A probabilistic model for predicting the probability of no-show in hospital appointments.
about
Patient no-show predictive model development using multiple data sources for an effective overbooking approachPredicting appointment misses in hospitals using data analytics.Predicting Non-Adherence with Outpatient Colonoscopy Using a Novel Electronic Tool that Measures Prior Non-Adherence.A Multi-way Multi-task Learning Approach for Multinomial Logistic Regression*. An Application in Joint Prediction of Appointment Miss-opportunities across Multiple Clinics.Preventing Endoscopy Clinic No-Shows: Prospective Validation of a Predictive Overbooking Model.Time dependent patient no-show predictive modelling development.Patient navigation based on predictive modeling decreases no-show rates in cancer care.Dynamic Scheduling for Veterans Health Administration Patients using Geospatial Dynamic Overbooking.Targeted Reminder Phone Calls to Patients at High Risk of No-Show for Primary Care Appointment: A Randomized Trial.
P2860
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P2860
A probabilistic model for predicting the probability of no-show in hospital appointments.
description
2011 nî lūn-bûn
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name
A probabilistic model for predicting the probability of no-show in hospital appointments.
@en
A probabilistic model for predicting the probability of no-show in hospital appointments.
@nl
type
label
A probabilistic model for predicting the probability of no-show in hospital appointments.
@en
A probabilistic model for predicting the probability of no-show in hospital appointments.
@nl
prefLabel
A probabilistic model for predicting the probability of no-show in hospital appointments.
@en
A probabilistic model for predicting the probability of no-show in hospital appointments.
@nl
P2093
P2860
P1476
A probabilistic model for predicting the probability of no-show in hospital appointments
@en
P2093
Adel Alaeddini
P2860
P304
P356
10.1007/S10729-011-9148-9
P577
2011-02-01T00:00:00Z