{"repo":"hanashwanis/SEPSIS-GUARD-AI","free":true,"listed":false,"github":"https://github.com/hanashwanis/SEPSIS-GUARD-AI","clone":"git clone https://github.com/hanashwanis/SEPSIS-GUARD-AI.git","description":"Sepsis Detection System Developed a predictive machine learning model to detect the early onset of sepsis in hospitalized patients by analyzing real-time clinical data (vital signs, lab results, and demographics). By identifying subtle physiological changes hours before clinical manifestation, the system serves as an early-warning tool to trigger","language":"Jupyter Notebook","stars":19,"topics":["fastapi","flask","matplotlib","mongodb","postgresql","python","scikit-learn","seaborn"],"license":null,"category":"databases-storage","readme_excerpt":"1. Project Description SepsisGuard AI is a high-performance, AI-powered clinical decision support system (CDSS) designed for ICU physicians and nursing staff. It streamlines sepsis management by providing real-time risk scoring, protocol tracking, and an intelligent clinical copilot to improve patient outcomes during the critical \"Golden Hour.\" 2. Key Features Real-Time Risk Analysis: Instant calculation and visualization of critical sepsis scores (SIRS, qSOFA, SOFA). Golden Hour Bundle Tracker: Interactive checklist for the Surviving Sepsis Campaign (SSC) 1-hour bundle (Lactate, Blood Cultures, Antibiotics, Fluids, Vasopressors). AI Clinical Copilot: A Gemini 3 Flash-powered assistant providing evidence-based guidance on protocols and score interpretation. Longitudinal Vitals Monitoring: High-density charts for tracking MAP, Heart Rate, Temperature, and WBC trends. Role-Based Access Control (RBAC): Tailored interfaces for Physicians, Nurses, and Clinical Admins. Audit & Compliance: Comprehensive audit logging system to track clinical actions and system access. 3.MACHINE LEARNING AND PREDICTIVE ANALYSIS Generative AI (The Clinical Copilot) How it works: When you ask a question, the model processes your input against a \"System Instruction\" that contains medical knowledge (like the Surviving Sepsis Campaign guidelines). Analysis: It doesn't just search for text; it predicts the most clinically relevant response based on the patterns it learned during training on vast amounts of","default_branch":null,"files":null,"tree":[],"storefront":"/r/hanashwanis","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/hanashwanis/SEPSIS-GUARD-AI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}