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  • Patient Observation

Results for "patient observation"


  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Clinical Trials Operations

    Skills you'll gain: Clinical Data Management, Clinical Trials, Sample Size Determination, Clinical Research Ethics, Clinical Trial Management Systems, Clinical Research, Data Quality, Quality Assurance, Data Entry, Case Report Forms, Institutional Review Board (IRB), Good Clinical Practices (GCP), Data Cleansing, Data Management, Regulatory Compliance, Data Integrity, Statistical Reporting, Informed Consent, Clinical Documentation, Data Collection

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Design and Interpretation of Clinical Trials

    Skills you'll gain: Clinical Trials, Clinical Research, Healthcare Ethics, Scientific Methods, Informed Consent, Ethical Standards And Conduct, Drug Development, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Health Informatics, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Health Information Management, Machine Learning, Applied Machine Learning, Health Care, Model Deployment, Generative Adversarial Networks (GANs), Artificial Neural Networks, Healthcare Project Management, Supervised Learning, Model Evaluation, Machine Learning Methods, Graph Theory, Big Data

    3.3
    Rating, 3.3 out of 5 stars
    ·
    49 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Informed Clinical Decision Making using Deep Learning

    Skills you'll gain: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Deep Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    799 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Cape Town

    Understanding Clinical Research: Behind the Statistics

    Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Qualitative Research Methods: Capturing Rich Insights

    Skills you'll gain: Qualitative Research, Research Design, User Research, Surveys, Focus Group, Research Methodologies, Research, Research and Design, Business Research, Data Collection, Interviewing Skills, Case Studies, Analysis

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    The Simplest Guide™ to Clinical Data Analysis with SAS

    Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, Case Report Forms, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Informed Consent, Data Manipulation, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Genentech

    Hands On Clinical Reporting Using R

    Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Import/Export, Data Transformation, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

1…53545556

In summary, here are 10 of our most popular patient observation courses

  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Clinical Trials Operations: Johns Hopkins University
  • Design and Interpretation of Clinical Trials: Johns Hopkins University
  • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • AI for Medical Prognosis : DeepLearning.AI
  • Understanding Clinical Research: Behind the Statistics: University of Cape Town
  • Qualitative Research Methods: Capturing Rich Insights: Coursera
  • The Simplest Guide™ to Clinical Data Analysis with SAS: Packt
  • Hands On Clinical Reporting Using R: Genentech

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