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  • Cancer Prediction


Results for "cancer+prediction"


  • Status: Free
    Free
    C

    Coursera

    Build and deploy a stroke prediction model using R

    Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    24 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    Technion - Israel Institute of Technology

    Traditional herbal medicine in supportive cancer care: From alternative to integrative

    Skills you'll gain: Oncology, Patient Communication, Patient-centered Care, Patient Education And Counseling, Pharmacology, Drug Interaction, Patient Education and Support, Treatment Planning, Pain Management, Medical History Documentation, Care Management, Clinical Research, Cultural Sensitivity, Cultural Diversity

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Diabetes Prediction With Pyspark MLLIB

    Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Classification And Regression Tree (CART), Data Science, Machine Learning, Google Cloud Platform, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    M

    Michigan State University

    The Emergence of Oncofertility (Past, Present & Future)

    Skills you'll gain: Oncology, Obstetrics And Gynecology, Informed Consent, Treatment Planning, Patient-centered Care, Urology, Epidemiology, Healthcare Ethics, Patient Education And Counseling, Clinical Practices

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Pneumonia Classification using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Data Preprocessing, Transfer Learning, Convolutional Neural Networks, Medical Imaging, Radiology, Image Analysis, Deep Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Reproducibility in Cancer Informatics

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universidad Nacional Autónoma de México

    Cáncer de próstata

    Skills you'll gain: Oncology, Patient Evaluation, Diagnostic Tests, Radiation Therapy, Pathology, Pain Management, Urology, Medical Imaging, Risk Analysis, Anatomy, Treatment Planning, Epidemiology, Surgery, Physiology, Pharmacotherapy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    171 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    Universitat de Barcelona

    Molecular Tumor Board 2023-2024

    Skills you'll gain: Precision Medicine, Oncology, Clinical Trials, Molecular Biology, Pathology, Diagnostic Tests, Immunology, Pharmacology, Patient Education And Counseling, Clinical Practices

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    Universitat de Barcelona

    Molecular Tumor Board 2021-22

    Skills you'll gain: Oncology, Precision Medicine, Molecular Biology, Pathology, Patient Education And Counseling, Immunology, Diagnostic Tests, Clinical Trials, Patient Treatment, Clinical Practices

    Intermediate · Course · 3 - 6 Months

1…6789

In summary, here are 10 of our most popular cancer+prediction courses

  • Build and deploy a stroke prediction model using R: Coursera
  • Traditional herbal medicine in supportive cancer care: From alternative to integrative: Technion - Israel Institute of Technology
  • Diabetes Prediction With Pyspark MLLIB: Coursera
  • The Emergence of Oncofertility (Past, Present & Future): Michigan State University
  • Pneumonia Classification using PyTorch : Coursera
  • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Machine Learning: Regression: University of Washington
  • Cáncer de próstata: Universidad Nacional Autónoma de México
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University

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