Data Science

Data science applications in healthcare and medical research

Calibration of Predictive Risk Models: A Guide for Clinicians

by
An elderly physician in a white coat carefully shapes a red calibration curve on a large graph comparing predicted and observed risk, in a warmly lit early 20th-century medical study rendered in muted sepia and ochre tones.

Introduction: Understanding Calibration Challenges Consider a thermometer that perfectly identifies when one temperature is higher or lower than another, but consistently reads 5 degrees too high. This thermometer has good discrimination (it correctly ranks temperatures), but poor calibration (its absolute values are inaccurate). The same problem occurs with clinical risk models such as EuroSCORE: they … Read more

F statistic

by
A wide, painterly vintage seascape shows a solitary scholar standing on a rocky cliff beside books and a globe, looking out over three small islands in the sea. The islands are clearly separated, while the waters around them vary from calm and circular to rough and turbulent, creating a poetic visual metaphor for comparison and variation.

Both one-way ANOVA (Analysis of Variance) and repeated measures ANOVA employ the F statistic as a tool to evaluate the null hypothesis that there are no significant differences between the groups being studied. Numerous other statistical tests utilize the F statistic, including regression, Levene’s and Bartlett’s tests for homogeneity of variance, MANOVA, ANCOVA, Wilks’ lambda … Read more

Character Encoding

by
Elderly bearded man in early 20th-century attire examines a framed tablet covered with archaic symbols inside a worn hospital ward, surrounded by an iron bed, anatomical charts, glass bottles, and antique medical instruments.

Character encoding is the process of assigning a unique number to each character, enabling computers to exchange data in a standardized and unambiguous manner. Various encoding systems have developed over time and across different regions. These systems often lack compatibility, have space limitations (and consequently character limitations), and may use the same encoding for different … Read more

Moments

by
A man in early 20th-century clothing stands beside a monumental hourglass in an old hospital room, surrounded by faded medical symbols, a large clock mural, and an iron bed.

The concept of “moment” has various interpretations depending on context, but generally refers to a unit of time, a specific occasion, or a particular state. In mechanics, a “moment” is the tendency of a force to rotate a body around a point or axis. In other contexts, it can refer to a precise instant in … Read more

How many Sums of Squares we’re dealing with in Repeated Measures ANOVA?

by
A lecturer in formal early 20th-century dress stands on a small stage addressing a seated audience in a historic hall, rendered as a warm sepia-toned painterly illustration with columns, red drapery, and soft antique light.

When setting up a repeated measures ANOVA test in SPSS, the dialog box for the model has “Type 3 sum of squares” selected by default. By exploring the window further, you’ll find that you can also choose multiple sums of squares: Type 1, Type 2, or Type 4. How many types of Sums of Squares … Read more

SQL databases

by
Two impoverished boys kneel in a war-damaged street, placing coins into a piggy bank amid rubble and crumbling buildings, in a warm sepia-toned historical painting style.

In Python data management, SQL databases become essential when dealing with large data volumes. These databases efficiently handle extensive structured data, offering robust features for complex querying, maintaining data integrity, and managing storage effectively. As datasets grow in size and complexity, SQL databases provide the necessary scalability, performance optimization, and data consistency mechanisms crucial for … Read more

Python in Healthcare Data

by
A large coiled snake among antique medicines, syringes, and apothecary bottles in an early twentieth-century hospital ward.

Introduction Python has become an increasingly vital tool for analyzing healthcare data. It is a widely used programming language. According to the PYPL (Popularity of Programming Language) index, it ranks as the world’s most popular programming language, commanding a 30.7% market share. By comparison, Java holds 14.89% and JavaScript 7.78% of the market. Python’s success … Read more