Michael J. McCarthy

METHODS, APPARATUSES AND COMPUTER PROGRAM PRODUCTS FOR PREDICTING MEASUREMENT DEVICE PERFORMANCE

MODEL-BASED RISK PREDICTION AND TREATMENT PATHWAY PRIORITIZATION

DETERMINING MISSING DATA CLASSIFICATIONS BY CORRELATING PREDICTION OUTPUTS GENERATED BY MACHINE LEARNING PREDICTIVE SYSTEMS

SYSTEMS AND METHODS FOR OPTIMIZING A SAMPLE SIZE OF AN INVESTIGATION

MACHINE LEARNING TECHNIQUES FOR GENERATING IMPACT MEASURES USING NONLINEAR CAUSAL INFERENCE AND PREDICTIVE RISK SCORES

SYSTEMS AND METHODS FOR INTELLIGENT SYSTEM RESOURCE ALLOCATION

IMAGE PROCESSING TECHNIQUES FOR GENERATING PREDICTIONS

SYSTEMS AND METHODS FOR IMPROVED PROVIDER PROCESSES USING CLAIM LIKELIHOOD RANKING

ENTITY-LEVEL COHORT FORCASTING AND SIMULATION INTERFACES

MACHINE LEARNING TECHNIQUES FOR MAINTAINING OPTIMUM NUMBER OF RESOURCES FOR DISTRUBUTION TO SELECTED ENTITIES BASED ON NON-CAUSAL INFERENCE

CAUSAL INFERENCE FOR OPTIMIZED RESOURCE ALLOCATION

EFFICIENT MULTILABEL CLASSIFICATION BY CHAINING ORDERED CLASSIFIERS AND OPTIMIZING ON UNCORRELATED LABELS

Machine learning techniques for generating disease prediction utilizing cross-temporal semi-structured input data

Enhanced calibration of imaging device output

HYBRID MACHINE LEARNING TECHNIQUES USING CO-OCCURRENCE-BASED REPRESENTATIONS AND TEMPORAL REPRESENTATIONS

CROSS-TEMPORAL ENCODING MACHINE LEARNING MODELS

METHODS, APPARATUSES AND COMPUTER PROGRAM PRODUCTS FOR PREDICTING MEASUREMENT DEVICE PERFORMANCE

INTERACTABLE AND INTERPRETABLE TEMPORAL DISEASE RISK PROFILES

TECHNIQUES FOR MEASUREMENT DEVICE CALIBRATION MANAGEMENT USING CALIBRATION OFFSET GENERATION MACHINE LEARNING MODELS

Predictive data analysis with cross-temporal probabilistic updates

PREDICTIVE DATA ANALYSIS WITH PROBABILISTIC UPDATES