10 citations · 18 across the 4 of their papers we have counts for
4 papers
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Munib Mesinovic, Peter Watkinson, Tingting Zhu
Recent advancements in AI applications to healthcare have shown incredible promise in surpassing human performance in diagnosis and disease prognosis. With the increasing complexit…
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients
Munib Mesinovic, Peter Watkinson, Tingting Zhu
Heart attack remain one of the greatest contributors to mortality in the United States and globally. Patients admitted to the intensive care unit (ICU) with diagnosed heart attack…
Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease
Henrique Aguiar, Mauro Santos, Peter Watkinson +1
Recent years have seen an increased focus into the tasks of predicting hospital inpatient risk of deterioration and trajectory evolution due to the availability of electronic patie…
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed el-Bouri, David Eyre, Peter Watkinson +2
Accurate and reliable prediction of hospital admission location is important due to resource-constraints and space availability in a clinical setting, particularly when dealing wit…