Cohort Study
The rising burden of Non-Communicable Diseases (NCDs) has emerged as a pressing global health challenge, underscoring the urgent need for evidence-based strategies to prevent and manage these conditions effectively. To
Portfolio
Age-period-cohort (APC)
APC analysis is a statistical technique used to assess how age, time period, and birth cohort each independently influence health outcomes, such as cancer rates. These three factors are interrelated,
Quality of Care Index (QCI)
The QCI is a cutting-edge system designed to assess large-scale healthcare service quality. Aimed at data miners working with extensive entries, the QCI uses dimension reduction techniques to manage complexity.
Meta-Analysis
Meta-analysis is a sophisticated statistical technique that synthesizes data from multiple independent studies to derive a comprehensive and quantitative understanding of a specific research question. By pooling together findings from
Clinical Trial
Clinical trials are meticulously designed research studies aimed at evaluating the safety, efficacy, and potential benefits of new medical treatments, interventions, or diagnostic procedures. These trials are conducted in progressive
Big Prescribed Data Cluster Analysis
KAMILA Clustering on Big Mixed-Type Data A significant proportion of studies investigating medical prescriptions have reported a rate of up to one-third for missingness of the physician’s specialty. In order
Random Forest as an Imputation Technique
Predicting Specialty using Random Forest For this project, we utilized the data that was previously prepared and described in detail here. Our goal is to predict medical specialties based on the
Kernel K-Prototype
How do Kernels work in clustering? Let’s start by assuming that we are working with two variables that need to undergo cluster analysis. We can use various techniques to group