Results 41 to 50 of about 1,082 (160)

Web services for data warehouses: OMOP and PCORnet on i2b2 [PDF]

Journal of the American Medical Informatics Association, 2018
AbstractObjectiveHealthcare organizations use research data models supported by projects and tools that interest them, which often means organizations must support the same data in multiple models. The healthcare research ecosystem would benefit if tools and projects could be adopted independently from the underlying data model.
Jeffrey G. Klann, Lori C. Phillips, Christopher Herrick, Matthew A. Joss, Kavishwar B. Wagholikar, Shawn N. Murphy   +5 more
openaire   +3 more sources

Towards the Representation of Genomic Data in HL7 FHIR and OMOP CDM [PDF]

, 2021
High throughput sequencing technologies have facilitated an outburst in biological knowledge over the past decades and thus enables improvements in personalized medicine. In order to support (international) medical research with the combination of genomic and clinical patient data, a standardization and harmonization of these data sources is highly ...
Yuan Peng 0011, Azadeh Nassirian, Najia Ahmadi, Martin Sedlmayr, Franziska Bathelt   +4 more
openaire   +2 more sources

eds-scikit: data analysis on OMOP databases

, 2023
eds-scikit is a Python library providing tools to process and analyse OMOP data.If you use eds-scikit, please cite us as ...
Remaki, Adam, Maladière, Vincent, Varoquaux, Gaël, Petit-Jean, Thomas, Bey, Romain   +4 more
core   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

OMOP-CDM:n hyödyntäminen lääketieteellisessä data-analytiikassa [PDF]

, 2023
Tässä kandidaatintutkielmassa tutkittiin Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM)-tietomallin käyttöä lääketieteen ja terveydenhuollon data-analytiikassa.
Ruhanen, Tuukka
core  

The potential impact of H1 antihistamines on clinical outcomes in NSCLC patients undergoing EGFR‐TKIs treatment

British Journal of Clinical Pharmacology, EarlyView.
Background Epidermal growth factor receptor–tyrosine kinase inhibitors (EGFR‐TKIs) have substantially improved outcomes in non‐small cell lung cancer (NSCLC); however, the development of treatment resistance remains a major clinical challenge. This study examines the association between concomitant prescriptions of H1‐antihistamines (H1AHs) and ...
Van Thuan Nguyen, Ngoc Hoang Le, Nhu Quynh Phan, Toan Trung Duong, Le Thi Anh Thu, Hsuan‐Chia Yang, Chih‐Wei Huang, Min‐Huei Hsu, Jason C. Hsu, Chien‐Tien Su, Phung‐Anh Nguyen   +10 more
wiley   +1 more source

Optical Multiphase Conductivity Inline Probe: Characterization and Analysis of Foam Structures

Chemie Ingenieur Technik, EarlyView.
A novel inline probe combines optical imaging and electrical conductivity within a shared measurement volume, enabling simultaneous determination of foam structure and composition. The method provides real‐time access to cell size distributions and liquid fractions under process conditions. ABSTRACT For inline process analysis of foams, a novel optical
Marc Hofmann, Ferdinand Breit, Hans‐Jörg Bart, Erik von Harbou   +3 more
wiley   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

Precision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source

Evaluating the impact of OMOP-CDM on data quality insight generation in respiratory disease management

Frontiers in Big Data
The increasing volume and heterogeneity of patient care data present significant challenges for comprehensive analysis and the generation of insights, particularly in specific areas such as respiratory diseases.
Brenda Mbouamba Yankam, Brenda Mbouamba Yankam, Fankoua Tchaptchet Luc Baudoin, Pauline Andeso, François Anicet Onana Akoa, François Anicet Onana Akoa, Jean Blaise Ebimbe, Miranda Barasa, Mbele Onana, Samuel Iddi, Samuel Iddi, Agnes Kiragga, Agnes Kiragga, Bertrand Hugo Mbatchou Ngahane, Bertrand Hugo Mbatchou Ngahane, Data Science Without Borders Project   +15 more
doaj   +1 more source

Survival Outcomes by Frailty and Comorbidities in Veterans Treated With Abiraterone and Enzalutamide for Metastatic Castration‐Resistant Prostate Cancer

The Prostate, EarlyView.
ABSTRACT Background Androgen receptor pathway inhibitors (ARPIs) such as abiraterone and enzalutamide are common therapies in the management of metastatic castration‐resistant prostate cancer (mCRPC). However, the comparative effectiveness of these oral ARPIs in frail and comorbid patient populations remains uncertain.
Meghana Yellanki, Jennifer La, Danne C. Elbers, Nhan V. Do, Channing J. Paller, Nathanael R. Fillmore, Martin W. Schoen   +6 more
wiley   +1 more source