Cargando…

Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment

BACKGROUND: The population-based assessment of patient-centered outcomes (PCOs) has been limited by the efficient and accurate collection of these data. Natural language processing (NLP) pipelines can determine whether a clinical note within an electronic medical record contains evidence on these da...

Descripción completa

Detalles Bibliográficos
Autores principales:	Banerjee, Imon, Li, Kevin, Seneviratne, Martin, Ferrari, Michelle, Seto, Tina, Brooks, James D, Rubin, Daniel L, Hernandez-Boussard, Tina
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2019
Materias:	Research and Applications
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6482003/ https://www.ncbi.nlm.nih.gov/pubmed/31032481 http://dx.doi.org/10.1093/jamiaopen/ooy057

Ejemplares similares

Architecture and Implementation of a Clinical Research Data Warehouse for Prostate Cancer
por: Seneviratne, Martin G., et al.
Publicado: (2018)

Phenotyping severity of patient‐centered outcomes using clinical notes: A prostate cancer use case
por: Bozkurt, Selen, et al.
Publicado: (2020)

Weakly supervised temporal model for prediction of breast cancer distant recurrence
por: Sanyal, Josh, et al.
Publicado: (2021)

Clinical Documentation to Predict Factors Associated with Urinary Incontinence Following Prostatectomy for Prostate Cancer
por: Li, Kevin, et al.
Publicado: (2020)

Extracting Patient-Centered Outcomes from Clinical Notes in Electronic Health Records: Assessment of Urinary Incontinence After Radical Prostatectomy
por: Gori, Davide, et al.
Publicado: (2019)

Weakly supervised spatial relation extraction from radiology reports
por: Datta, Surabhi, et al.
Publicado: (2023)

Not so weak PICO: leveraging weak supervision for participants, interventions, and outcomes recognition for systematic review automation
por: Dhrangadhariya, Anjani, et al.
Publicado: (2023)

Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study
por: Bozkurt, Selen, et al.
Publicado: (2019)

Real world evidence in cardiovascular medicine: ensuring data validity in electronic health record-based studies
por: Hernandez-Boussard, Tina, et al.
Publicado: (2019)

Expanding the Secondary Use of Prostate Cancer Real World Data: Automated Classifiers for Clinical and Pathological Stage
por: Bozkurt, Selen, et al.
Publicado: (2022)

Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm
por: Bozkurt, Selen, et al.
Publicado: (2019)

Deep Learning Approaches for Predicting Glaucoma Progression Using Electronic Health Records and Natural Language Processing
por: Wang, Sophia Y., et al.
Publicado: (2022)

Longitudinal analysis of pain in patients with metastatic prostate cancer using natural language processing of medical record text
por: Heintzelman, Norris H, et al.
Publicado: (2013)

Assessment of a Clinical Trial–Derived Survival Model in Patients With Metastatic Castration-Resistant Prostate Cancer
por: Coquet, Jean, et al.
Publicado: (2021)

Natural language processing for automated annotation of medication mentions in primary care visit conversations
por: Ganoe, Craig H, et al.
Publicado: (2021)

Predicting inadequate postoperative pain management in depressed patients: A machine learning approach
por: Parthipan, Arjun, et al.
Publicado: (2019)

Natural language processing to identify reasons for sex disparity in statin prescriptions
por: Witting, Celeste, et al.
Publicado: (2023)

Merging heterogeneous clinical data to enable knowledge discovery
por: Seneviratne, Martin G., et al.
Publicado: (2019)

INDRA-IPM: interactive pathway modeling using natural language with automated assembly
por: Todorov, Petar V, et al.
Publicado: (2019)

A qualitative analysis of communication workflows between adult day service centers and primary care providers
por: Zhong, Jie, et al.
Publicado: (2021)

Using rule-based natural language processing to improve disease normalization in biomedical text
por: Kang, Ning, et al.
Publicado: (2013)

Criteria2Query: a natural language interface to clinical databases for cohort definition
por: Yuan, Chi, et al.
Publicado: (2019)

Natural language processing for abstraction of cancer treatment toxicities: accuracy versus human experts
por: Hong, Julian C, et al.
Publicado: (2020)

Natural language processing systems for pathology parsing in limited data environments with uncertainty estimation
por: Odisho, Anobel Y, et al.
Publicado: (2020)

Extracting seizure frequency from epilepsy clinic notes: a machine reading approach to natural language processing
por: Xie, Kevin, et al.
Publicado: (2022)

Practical Weak Supervision
por: Tok, Wee, et al.
Publicado: (2021)

Using deep learning-based natural language processing to identify reasons for statin nonuse in patients with atherosclerotic cardiovascular disease
por: Sarraju, Ashish, et al.
Publicado: (2022)

Identifying primary and recurrent cancers using a SAS-based natural language processing algorithm
por: Strauss, Justin A, et al.
Publicado: (2013)

New Paradigms for Patient-Centered Outcomes Research in Electronic Medical Records: An Example of Detecting Urinary Incontinence Following Prostatectomy
por: Hernandez-Boussard, Tina, et al.
Publicado: (2016)

Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
por: Tsui, Fuchiang R, et al.
Publicado: (2021)

Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites
por: Digan, William, et al.
Publicado: (2020)

Extraction of clinical phenotypes for Alzheimer’s disease dementia from clinical notes using natural language processing
por: Oh, Inez Y, et al.
Publicado: (2023)

Natural language processing-driven state machines to extract social factors from unstructured clinical documentation
por: Allen, Katie S, et al.
Publicado: (2023)

Semi-supervised peak calling with SPAN and JBR genome browser
por: Shpynov, Oleg, et al.
Publicado: (2021)

Weak supervision as an efficient approach for automated seizure detection in electroencephalography
por: Saab, Khaled, et al.
Publicado: (2020)

Development and evaluation of an interoperable natural language processing system for identifying pneumonia across clinical settings of care and institutions
por: Chapman, Alec B, et al.
Publicado: (2022)

Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transfer
por: Lee, Timothy, et al.
Publicado: (2023)

Application of natural language processing techniques to identify off-label drug usage from various online health communities
por: Dreyfus, Brian, et al.
Publicado: (2021)

Leveraging natural language processing and geospatial time series model to analyze COVID-19 vaccination sentiment dynamics on Tweets
por: Ye, Jiancheng, et al.
Publicado: (2023)

An automated pipeline for supervised classification of petal color from citizen science photographs
por: Perez‐Udell, Rachel A., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_k7tgqdu2eh07grj47p9d6lfcth