Multi Organ Failure (MOF) Multi organ failure(MOF) or Multi organ dysfunctions syndrome (MODS) is a critical condition where two or more organ system is affected and are not able to function without assistance or intervention . This condition often encountered in patients with sepsis , shock , or trauma . Examples of multi organ failure is congestive heart failure with acute respiratory failure, acute renal failure and liver failure due to septic shock, acute respiratory

Image Credit: AI Generated As a Data Analyst, my comfort zone used to be very defined: give me a CSV, access to a SQL database, or a pre-built data warehouse, and I would work my magic. I’d clean, transform, model, and visualize until the stakeholders were happy. But then, the inevitable would happen. A dashboard that was green on Friday would be bright red on Monday morning. Why? "Something changed upstream." A developer tweaked an API endpoint, a schema shifted unannounced,

Sepsis is a life -threatening condition. When a human body is infected and it leads to an organ dysfunction, and often it causes death. Approximately 30% of people encountered severe sepsis do not survive. The only way to increase the mortality rate in sepsis is early detection .Sepsis development is detected using single failing vital sign .Instead shock develops when multiple organ system begin to become progressively worse together. In that way composite shock risk ana

( Image Credits:  All screenshots and visualizations were created by the author.) When I started my journey into Python, I had a very specific image in my head of what "coding" looked like. I imagined Matrix-style green text raining down a black screen. I imagined complex algorithms and instantaneous results. And, to be honest, the reality wasn't far off—at first. I fell in love with Jupyter Notebooks . It was the perfect sandbox. I could write a chunk of code, press Shift +

(Note: The images included in this blog post were generated dynamically by AI to illustrate the narrative. They were not sourced from existing websites or stock photo libraries.) Like many Data Analysts, I started my career living inside spreadsheets. Excel was my home base. I could VLOOKUP, pivot, and construct complex nested IF statements with the best of them. I felt competent. I felt in control of the data. Until I didn't. Hitting the "Spreadsheet Wall" I distinctly remem

Introduction : Understanding SQL joins is one of those milestones every database learner hits sooner or later. For me, it wasn’t smooth. I could write SELECT  queries confidently, filter with WHERE  like a pro, and even felt pretty good about grouping and sorting. But the moment I encountered joins, everything fell apart. Suddenly, I was staring at Venn diagrams, overlapping circles, and abstract explanations that made perfect sense in theory — but absolutely none in practic

My Journey to Understanding PostgreSQL Triggers When I first encountered database triggers, I was intrigued but overwhelmed. The concept sounded powerful — automation at the data layer — but the syntax, timing, and event types felt like a maze. I struggled to visualize how triggers actually worked and when to use them effectively. My biggest challenge was understanding the difference between BEFORE and AFTER triggers, and how they fit into real-world workflows. To overcome th

In today's digital world, organizations generate more data than ever before. From customer transactions and social media interactions to...

Hi everyone, My blog is to help the beginners understand what data analysis is, why it matters, and how to start with simple tools and...