Cargando…

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

BACKGROUND: Depression that does not respond to antidepressants is treatment‐resistant depression (TRD). TRD definitions include assessments of treatment response, dose and duration, and implementing these definitions in claims databases can be challenging. We built a data‐driven TRD definition and...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cepeda, M. Soledad, Reps, Jenna, Fife, Daniel, Blacketer, Clair, Stang, Paul, Ryan, Patrick
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2017
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873404/ https://www.ncbi.nlm.nih.gov/pubmed/29244906 http://dx.doi.org/10.1002/da.22705

Ejemplares similares

Treatment resistant depression incidence estimates from studies of health insurance databases depend strongly on the details of the operating definition
por: Fife, Daniel, et al.
Publicado: (2018)

Corrigendum to “Treatment resistant depression incidence estimates from studies of health insurance databases depend strongly on the details of the operating definition” [Heliyon 4 (7) (July 2018) e00707]
por: Fife, Daniel, et al.
Publicado: (2019)

Finding factors that predict treatment‐resistant depression: Results of a cohort study
por: Cepeda, M. Soledad, et al.
Publicado: (2018)

Increasing trust in real-world evidence through evaluation of observational data quality
por: Blacketer, Clair, et al.
Publicado: (2021)

Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data
por: Reps, Jenna Marie, et al.
Publicado: (2020)

Medical Conditions Predictive of Self-Reported Poor Health: Retrospective Cohort Study
por: Cepeda, M Soledad, et al.
Publicado: (2020)

Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care
por: Chandran, Urmila, et al.
Publicado: (2023)

Association of flossing/inter‐dental cleaning and periodontitis in adults
por: Cepeda, M. Soledad, et al.
Publicado: (2017)

Stroke Risk Among Non-Elderly Users of Haloperidol or First-Generation Antipsychotics vs Second-Generation Antipsychotics: A Cohort Study from a US Health Insurance Claims Database
por: Fife, Daniel, et al.
Publicado: (2021)

FocusHeuristics – expression-data-driven network optimization and disease gene prediction
por: Ernst, Mathias, et al.
Publicado: (2017)

Special issue on “real-world optimization problems and meta-heuristics”
por: Mirjalili, Seyedali
Publicado: (2020)

Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases
por: Chandran, Urmila, et al.
Publicado: (2019)

Developing Predictive Models to Determine Patients in End-of-Life Care in Administrative Datasets
por: Swerdel, Joel N., et al.
Publicado: (2020)

Risk Factors for Interstitial Cystitis in the General Population and in Individuals With Depression
por: Cepeda, M. Soledad, et al.
Publicado: (2019)

Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary
por: Fortin, Stephen P., et al.
Publicado: (2022)

Correction to: Adaptation and validation of a coding algorithm for the Charlson Comorbidity Index in administrative claims data using the SNOMED CT standardized vocabulary
por: Fortin, Stephen P., et al.
Publicado: (2023)

A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
por: Khalid, Sara, et al.
Publicado: (2021)

Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data
por: Reps, Jenna M., et al.
Publicado: (2019)

Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data
por: Reps, Jenna M, et al.
Publicado: (2021)

Treatment patterns of patients diagnosed with major depressive disorder and suicidal ideation or attempt: a U.S. population-based study utilizing real-world data
por: Kern, David M., et al.
Publicado: (2021)

How to solve it: modern heuristics
por: Michalewicz, Zbigniew, et al.
Publicado: (2000)

How many online workers are there in the world? A data-driven assessment
por: Kässi, Otto, et al.
Publicado: (2021)

Transitioning to a Data Driven Mental Health Practice: Collaborative Expert Sessions for Knowledge and Hypothesis Finding
por: Menger, Vincent, et al.
Publicado: (2016)

Aiding Grasp Synthesis for Novel Objects Using Heuristic-Based and Data-Driven Active Vision Methods
por: Natarajan, Sabhari, et al.
Publicado: (2021)

Big data-driven world
por: Kravets, Alla G
Publicado: (2018)

Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists
por: Kern, David M., et al.
Publicado: (2021)

Integrating Expert Knowledge with Data in Bayesian Networks: Preserving Data-Driven Expectations when the Expert Variables Remain Unobserved
por: Constantinou, Anthony Costa, et al.
Publicado: (2016)

Mastering Python data analysis: become an expert at using Python for advanced statistical analysis of data using real-world examples
por: Persson, Magnus Vilhelm, et al.
Publicado: (2016)

PILGRM: an interactive data-driven discovery platform for expert biologists
por: Greene, Casey S., et al.
Publicado: (2011)

Prolonged-release fampridine in multiple sclerosis: clinical data and real-world experience. Report of an expert meeting
por: Albrecht, Philipp, et al.
Publicado: (2018)

Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review
por: Sylvestre, Emmanuelle, et al.
Publicado: (2022)

Rejecting unfairness: emotion-driven reaction or cognitive heuristic?
por: Civai, Claudia
Publicado: (2013)

Rule-based expert systems: the MYCIN experiments of the Stanford Heuristic programming project
por: Shortliffe, Edward Hance, et al.
Publicado: (1984)

Safety of Aflibercept in Metastatic Colorectal Cancer: A Literature Review and Expert Perspective on Clinical and Real-World Data
por: Muro, Kei, et al.
Publicado: (2020)

Quality Criteria for Real-world Data in Pharmaceutical Research and Health Care Decision-making: Austrian Expert Consensus
por: Klimek, Peter, et al.
Publicado: (2022)

Individualized Short-Term Electric Load Forecasting Using Data-Driven Meta-Heuristic Method Based on LSTM Network
por: Sun, Lichao, et al.
Publicado: (2022)

Indicator-driven data calibration of expert interviews in a configurational study
por: Naims, Henriette, et al.
Publicado: (2022)

Sunitinib for Metastatic Renal Cell Carcinoma: A Systematic Review and Meta-Analysis of Real-World and Clinical Trials Data
por: Moran, Michael, et al.
Publicado: (2019)

Use of Clinical Data Interchange Standards Consortium (CDISC) Standards for Real-world Data: Expert Perspectives From a Qualitative Delphi Survey
por: Facile, Rhonda, et al.
Publicado: (2022)

Cellular Environment and Phenotypic Heterogeneity: How Data-Driven Modeling Finds the Smoking Gun
por: Guilbert, Marie, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_c68tr9srte6e19su176k50vear