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An Artificial Intelligence Fusion Model for Cardiac Emergency Decision Making: Application and Robustness Analysis

An Artificial Intelligence Fusion Model for Cardiac Emergency Decision Making: Application and Robustness Analysis

In terms of inference knowledge transfer, for all the attributes obtained in the decision-making process of cardiac emergency, using attribute reduction, the initial inference state space S formed, eliminating attribute redundancy and retaining the relevant

Liheng Gong, Xiao Zhang, Ling Li

JMIR Med Inform 2020;8(7):e19428

A Web-Based Intervention to Reduce Decision Conflict Regarding HIV Pre-Exposure Prophylaxis: Protocol for a Clinical Trial

A Web-Based Intervention to Reduce Decision Conflict Regarding HIV Pre-Exposure Prophylaxis: Protocol for a Clinical Trial

For example, we will address aim 1’s question 1 by including items that explore the perceived relevance of PrEP to their clinical situation, decisional conflict, and clarity regarding risk-reduction options and potential outcomes.

LaRon E Nelson, Wale Ajiboye, Pascal Djiadeu, Apondi J Odhiambo, Cheryl Pedersen, S Raquel Ramos, Aisha Lofters, Lawrence Mbuagbaw, Geoffrey Williams

JMIR Res Protoc 2020;9(6):e15080

Impact of Early Electronic Prescribing on Pharmacists’ Clarification Calls in Four Community Pharmacies Located in St John’s, Newfoundland

Impact of Early Electronic Prescribing on Pharmacists’ Clarification Calls in Four Community Pharmacies Located in St John’s, Newfoundland

Using this tool, pharmacists were asked to document the prescription type received (handwritten or EMR generated), how the prescription arrived at the pharmacy (brought in by the patient or faxed), name of drug(s) prescribed, which drug(s) required clarification

Jennifer L Phillips, Jennifer M Shea, Valerie Leung, Don MacDonald

JMIR Med Inform 2015;3(1):e2