IIIT-Delhi Institutional Repository

Browsing Year-2023 by Author "Sethi, Tavpritesh (Advisor)"

Browsing Year-2023 by Author "Sethi, Tavpritesh (Advisor)"

Sort by: Order: Results:

  • Android dev in PHR app: community chat 
    Dev, Saharsh; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The government of India launched the National Digital Health Mission (NDHM) initiative to make healthcare more accessible by digitizing patient data and unifying processes. We, the PHR team at TavLabs, propose implementing ...
  • A comprehensive comparison of strainformer transformer model and baseline machine learning models for future vaccine generation for COVID-19 
    Chilkoti, Mansi; Mohta, Shagun; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to compare traditional baseline models, specifically the Naive Bayes model and the Long Short-Term Memory (LSTM) model, and advanced transformer models, including Strainformer and Vaxformer. The primary ...
  • Continuous glucose monitoring 
    Sahu, Sahil; Jalote, Pankaj (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...
  • IFHP tindering datasets 
    Chowdhuri, Deeptanshu Barman; Singh, Jaskaran; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Ensuring that COVID-19 data adheres to the principles of Findability, Accessibility, Interoperability, and Reusability (FAIR) is critical for effective research and analysis. In this project, we systematically verify these ...
  • Machine learning for intensive care units 
    Sehgal, Rahul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) generate extensive time series data, particularly patient vitals, holding immense potential for meaningful insights crucial for timely interventions and enhanced patient outcomes. Conventional ...
  • Patient health record app - mental health integration 
    Kamathi, Ashish; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In response to India’s National Digital Health Mission (NDHM), TavLabs has innovatively enhanced its PHR platform by integrating a Mental Health Integration feature, designed to support and prioritize mental well-being. ...
  • Patient health record app – physical health 
    Goel, Vanshika; Kumar, Vishal; Sethi, Tavpritesh (Advisor); Ummalaneni, Vahini (Advisor) (IIIT-Delhi, 2023-11-27)
    The Government of India has initiated the National Digital Health Mission (NDHM) to improve healthcare accessibility through the digitization and consolidation of patient data processes. TavLabs' PHR team proposes an ...
  • Personal health records app 
    Yadav, Nittin; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Health Interoperability has become a major concern in today’s period in which health records data is increasing rapidly. New healthcare hospitals and facilities are emerging increasing the need to create an interoperable ...
  • Unsupervised pre-trained vitals signals embeddings for fine-tuned prognostication: a multi resolution approach 
    Sheoran, Ashwin; Patil, Vedant; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...
  • Unsupervised pre-trained vitals signals embeddings for fine-tuned prognostication: a multi-resolution approach 
    Sheoran, Ashwin; Patil, Vedant; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The project introduces an innovative method for predicting shock in ICU patients by leveraging unsupervised pre-trained embeddings from vital signs. Utilizing the extensive eICU and MIMIC datasets, the research focuses on ...

Search Repository


Advanced Search

Browse

My Account