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An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design

BMC medical informatics and decision making, 2021-02, Vol.21 (1), p.43-24, Article 43

2021

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Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status

Journal of biomedical informatics, 2019-09, Vol.97, p.103264-103264, Article 103264

2019

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A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data

Computer methods and programs in biomedicine, 2021-11, Vol.211, p.106394-106394, Article 106394

2021

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Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer

PloS one, 2014-04, Vol.9 (4), p.e95150-e95150

2014

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Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study

Translational psychiatry, 2021-12, Vol.11 (1), p.642-642, Article 642

2021

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Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets

Journal of big data, 2021-08, Vol.8 (1), p.1-18, Article 108

2021

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Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study

Journal of medical Internet research, 2023-07, Vol.25 (1), p.e46165-e46165

2023

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Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining

Computers in biology and medicine, 2016-02, Vol.69, p.61-70

2016

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Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

Studies in health technology and informatics, 2023, Vol.302, p.129

2023

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Illness Beliefs Predict Mortality in Patients with Diabetic Foot Ulcers

PloS one, 2016-04, Vol.11 (4), p.e0153315-e0153315

2016

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FoodWiki: Ontology-Driven Mobile Safe Food Consumption System

TheScientificWorld, 2015, Vol.2015 (2015), p.1-22

2015

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Risk Factors for Interstitial Cystitis in the General Population and in Individuals With Depression

International Neurourology Journal, 2019, 23(1), , pp.40-45

2019

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Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability

BMC medical informatics and decision making, 2022-05, Vol.22 (1), p.142-142, Article 142

2022

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Treatment resistant depression incidence estimates from studies of health insurance databases depend strongly on the details of the operating definition

Heliyon, 2018-07, Vol.4 (7), p.e00707-e00707, Article e00707

2018

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Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs

Drug safety, 2014-03, Vol.37 (3), p.163-170

2014

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A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery

IEEE journal of biomedical and health informatics, 2014-03, Vol.18 (2), p.537-547

2014

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Finding factors that predict treatment‐resistant depression: Results of a cohort study

Depression and anxiety, 2018-07, Vol.35 (7), p.668-673

2018

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Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care

Cancer epidemiology, biomarkers & prevention, 2023-03, Vol.32 (3), p.337-343

2023

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Finding treatment‐resistant depression in real‐world data: How a data‐driven approach compares with expert‐based heuristics

Depression and anxiety, 2018-03, Vol.35 (3), p.220-228

2018

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Frequency of rehospitalization after hospitalization for suicidal ideation or suicidal behavior in patients with depression

Psychiatry research, 2020-03, Vol.285, p.112810-112810, Article 112810

2020

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Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery

Value in health, 2019-05, Vol.22 (5), p.580-586

2019

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Using simulation to incorporate dynamic criteria into multiple criteria decision-making

The Journal of the Operational Research Society, 2018-07, Vol.69 (7), p.1021-1032

2018

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T115. Perinatal Depression: Majority of Onset Occurs Prior to Delivery, Not Afterward

Biological psychiatry (1969), 2018-05, Vol.83 (9), p.S173-S173

2018

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Medical Conditions Predictive of Self-Reported Poor Health: Retrospective Cohort Study

JMIR public health and surveillance, 2020-01, Vol.6 (1), p.e13018-e13018

2020

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An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design

Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status

A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data

Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancer

Predictors of diagnostic transition from major depressive disorder to bipolar disorder: a retrospective observational network study

Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets

Privacy-Preserving Federated Model Predicting Bipolar Transition in Patients With Depression: Prediction Model Development Study

Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining

Does Using a Stacking Ensemble Method to Combine Multiple Base Learners Within a Database Improve Model Transportability?

Illness Beliefs Predict Mortality in Patients with Diabetic Foot Ulcers

FoodWiki: Ontology-Driven Mobile Safe Food Consumption System

International cohort study indicates no association between alpha-1 blockers and susceptibility to COVID-19 in benign prostatic hyperplasia patients

Risk Factors for Interstitial Cystitis in the General Population and in Individuals With Depression

Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability

Treatment resistant depression incidence estimates from studies of health insurance databases depend strongly on the details of the operating definition

Signalling Paediatric Side Effects using an Ensemble of Simple Study Designs

A Novel Semisupervised Algorithm for Rare Prescription Side Effect Discovery

Finding factors that predict treatment‐resistant depression: Results of a cohort study

Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care

Finding treatment‐resistant depression in real‐world data: How a data‐driven approach compares with expert‐based heuristics

Frequency of rehospitalization after hospitalization for suicidal ideation or suicidal behavior in patients with depression

Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery

Using simulation to incorporate dynamic criteria into multiple criteria decision-making

T115. Perinatal Depression: Majority of Onset Occurs Prior to Delivery, Not Afterward

Medical Conditions Predictive of Self-Reported Poor Health: Retrospective Cohort Study

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