1 citations · 1 across the 3 of their papers we have counts for
3 papers
Explainable Counterfactual Reasoning in Depression Medication Selection at Multi-Levels (Personalized and Population)
Xinyu Qin, Mark H. Chignell, Alexandria Greifenberger +5
Background: This study investigates how variations in Major Depressive Disorder (MDD) symptoms, quantified by the Hamilton Rating Scale for Depression (HAM-D), causally influence t…
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis
Lu Wang, Haoyan Jiang, Mark Chignell
While many machine learning methods have been used for medical prediction and risk factor analysis on healthcare data, most prior research has involved single-task learning (STL) m…
Answer Graph: Factorization Matters in Large Graphs
Zahid Abul-Basher, Nikolay Yakovets, Parke Godfrey +2
Our answer-graph method to evaluate SPARQL conjunctive queries (CQs) finds a factorized answer set first, an answer graph, and then finds the embedding tuples from this. This appro…