5-year breast cancer metastasis. Results: In a 5-fold cross-validation analysis, we compared the probability of being metastasis free in 5 years for patients who made decisions recommended by DPAC to those who did not. These probabilities are (the probability for those making the decisions appears first): chemotherapy (.938, .872); breast/chest wall radiation (.939, .902); nodal field radiation (.940, .784); antihormone (.941, .906); HER2 inhibitors (.934, .880); neadjuvant therapy (.931, .837). In an application of DPAC to the independent METABRIC dataset, the probabilities for chemotherapy were (.845, .788). Discussion: Patients who took the advice of DPAC had, as a group, notably better outcomes than those who did not. We conclude that DPAC is effective at amassing and analyzing data towards treatment recommendations. Some of the findings in DPAC are controversial. For example, DPAC says that chemotherapy increases the chances of metastasis for many node negative patients. This controversy shows the importance of developing a conclusive version of DPAC to ensure we provide patients with the best patient-specific treatment recommendations.
DETECT-IP: a Clinical Decision Support System and Intelligent Procedures to Counter Some Adverse Drug Events in Older Hospital Patients
ClinicalTrials.gov study NCT05923983. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Improvement Adherence to Clinical Practice Guidelines Using the Clinical Decision Support System in Patients With Hypertension and Atrial Fibrillation
ClinicalTrials.gov study NCT05367141. IPD Sharing: NO. Countries: 1. Publications: 0.
Development of a Clinical Decision Support System With Artificial Intelligence for Cancer Care
ClinicalTrials.gov study NCT04675138. IPD Sharing: UNDECIDED. Countries: 6. Publications: 1.
Evaluation of Use of Clinical Decision Support System in HIV Care in Resource Constrained Settings
ClinicalTrials.gov study NCT01634802. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Evaluation of an Electronic CKD Clinical Decision Support System (CDSS) in Clinical Care
ClinicalTrials.gov study NCT02925962. IPD Sharing: NO. Countries: 1. Publications: 6.
A Qualitative Study Examining Clinical Decision Support System Adoption Among Hospital Clinicians
ClinicalTrials.gov study NCT07398235. IPD Sharing: NO. Countries: 1. Publications: 5.
Clinical validatiOn of an AI-based DEcision Support System for Robotic Upper Limb Rehabilitation in Patients With Stroke. A CO-AIDER Study.
ClinicalTrials.gov study NCT07199322. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Development of Clinical Decision Support System for Severe Patients With Polytrauma
ClinicalTrials.gov study NCT06323096. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Evaluation of a Clinical Decision Support System for Fungal Infections
ClinicalTrials.gov study NCT05656157. IPD Sharing: NO. Countries: 1. Publications: 3.
A Clinical Decision Support System and Patient Portal for Preventing Medication-related Falls in Older Patients
ClinicalTrials.gov study NCT05449470. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Clinical Risk Assesment of CS-1 Decision Support System
ClinicalTrials.gov study NCT00502645. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Telerehabilitation of Balance Clinical and Economic Decision Support System
ClinicalTrials.gov study NCT06534164. IPD Sharing: YES. Countries: 5. Publications: 0.
ePneumonia: Development of an Electronic Clinical Decision Support System for Community-Onset Pneumonia
ClinicalTrials.gov study NCT03358342. IPD Sharing: NO. Countries: 1. Publications: 1.
Clinical Decision Support System for Quality Assurance in Potassium-Increasing Drug-Drug-Interactions
ClinicalTrials.gov study NCT02020317. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis
Open the record for dataset details and reuse information.
Clinical Decision Support System for Remote Monitoring of Cardiovascular Disease Patients
ClinicalTrials.gov study NCT05196802. IPD Sharing: YES. Countries: 0. Publications: 11.
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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.