A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs

• We developed a clinical decision support system for vital sign predictions.• We used patient-specific vital sing correlations for detecting future value.• We utilized multi-label classification algorithms for classifier design.• Our developed tool can help doctors in diagnostic decision ma king.• Our developed model can support many patients simultaneously.

Source: Computer Methods and Programs in Biomedicine - October 26, 2016 Category: Bioinformatics Authors: Abdur Rahim Mohammad Forkan, Ibrahim Khalil Source Type: research