Machine Learning has been rapidly adopted in various spheres of healthcare for translating medical data into improved human healthcare. Deep learning based healthcare applications assist physicians to make faster, cheaper and more accurate diagnosis. This talk will focus on “Early Detection of Hypothyroidism in Infants using Machine Learning”.

Thyroid is a hormone secreting gland which influences all metabolic activities in our body. Hypothyroidism is a common disorder of thyroid that occurs when thyroid gland produces an insufficient amount of thyroid hormone. Deficiency of thyroid hormone at birth leads to hypothyroidism in babies. The common hypothyroidism symptoms in infants are prolong jaundice, protruding tongue, hoarse cry, puffy face, pain and swelling in joints, goiter and umbilical hernia. During early stage of hypothyroidism, babies may not have noticeable symptoms and hence, doctors (Physicians, Paediatricians and Paediatric Endocrinologists) face difficulty in recognizing hypothyroidism in infants. If hypothyroidism in infants isn’t treated during early stage, severe complications such as mental retardation, slower linear growth, loss of IQ, poor muscle tone, sensorinueral deafness, speech disorder and vision problem may arise. As a consequence, infant’s growth cannot be proceeded as healthy infants. To prevent such complications, we have developed a novel approach to diagnose hypothyroidism in infants during its early stage. To the best of our knowledge, this is the first attempt to detect hypothyroidism based on only facial symptoms viz. puffy face, jaundice, swelling around eyes, protruding tongue and flat bridged nose with broad fleshy tip.

This talk will include motivation for this work, precise problem statement and its solution, data set generated consulting Pediatric Endocrinologists and experimental results. Finally, possible extensions of this work and the future scope of research in healthcare sector will be discussed.

 
 

Outline/Structure of the Talk

  • Hypothyroidism: symptoms and complications in Infants (2 mins)
  • Motivation and problem statement (3 mins)
  • ML based solution (5 mins)
  • Dataset and empirical results (5 mins)
  • Possible future extensions of this work and research directions in healthcare (3 mins)
  • Q & A (2 mins)

Learning Outcome

  • After attending this session, the attendees will ...
    • understand how machine learning can be utilized to diagnose unexplored or rarely focused diseases.
    • understand how machine learning is useful to make faster, cheaper, and more accurate disease diagnosis.
    • be familiar with future research possibilities in healthcare sector.

Target Audience

Data Scientists, Machine Learning/Deep Learning Practitioners, Industry Professionals from Healthcare Sector, Researchers, Doctors, Students & Faculty Members from Engineering and Technology as well as Medical.

Prerequisites for Attendees

  • Familiarity with fundamentals of machine learning.
schedule Submitted 9 months ago

Public Feedback

comment Suggest improvements to the Speaker
  • Santonu Goswami
    By Santonu Goswami  ~  3 months ago
    reply Reply

    Hi Dr. Mehta, 

    Thank you for your proposal. 

    Your proposal provides a clear background on hypothiroidism and makes a strong case about the importance of its early detection in infants. Your outline of the talk and learning outcomes are also clearly stated. 

    But the proposal lacks details on the Machine Learning methods/approaches that are used in the research. This needs to be updated. The slides as of now are also barebone and focus mostly on the background and hence needs updation. The sample video is also quite short and should be updated. 

    Thank you, 

     

    Santonu

    • Dr. Mayuri Mehta
      By Dr. Mayuri Mehta  ~  3 months ago
      reply Reply

      Hi Dr. Santonu,

       

      Thank you for your feedback.

      I agree with you that the currently uploaded slides mainly focus on the background. Though I have slides ready for the details/steps of ML based solution, dataset, experimental results and future extensions,   I have deliberately not included those slides and details in the uploaded presentation because our research is not yet published and is under the process of publication. I would not like to integrate these details at present in the uploaded PPT because the slides in proposal are publicly available. I will surely update slides later or may be before conference if proposal gets selected. However, if program committee wants those slides to evaluate the proposal, I can share sample slides only with program committee.

       

      Regarding sample video, as I have already informed Mr. Vishal, Member, Program Committee, presently we are working from home. So I will not be able to upload video with slide projection. If it is fine without projection of slides, let me please know. Otherwise I will be able to upload longer video along with slide projection once college resumes.

      Thank you.

  • Natasha Rodrigues
    By Natasha Rodrigues  ~  3 months ago
    reply Reply

    Hi Dr. Mayuri,

    Thanks for your proposal! To help the program committee understand your proposal a little better, can you add the slides related to this topic .

    Thanks,

    Natasha

    • Dr. Mayuri Mehta
      By Dr. Mayuri Mehta  ~  3 months ago
      reply Reply

      Hi Natasha,

      I have uploaded SOME SAMPLE SLIDES related to this topic for reference. 

       

      • Natasha Rodrigues
        By Natasha Rodrigues  ~  3 months ago
        reply Reply

        Hi Dr. Mayuri,

        Thanks for this, will let you know if we need more details.

        Regards,

        Natasha 


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