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ConvMixer deep learning model for detection of pneumonia disease using chest X-ray images
ConvMixer deep learning model for detection of pneumonia disease using chest X-ray images
Pneumonia is a common and fatal disease in children nowadays. It infects the lungs resulting in difficulties in breathing....
A step-by-step guide to causal study design using real-world data
A step-by-step guide to causal study design using real-world data
Due to the need for generalizable and rapidly delivered evidence to inform healthcare decision-making, real-world data hav...
Markets matter: a simulation study of the bias-variance trade-off in comparison group selection for difference-in-differences analysis
Markets matter: a simulation study of the bias-variance trade-off in comparison group selection for difference-in-differences analysis
Recent research reveals many pitfalls when selecting a comparison group for difference-in-differences analyses of observat...
Blockchain-based secure and smart healthcare IoT system using hybrid consensus mechanism with an honest block
Blockchain-based secure and smart healthcare IoT system using hybrid consensus mechanism with an honest block
The healthcare sector is proliferating day by day by smartly securing confidential data and providing access to their rele...
Home- and community-based care in the new generation of Medicaid administrative data
Home- and community-based care in the new generation of Medicaid administrative data
This study aimed to assess the quality of Home and Community-Based Services (HCBS) data elements within the Transformed Me...
Entropy balancing versus vector-based kernel weighting for causal inference in categorical treatment settings
Entropy balancing versus vector-based kernel weighting for causal inference in categorical treatment settings
Applied health services researchers often use methods that address observed confounding in attempts to estimate causal tre...
A terminal trend model for longitudinal medical cost data and survival
A terminal trend model for longitudinal medical cost data and survival
A joint modeling approach on survival and longitudinal data has proven to be valuable in end of life applications, especia...
Multimodal mental state analysis
Multimodal mental state analysis
Self-reports or professional interviews have typically been used to diagnose depression, although these methods often miss...
Practical challenges in mediation analysis: a guide for applied researchers
Practical challenges in mediation analysis: a guide for applied researchers
Mediation analysis is a statistical approach that can provide insights regarding the intermediary processes by which an in...
A machine learning approach for diagnostic and prognostic predictions, key risk factors and interactions
A machine learning approach for diagnostic and prognostic predictions, key risk factors and interactions
Machine learning (ML) has the potential to revolutionize healthcare, allowing healthcare providers to improve patient-care...
Evaluating medical providers in terms of patient health disparities: a statistical framework
Evaluating medical providers in terms of patient health disparities: a statistical framework
Statistical methods for provider profiling are designed to measure healthcare quality and create incentives for low-qualit...
Exact-matching algorithms using administrative health claims database equivalence factors for real-world data analysis based on the target trial emulation framework
Exact-matching algorithms using administrative health claims database equivalence factors for real-world data analysis based on the target trial emulation framework
Real-world data have become increasingly important in medical science and healthcare. A new, effective, and practically fe...
Blockchain based E-procurement system in healthcare
Blockchain based E-procurement system in healthcare
Public procurement, a critical facet in acquiring goods and services, has garnered scholarly attention in e-procurement. H...
Evaluation of survey delivery methods in a national study of Veteran’s healthcare preferences
Evaluation of survey delivery methods in a national study of Veteran’s healthcare preferences
Researchers often use survey methods to elicit patient perspectives on their healthcare. Survey results are often subject ...
ATRAcTR (Authentic Transparent Relevant Accurate Track-Record): a screening tool to assess the potential for real-world data sources to support creation of credible real-world evidence for regulatory decision-making
ATRAcTR (Authentic Transparent Relevant Accurate Track-Record): a screening tool to assess the potential for real-world data sources to support creation of credible real-world evidence for regulatory decision-making
Adoption and use of real-world data (RWD) for decision-making has been complicated by concerns regarding whether RWD was f...
Propensity score weighting with survey weighted data when outcomes are binary: a simulation study
Propensity score weighting with survey weighted data when outcomes are binary: a simulation study
Propensity score methods have been widely adopted in observational studies, however research on propensity score-based wei...
Inspecting the quality of care: a comparison of CUSUM methods for inter hospital performance
Inspecting the quality of care: a comparison of CUSUM methods for inter hospital performance
During the past 14 years, a clinical audit has been used in the Netherlands to provide hospitals with data on their perfor...
Descriptive and inferential analysis of features for Dysphonia and Dysarthria Parkinson’s disease symptoms
Descriptive and inferential analysis of features for Dysphonia and Dysarthria Parkinson’s disease symptoms
Parkinson’s disease is related to nervous system disorders in human beings. In this paper, the status of Parkinson&#...
Bootstrap approach to disparity testing with source uncertainty in the data
Bootstrap approach to disparity testing with source uncertainty in the data
This article addresses the problem of one-sided hypothesis testing on the means of two populations when there is uncertain...
Emergency department pathology order support tool (ED POST): a protocol using qualitative inquiry to inform design and development of a prototype to reduce low value care
Emergency department pathology order support tool (ED POST): a protocol using qualitative inquiry to inform design and development of a prototype to reduce low value care
Laboratory tests have an important role in informing diagnosis and aiding in the determination of appropriate courses of m...
Usability evaluation of interoperability interfaces in electronic medical record systems
Usability evaluation of interoperability interfaces in electronic medical record systems
Interoperability plays a crucial role in facilitating seamless data sharing across system boundaries, necessitating collab...
Matching on propensity and prognostic scores can lead to different estimates of heterogeneous treatment effects: a case study and simulation
Matching on propensity and prognostic scores can lead to different estimates of heterogeneous treatment effects: a case study and simulation
The purpose of this study is to illustrate how matching approaches based on different balancing scores lead to variations ...
Evaluation via simulation of statistical corrections for network nonindependence
Evaluation via simulation of statistical corrections for network nonindependence
Social processes and social context are increasingly recognized as key factors shaping health-related behaviors and outcom...
Diabetes Belt has lower efficiency in providing diabetes preventive care than surrounding counties
Diabetes Belt has lower efficiency in providing diabetes preventive care than surrounding counties
Annual preventive care is essential for diabetes patients to reduce the risk of complications including hypoglycemic event...
Limitations of the inter-unit reliability: a set of practical examples
Limitations of the inter-unit reliability: a set of practical examples
Healthcare quality measures are statistics that serve to evaluate healthcare providers and identify those that need to imp...
A bootstrap DEA approach to estimate residency match rate efficiency: the case of allopathic medical schools in Texas
A bootstrap DEA approach to estimate residency match rate efficiency: the case of allopathic medical schools in Texas
The match rate of medical schools in the U.S. has been extensively studied from the perspective of applicants and influent...
Efficiency, quality, and management practices in multidisciplinary and traditional diabetes healthcare services in Mexico
Efficiency, quality, and management practices in multidisciplinary and traditional diabetes healthcare services in Mexico
Diabetes is a major health issue in middle-income countries like Mexico. Multidisciplinary healthcare (MHC) models aim to ...
Privacy preservation of the internet of medical things using blockchain
Privacy preservation of the internet of medical things using blockchain
Nowadays, the Internet of Things (IoT) is used in every domain, especially in the healthcare system it plays a very import...
Assessing environmental performance of service supply chain using fuzzy TOPSIS method
Assessing environmental performance of service supply chain using fuzzy TOPSIS method
This paper aims to apply a multi-criteria decision-making (MCDM) framework to evaluate the environmental performance of th...
Controlling time-varying confounding in difference-in-differences studies using the time-varying treatments framework
Controlling time-varying confounding in difference-in-differences studies using the time-varying treatments framework
This article clarifies how the biostatistical literature on time-varying treatments (TVT) can provide tools for dealing wi...
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