Close Menu
    Trending
    • What If Your Portfolio Could Speak for You? | by Lusha Wang | Jun, 2025
    • High Paying, Six Figure Jobs For Recent Graduates: Report
    • What If I had AI in 2018: Rent the Runway Fulfillment Center Optimization
    • YouBot: Understanding YouTube Comments and Chatting Intelligently — An Engineer’s Perspective | by Sercan Teyhani | Jun, 2025
    • Inspiring Quotes From Brian Wilson of The Beach Boys
    • AI Is Not a Black Box (Relatively Speaking)
    • From Accidents to Actuarial Accuracy: The Role of Assumption Validation in Insurance Claim Amount Prediction Using Linear Regression | by Ved Prakash | Jun, 2025
    • I Wish Every Entrepreneur Had a Dad Like Mine — Here’s Why
    Finance StarGate
    • Home
    • Artificial Intelligence
    • AI Technology
    • Data Science
    • Machine Learning
    • Finance
    • Passive Income
    Finance StarGate
    Home»Machine Learning»How Likely Are You to Be Diagnosed with Cancer? A Data-Driven Approach | by Shirish Ghimire | Feb, 2025
    Machine Learning

    How Likely Are You to Be Diagnosed with Cancer? A Data-Driven Approach | by Shirish Ghimire | Feb, 2025

    FinanceStarGateBy FinanceStarGateFebruary 10, 2025No Comments2 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Vital well being components such age, physique mass index (BMI), alcohol consumption, smoking, genetic danger, bodily exercise, and household historical past of most cancers had been included in our dataset. We found some intriguing tendencies after we investigated the connections between these components and most cancers analysis.

    1. The Impression of Sure Danger Elements Is Larger Than That of Others

    We seemed on the relationship between a number of variables and the analysis of most cancers. An important relationships are compiled within the following desk:

    Desk 1: Options and their correlation with Most cancers Prognosis

    A most cancers analysis was most strongly correlated with a historical past of the illness. Most cancers danger was significantly larger for sufferers who’ve had a most cancers analysis earlier than. Though not as important as anticipated, genetic danger was a major impression.

    A unfavorable affiliation was discovered between bodily exercise and most cancers danger, indicating that those that exercised extra had been typically much less prone to develop the illness.

    2. Way of life selections play a key position

    In comparison with smoking, alcohol use was a stronger predictor. On this dataset, alcohol drinkers had been extra prone to have most cancers than people who smoke. One other issue was BMI, with larger BMIs being related to an elevated danger of most cancers. Gender Variations: Though the distinction wasn’t as nice as different components, ladies had been extra probably than males to obtain a most cancers analysis.



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleStartup’s autonomous drones precisely track warehouse inventories | MIT News
    Next Article MIT welcomes Frida Polli as its next visiting innovation scholar | MIT News
    FinanceStarGate

    Related Posts

    Machine Learning

    What If Your Portfolio Could Speak for You? | by Lusha Wang | Jun, 2025

    June 14, 2025
    Machine Learning

    YouBot: Understanding YouTube Comments and Chatting Intelligently — An Engineer’s Perspective | by Sercan Teyhani | Jun, 2025

    June 13, 2025
    Machine Learning

    From Accidents to Actuarial Accuracy: The Role of Assumption Validation in Insurance Claim Amount Prediction Using Linear Regression | by Ved Prakash | Jun, 2025

    June 13, 2025
    Add A Comment

    Comments are closed.

    Top Posts

    Data Scientist: From School to Work, Part I

    February 19, 2025

    Instagram Head Adam Mosseri Experiences Google Phishing Scam

    May 22, 2025

    Apple Is Losing $1 Billion a Year on Apple TV+ Streaming

    March 21, 2025

    Acciceptron: An AI-Driven Cognitive State Monitoring System for Automotive Safety Using Multimodal Neuro-HCI Integration | by Karthikeya Redrowtu | May, 2025

    May 25, 2025

    When each human is a line of the dataset | by 侧成峰 | Mar, 2025

    March 24, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Data Science
    • Finance
    • Machine Learning
    • Passive Income
    Most Popular

    One-Tailed Vs. Two-Tailed Tests | Towards Data Science

    March 6, 2025

    Fiveonefour Unveils Aurora AI Agents for Data Engineering

    April 3, 2025

    How to break into data science \ machine learning | by Data_Guy | Apr, 2025

    April 28, 2025
    Our Picks

    Hands-On CUDA ML Setup with PyTorch & TensorFlow on WSL2

    June 1, 2025

    The Basis of Cognitive Complexity: Teaching CNNs to See Connections

    April 11, 2025

    Building Worlds with AI: Watch Three Civilizations Rise From Scratch | by Breakingthebot | Apr, 2025

    April 27, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Data Science
    • Finance
    • Machine Learning
    • Passive Income
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2025 Financestargate.com All Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.