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Advanced Healthcare Analytics

Курс от SkillUp
Средний≈ 9.6 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Take your healthcare analytics and machine learning skills to the next level! Advanced Healthcare Analytics brings together neural networks, deep learning imaging models, and clinical natural language processing (NLP) to solve high-value problems in modern healthcare. You will explore architectures for clinical prediction, apply convolutional neural networks to medical imaging, and use domain-specific text models for clinical notes. The course also covers responsible AI for safe, ethical deployment, including chatbots and LLM-powered tools. Using datasets representative of electronic health records, radiology studies, and provider documentation, you will build practical skills through labs in imaging and NLP. In the final project, you will build and evaluate a binary disease prediction model using structured clinical data and compare Logistic Regression with a neural network to interpret performance on the same dataset. You will also learn model evaluation, workflow-integrated decision support, privacy, and safety.

Навыки, которые вы освоите

Large Language ModelingEmbeddingsPredictive ModelingDecision IntelligenceLogistic RegressionLLM ApplicationMedical PrivacyAI SecurityHealth InformaticsClinical DocumentationComputer Vision

Программа курса

4 модулей · 66 учебных материалов

01Neural Networks for Healthcare Analytics22 материалов

Welcome to the Course

Course IntroductionВидеоCourse OverviewЧтениеReading: How to Make the Most of This CoursePLUGINSpecialization OverviewВидео

Foundations of Neural Networks

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SkillUp

Преподаватель курса

Ramesh Sannareddy

Data Engineering Subject Matter Expert

Advanced Healthcare Analytics
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 9.6 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский

Часть программы вашего университета
Activity: Making Sense of Healthcare SignalsPLUGIN
How Biology Inspires Neural Network ArchitectureВидео
Core Components of a Neural NetworkВидео
Reading: Neural Networks in Clinical AnalyticsPLUGIN
Practice Quiz: Foundations of Neural NetworksЗадание
Foundations and Clinical PredictionDIALOGUE

Training Neural Networks

Propagation and Gradient DescentВидеоRegularization Techniques for Healthcare ModelsВидеоLab: Building a Neural Network for a Clinical Prediction TaskЧтениеPausing Before Trusting an AI RecommendationОбсуждениеPractice Quiz: Training Neural NetworksЗаданиеTraining Neural Networks for Healthcare PredictionDIALOGUE

Advanced Neural Network Concepts

Initialization, Batch Normalization, and Training EnhancementsВидеоActivation and Gradient-Based Interpretability MethodsВидеоDefending a Clinical Neural Network ModelDIALOGUEPractice Quiz: Advanced Neural Network ConceptsЗадание

Module Summary and Assessment

Module Summary: Neural Networks for Healthcare AnalyticsЧтениеGraded Quiz: Neural Networks for Healthcare AnalyticsЗадание
02Medical Imaging Analytics with Deep Learning19 материалов

Clinical Imaging Modalities and Preprocessing

Medical Imaging Modalities for Neural NetworksВидеоPreprocessing for Imaging AnalyticsВидеоReading: Challenges and Considerations in Medical Imaging AnalyticsPLUGINActivity: The Imaging Mystery: Neural Networks in ActionPLUGINPractice Quiz: Clinical Imaging Modalities and PreprocessingЗаданиеClinical Imaging Modalities and Deep Learning PreprocessingDIALOGUE

Convolutional Neural Networks for Imaging

CNN Operations for Medical Image AnalysisВидеоReading: Modern CNN Architectures for Clinical ApplicationsPLUGINLab: Training a CNN for Disease ClassificationЧтениеInterpreting CNN Performance for Disease ClassificationОбсуждениеPractice Quiz: Convolutional Neural Networks for ImagingЗаданиеConvolutional Neural Networks for Medical ImagingDIALOGUE

Advanced Imaging Tasks and Interpretability

Segmentation and Detection for Clinical WorkflowsВидеоExplainability methods for medical imaging predictionsВидеоLab: Explainability for Medical Imaging Using Grad-CAMЧтениеActivity: From Pixels to PracticePLUGINPractice Quiz: Advanced Imaging Tasks and InterpretabilityЗадание

Module Summary and Assessment

Module Summary: Medical Imaging Analytics with Deep LearningЧтениеGraded Quiz: Medical Imaging Analytics with Deep LearningЗадание
03Natural Language Processing for Clinical Text17 материалов

Clinical Text Characteristics and Preprocessing

Structure and Challenges of Clinical NotesВидеоPreprocessing Techniques for Healthcare TextВидеоReading: Clinical NLP Foundations and Use CasesPLUGINActivity: From Notes to Signals: Build a Safer Clinical NLP PipelinePLUGINPractice Quiz: Clinical Text Characteristics and PreprocessingЗаданиеClinical Text Characteristics and Preprocessing for Healthcare NLPDIALOGUE

Text Representation and NLP Models

Classical Text Representations and EmbeddingsВидеоReading: Transformer-Based Models and Clinical Adaptations PLUGINLab: Building a Clinical Text Classification ModelЧтениеChoosing Representations for Clinical Text ClassificationОбсуждениеPractice Quiz: Text Representation and NLP ModelsЗаданиеText Representation and NLP Models for Clinical TextDIALOGUE

Advanced Clinical NLP and LLM Safety

Clinical Chatbots and Workflow-Integrated AssistantsВидеоReading: Safe Deployment of LLMs in HealthcarePLUGINPractice Quiz: Advanced Clinical NLP and LLM SafetyЗадание

Module Summary and Assessment

Module Summary: Natural Language Processing for Clinical TextЧтениеGraded Quiz: Natural Language Processing for Clinical TextЗадание
04Final Project, Exam, and Wrap-Up8 материалов

Final Project

Reading: Final Project OverviewPLUGINFinal Project: Binary Disease Prediction Using Tabular Clinical DataВзаимная проверкаComparing Your WorkОбсуждение

Summary, Glossary, and Final Exam

Course SummaryВидеоCourse Glossary: Advanced Healthcare AnalyticsPLUGINFinal Exam: Advanced Healthcare AnalyticsЗадание

Course Wrap-Up

Congratulations and Next StepsЧтениеTeam and AcknowledgmentsЧтение