Steps Towards Information Theoretic MaxEnt (Delta)

Reference : Program Code for Information Theory-based Maximum Entropy Calculation

For steps in MatLab :

 

 

For steps in GNU-Octave :  

 

For steps in Python :   

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M Das, B Das, I Majumder, D Majumder

Medical Analytics / Health Analytics

 

India’s health care analytics market is growing exponentially. The market, which is worth an estimated USD 640.28 million in 2024, according to global research firm, TechSci Research. Additionally, data suggests it will continue growing at a compound annual growth rate (CAGR) of more than 25 per cent through 2030. This rapid growth suggests promising opportunities for health care data analysts, who rely on data analytics to unearth powerful insights into health care. These insights can reduce health care costs, deliver better care, and positively impact people’s lives.

Whether you are a data analyst interested in pivoting into health care or a health care professional seeking a more traditional 9-to-5 lifestyle, becoming a health care data analyst could be a good fit.

Discover more about the role and explore the routes to becoming one to begin your career journey. 

For details visit : TechSciResearch 

You can also visit:

National Health Systems Resource Centre

For remuneration and salary as par Glassdoor India is about 3-7 L/ annum. 

Hope this information is fruitful.

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SSBTR Admin

Short-term Training or Workshop on Computational Coding on Biomedical Data Analytics Commences from Aug 2023 # Enroll soon

 

Workshop cum Short-term Course on -

Computational Coding on Biomedical Data Analytics

Commences from August 2023

Organized by SSBTR

 

Course Highlight/Features

• Live Lectures
• Interactions and doubt clearing from the experts
•   Study Materials
• Opportunity to expose real life problem
• Opportunity to gain experience certificate
• Opportunity to gain industry oriented analytical technique 

Advantages to join in SSBTR Workshop

This Online Workshop provides a unique opportunity to learn the concepts of analytics from the National & International experts, gain certification at their own pace, and gather knowledge & skills required for the forefront academics or to make a successful career in the R & D of Medical Analytics, Pharmaceuticals, Health Care Industry and Data Business.

Eligibility Criteria & Requirement to join this Workshop

Though in the course cited examples may be of bio-medical oriented but taught  techniques have wider applications in diversified disciplines including social sciences (for example, psychology, sociology, economics and management etc.). So any +12 pass-out students or graduates (of any discipline) who have a keen interest in data science and coding are welcome to join this on-line workshop or short-term course.
But each participating candidates should have computer and access to internet connectivity with sufficient speed.   

Registration Process

Interested participants are requested to send email to bishwajit@ssbtr.net and make cc to web.ssbtr@gmail.com with the following details:

   

1. Name
2. Occupation
   
3. Organization Name (present/ last attended)
   
4. Email Id
5. WhatsApp No.
6. Course level & following attachments:
7. Academic ID card (if you are in academics) or  Latest certificate (if you are pass-out graduates)
   
8. Bank Transfer Copy of Registration Fees*

* For Registration please do not make any bank transfer right now.
* Please send the Bank Transfer Copy after receiving the confirmation mail from Co-ordinator. 

 Registration Fees for each level

Student and pass-out graduate: INR 2,000
Guest Faculty: INR 3,000

Faculty/Industry Professional: INR 4,000
Foreign Participants: INR 5,000

 

Payment Method: Bank Transfer

A/C Name: Society for Systems Biology & Translational Research.

SB A/C No: 402510110007942, IFSC Code: BKID0004025; 
Bank Name: Bank of India; Branch: Bangur Avenue;
MICR Code: 700013005

Tentative topic that will be covered:

Beginners’ level

# Computational and Open-source platform

# Program syntax in MATLAB, GNU-Octave, Python
# Handling data in GNU-Octave for analysis of statistical measures
# Regression and Correlation analysis, Linear and Non-linear fit
# Statistical Reasoning and Applications (Test for Significance)
# Basics of Numerical Methods, numerical integration, function evaluation, matrix operation
# Analytical Methods
# Visualization of biological macromolecular structures
# Modelling of Dynamical Systems
# Fourier Analysis – Basic
# Introduction to Artificial Intelligence and Machine Learning
# Optimization Techniques I 

Moderate level

# Prediction of structure of proteins

# Pairwise and multiple sequence comparison
# Program syntax in Python, R
# Refinement of predicted structure using Potential Energy
# Energy minimization
# Molecular Dynamics
# Receptor based drug design
# Monte Carlo simulations
# Advanced topics of Artificial Intelligence and Machine Learning
# Optimization Techniques II
# Biomaterials

Advance level

# Biomechanics
# Finite element analysis
# Fluid mechanics
# Advance modelling of dynamical systems
# Deep learning
# Free energy analysis
# Fourier Analysis Applications
# Image Analysis
# Invited foreign faculties
# Structure Equation Modeling
# Confirmatory factor Analysis
# Projects

SSBTR organizes Workshop cum Short-term Course Commences from Jan 2023

 

Workshop cum Short-term Course on -

Quantitative and Computational Methods for Systems Biology

Commences from Jan 2023

Organized by SSBTR

 

Course Highlight/Features

• Live Lectures
• Interactions and doubt clearing from the experts
•   Study Materials
• Opportunity to expose real life problem
• Opportunity to gain experience certificate
• Opportunity to gain industry oriented analytical technique 

Advantages to join in SSBTR Workshop

This Online Workshop provides a unique opportunity to learn the concepts of analytics from the National & International experts, gain certification at their own pace, and gather knowledge & skills required for the forefront academics or to make a successful career in the R & D of Medical Analytics, Pharmaceuticals, Health Care Industry and Data Business.  

Registration Process

Interested participants are requested to send email to bishwajit@ssbtr.net and make cc to web.ssbtr@gmail.com with the following details:

   

1. Name
2. Occupation
   
3. Organization Name (present/ last attended)
   
4. Email Id
5. WhatsApp No.
6. Course level & following attachments:
7. Academic ID card (if you are in academics) or  Latest certificate (if you are pass-out graduates)
   
8. Bank Transfer Copy of Registration Fees

 Registration Fees for each level

Student and pass-out graduate: INR 2,000
Guest Faculty: INR 3,000

Faculty/Industry Professional: INR 4,000
Foreign Participants: INR 5,000

 

Payment Method: Bank Transfer

A/C Name: Society for Systems Biology & Translational Research.

SB A/C No: 402510110007942, IFSC Code: BKID0004025; 
Bank Name: Bank of India; Branch: Bangur Avenue;
MICR Code: 700013005

Tentative topic that will be covered:

Beginners’ level

# Computational and Open-source platform

# Program syntax in MATLAB, GNU-Octave, Python
# Handling data in GNU-Octave for analysis of statistical measures
# Regression and Correlation analysis, Linear and Non-linear fit
# Statistical Reasoning and Applications (Test for Significance)
# Basics of Numerical Methods, numerical integration, function evaluation, matrix operation
# Analytical Methods
# Visualization of biological macromolecular structures
# Modelling of Dynamical Systems
# Fourier Analysis – Basic
# Introduction to Artificial Intelligence and Machine Learning
# Optimization Techniques I 

Moderate level

# Prediction of structure of proteins

# Pairwise and multiple sequence comparison
# Program syntax in Python, R
# Refinement of predicted structure using Potential Energy
# Energy minimization
# Molecular Dynamics
# Receptor based drug design
# Monte Carlo simulations
# Advanced topics of Artificial Intelligence and Machine Learning
# Optimization Techniques II
# Biomaterials

Advance level

# Biomechanics
# Finite element analysis
# Fluid mechanics
# Advance modelling of dynamical systems
# Deep learning
# Free energy analysis
# Fourier Analysis Applications
# Image Analysis
# Invited foreign faculties
# Structure Equation Modeling
# Confirmatory factor Analysis
# Projects