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🔬🎉 Breast Cancer Predictor! 🔬🎉 This Streamlit app uses machine learning (Random Forest) to assist in the diagnosis of breast cancer based on cell nuclei measurements. Whether you're a medical professional or just curious, this app provides predictions on whether a breast mass is benign or malignant, along with probabilities of the diagnosis being benign or malignant. 📊💡 Key Features: Predicts breast cancer diagnosis based on cell nuclei measurements. Provides probabilities of being benign or malignant. Allows manual adjustment of measurements or automatic input from cytology lab. Designed to assist medical professionals in making diagnoses. Check out the app and empower yourself with an intuitive tool for diagnosing breast cancer! 💪👩⚕️👨⚕️ Breast Cancer Predictor · Streamlit (https://lnkd.in/gJKcUS8W) #BreastCancer #MachineLearning #Healthcare #Streamlit #DataScience #MedicalTechnology

Harnessing Data Insights for Breast Cancer Awareness Have you ever wondered how data-driven insights can strengthen the fight against breast cancer? In a recent journey at the Doremon Den Data Analyst Camp, I delved into the intricacies of breast cancer diagnostics. By employing advanced algorithms, notably the K-Nearest Neighbors (KNN) method, I unraveled patterns within patient data, illuminating the path to precise classification techniques. 🔍 Key Findings: 🎯 Precision in Predictions: We've gained the ability to identify malignant cases with unparalleled accuracy. 🔔 Recall for Reliability: Ensuring minimal misses in the identification of cancerous growth. ⚖️ Harmonizing Accuracy: Striking a balance between precision and recall for the most dependable outcomes. Breast cancer awareness isn't limited to donning pink ribbons; it's about harnessing data's potential to save lives. By recognizing the profound impact of data analysis, we can advance early detection, treatment, and ultimately strive towards a world without breast cancer. 🌸💖 Doremon Den #40DaysOfData #DoremonDen #DataAnalysis #DataDrivenHealthcare #BreastCancerAwareness #EarlyDetectionMatters

🎗️ Unveiling Breast Cancer Awareness through Data Analysis: Ever wondered how data-driven insights empower the fight against breast cancer? 🎀 Delving into the world of data analysis, I recently explored the nuances of breast cancer diagnostics in the Doremon Den Data Analyst Camp. Utilizing advanced algorithms like K-Nearest Neighbors (KNN), I deciphered patterns within patient data, shedding light on accurate classification methods. 🔍 Insights Revealed: Precision in Predictions: Identifying malignant cases with pinpoint accuracy. Recall for Reliability: Ensuring minimal misses in recognizing cancerous growth. Harmonizing Accuracy: Balancing precision and recall for the most reliable results. Breast cancer awareness isn't just about wearing pink; it's about leveraging data to save lives. By understanding the power of data analysis, we can make strides in early detection, treatment, and ultimately, towards a world without breast cancer. 🌸💖 #40DaysOfData #DoremonDen #LearnInPublic #DataAnalysis #DataDrivenHealthcare #EarlyDetectionMatters

Curematch is a Personalized Cancer Treatment! check it out and see how the right cancer treatment can be tailored and matched to each person’s unique tumor, which can help avoid unnecessary toxicities and the extra financial burdens of medications that have no response to your tumor. CureMatch sorts through the millions of complex cancer therapy combinations to target the genomic drivers of each person’s unique cancer with the help of CureMatch’s expertly curated knowledge base and Artificial Intelligence (AI)-powered proprietary algorithm, to match the best drug combinations to fight each individual cancer so there may be a higher chance of progression-free survival (PFS) and overall survival (OS). The CureMatch Consumer Portal is a secure web application designed to offer a seamless experience in managing appropriate cancer treatment analysis requests. From signing up to accessing results, the platform provides a straightforward and secure process to facilitate personalized interactions with CureMatch. Thanks Navid Alipour for all the work at CureMatch! #curecancer #cancerresearch #cancer #cancertreatment #cancercare #cancerawareness #cancersupport #cancersupportcommunity #cancersucks #artificialintelligence #ai #machinelearning #artificialintelligencetechnology #artificialgeneralintelligence #artificialintelligencenow https://lnkd.in/gb2P9pnj

Innovating Breast Cancer Treatment: A New Era of Hope TASK is proud to be conducting a clinical trial on a novel targeted therapy for breast cancer. This study is a significant step forward in our mission to advance health through innovative research. What’s the impact? The trial focuses on developing a treatment tailored to women with specific genetic markers associated with aggressive forms of breast cancer. This targeted approach aims to improve survival rates and quality of life, offering new hope to patients who previously had limited options. Why it matters: 👉Personalised Medicine: This trial exemplifies the shift towards personalised medicine, where treatments are tailored to individual genetic profiles, leading to better outcomes. 👉Improved Quality of Life: By focusing on targeted therapies, we aim to reduce side effects and enhance the quality of life for patients during and after treatment. 👉Long-Term Benefits: Success in this trial could pave the way for more personalised treatment options, revolutionising breast cancer care for future generations. Stay informed about our progress and how we're working together to make a real impact in women's health. Learn more at task.org.za. #BreastCancerResearch #WomensHealth #TASKResearch #PersonalizedMedicine #HealthcareInnovation

🚀 Just wrapped up an exciting machine learning project focused on breast cancer prediction using CatBoost! 🎗️💻 🎯 Problem: Breast cancer is a significant health concern affecting millions of individuals worldwide. Early and accurate diagnosis is critical for effective treatment and improved patient outcomes. Our goal was to develop a robust predictive model that could accurately classify breast cancer cases as malignant or benign based on various clinical features. 💡 Goal: Leveraging the power of CatBoost, our objective was to build a high-performing predictive model capable of accurately predicting breast cancer diagnoses. By doing so, we aimed to assist healthcare professionals in making timely and informed decisions, ultimately improving patient care and treatment outcomes. 📊 Result: Confusion Matrix: [[84 3] [ 0 50]] Accuracy: 97.81% K-Cross Validation Result: Accuracy: 97.26% Standard Deviation: 2.03% 🔍 Insights: The CatBoost model demonstrated exceptional performance, achieving an impressive accuracy of over 97% in the confusion matrix and consistently high accuracy during K-cross validation. These results highlight the reliability and effectiveness of our model in accurately predicting breast cancer diagnoses.Link-https://lnkd.in/djZvRSGe

🎗️ Breast Cancer: Mastering the Journey to Better Health In this comprehensive course on breast cancer, you’ll explore everything from risk factors to treatment options. Whether you're a patient, caregiver, or curious learner, this course provides vital insights for navigating breast cancer confidently. Expert-led lectures, quizzes, and real-life case studies offer a deep dive into strategies for beating breast cancer and enhancing outcomes. More at https://lnkd.in/dxme7__C What You'll Learn: Discover the risk factors, symptoms, and stages of breast cancer. Explore various screening methods crucial for early detection. Understand different treatment approaches and potential side effects. Acquire coping mechanisms and support resources for managing breast cancer effectively. #BreastCancerAwareness #CancerEducation #MedicalEducation #SupportiveCare #HealthJourney

This is post is not about the SEO but i think it is more important then my love seo. Every year lot of women suffer from this evil. Breast cancer is a pervasive and life-altering disease that affects millions of women and their families worldwide. With a global prevalence that continues to rise, it is crucial to maintain a proactive stance in the fight against breast cancer. October is Breast Cancer Awareness Month, a time when individuals, organizations, and communities come together to raise awareness, encourage early detection, and support research efforts. #breastcancerawareness #breastcancer #breastcancerawarenessmonth #BreastCancerMonth #BreastCancerSurvivor #breastcancerawarness #breastcancerfighter #breastcancersucks #breastcancerwalk #seoexpert #SEOexperts #seoexpertarizona #BreastCancerSupport #breastcancerresearch #breastcancerprevention #breastcancercare #breastcancerribbon #breastcancersurvivors #digitalmarketing #digitalmarketingagency #digitalmarketingtips #digitalmarketingstrategy #digitalmarketingtraining #digitalmarketingstrategist #digitalmarketingtools #digitalmarketingconsultant #digitalmarketingexpert #wordpress #wordpressseo

🚀 Just wrapped up an exciting machine learning project focused on breast cancer prediction using XGBoost Classifier! 🎗️💻 🎯 Problem: Breast cancer is a significant health concern worldwide, and early detection plays a crucial role in improving patient outcomes. Our goal was to develop a robust predictive model that could accurately classify breast cancer cases as malignant or benign based on clinical features like tumor size, age, and cell shape. 💡 Goal: Our objective was to leverage the power of XGBoost Classifier to build a high-performing predictive model capable of accurately diagnosing breast cancer. By doing so, we aimed to assist healthcare professionals in making timely and informed decisions, ultimately improving patient care and treatment outcomes. 📊 Result: Confusion Matrix: [[85 2] [ 1 49]] Accuracy: 97.81% K-Cross Validation Result: Accuracy: 96.71% Standard Deviation: 2.28% 🔍 Insights: The XGBoost Classifier exhibited exceptional performance, achieving an impressive accuracy of over 97% in the confusion matrix and consistently high accuracy during K-cross validation. These results indicate the reliability and effectiveness of our model in accurately predicting breast cancer diagnoses. Link-https://lnkd.in/dNUn_NQq

𝐈𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥𝐬 𝐚𝐭 𝐡𝐢𝐠𝐡 𝐫𝐢𝐬𝐤 𝐨𝐟 𝐛𝐫𝐞𝐚𝐬𝐭 𝐜𝐚𝐧𝐜𝐞𝐫 𝐟𝐚𝐜𝐞 𝐚 𝐝𝐢𝐟𝐟𝐢𝐜𝐮𝐥𝐭 𝐜𝐡𝐨𝐢𝐜𝐞: they must weigh the emotional stress of a potential breast cancer diagnosis against the discomfort and low-level radiation exposure associated with periodic mammography. Moreover, 𝐦𝐚𝐦𝐦𝐨𝐠𝐫𝐚𝐩𝐡𝐲 may not yield optimal results for those with heterogeneously dense 𝐛𝐫𝐞𝐚𝐬𝐭 tissue, which accounts for approximately half of the population. At 𝐂𝐞𝐥𝐞𝐫 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜𝐬, our dedicated team is committed to spearheading advancements in less distressing and less painful 𝐜𝐚𝐧𝐜𝐞𝐫 𝐛𝐢𝐨𝐦𝐚𝐫𝐤𝐞𝐫 monitoring. Our aspiration is that, in the future, a secure and pain-free approach to cancer diagnosis will be recommended to individuals at high risk of the disease. #CelerDiagnostics #BreastCancerAwareness #PainFreeCancerDiagnosis #CancerBiomarkerMonitoring #DenseBreastTissue #MammographyAlternatives #RadiationFreeCancerScreening #CancerPrevention #CancerInnovation #CancerCare