AI&DS

AD3002: Health Care Analytics syllabus for AI&DS 2021 regulation (Professional Elective-VII)

Health Care Analytics detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&DS students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Artificial Intelligence & Data Science 6th Sem scheme and its subjects, do visit AI&DS 6th Sem 2021 regulation scheme. For Professional Elective-VII scheme and its subjects refer to AI&DS Professional Elective-VII syllabus scheme. The detailed syllabus of health care analytics is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO HEALTHCARE ANALYSIS
Overview – History of Healthcare Analysis Parameters on medical care systems- Health care policy- Standardized code sets – Data Formats – Machine Learning Foundations: Tree Like reasoning , Probabilistic reasoning and Bayes Theorem, Weighted sum approach.

Unit II

ANALYTICS ON MACHINE LEARNING
Machine Learning Pipeline – Pre-processing -Visualization – Feature Selection – Training model parameter – Evaluation model : Sensitivity , Specificity , PPV ,NPV, FPR ,Accuracy , ROC , Precision Recall Curves , Valued target variables -Python: Variables and types, Data Structures and containers , Pandas Data Frame Operations – Scikit -Learn : Pre-processing , Feature Selection.

Unit III

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Unit IV

HEALTHCARE AND DEEP LEARNING
Introduction on Deep Learning – DFF network CNN- RNN for Sequences – Biomedical Image and Signal Analysis – Natural Language Processing and Data Mining for Clinical Data – Mobile Imaging and Analytics – Clinical Decision Support System.

Unit V

CASE STUDIES
Predicting Mortality for cardiology Practice -Smart Ambulance System using IOT -Hospital Acquired Conditions (HAC) program- Healthcare and Emerging Technologies – ECG Data Analysis.

Course Outcomes:

  1. Use machine learning and deep learning algorithms for health data analysis
  2. Apply the data management techniques for healthcare data
  3. Evaluate the need of healthcare data analysis in e-healthcare, telemedicine and other critical care applications
  4. Design health data analytics for real time applications
  5. Design emergency care system using health data analysis

Reference Books:

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For detailed syllabus of all the other subjects of Artificial Intelligence & Data Science 6th Sem, visit AI&DS 6th Sem subject syllabuses for 2021 regulation.

For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results direct link.

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