Anil Kumar S Vullikanti (Anil Vullikanti)

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Network Analysis

Machine Learning

Cross Sectional

Top Venues

JMIR public health and surveillance

medRxiv : the preprint server for health sciences

BMC medical informatics and decision making

This page only lists publications with an associated author ORCID identifier.

Publications

Methun Kamruzzaman, Jack Heavey, Alexander Song, Matthew Bielskas, Parantapa Bhattacharya, Gregory R Madden, Eili Y Klein, Xinwei Deng, Anil Kumar S Vullikanti
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study. JMIR AI 3 (2024)
Methun Kamruzzaman, Jack Heavey, Alexander Song, Matthew Bielskas, Parantapa Bhattacharya, Gregory R Madden, Eili Y Klein, Xinwei Deng, Anil Kumar S Vullikanti
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study. JMIR AI 3 (2024)
Methun Kamruzzaman, Jack Heavey, Alexander Song, Matthew Bielskas, Parantapa Bhattacharya, Gregory R Madden, Eili Y Klein, Xinwei Deng, Anil Kumar S Vullikanti
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study. JMIR AI 3 (2024)
Methun Kamruzzaman, Jack Heavey, Alexander Song, Matthew Bielskas, Parantapa Bhattacharya, Gregory R Madden, Eili Y Klein, Xinwei Deng, Anil Kumar S Vullikanti
Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study. JMIR AI 3 (2024)
Sifat Afroj Moon, Achla Marathe, Anil Kumar S Vullikanti
Are all underimmunized measles clusters equally critical? medRxiv : the preprint server for health sciences (2023)
Sifat Afroj Moon, Achla Marathe, Anil Kumar S Vullikanti
Are all underimmunized measles clusters equally critical? medRxiv : the preprint server for health sciences (2023)
Prathyush Sambaturu, Parantapa Bhattacharya, Jiangzhuo Chen, Bryan Leroy Lewis, Prashant Rangarajan, Srinivasan Venkatramanan, Anil Kumar S Vullikanti
An Automated Approach for Finding Spatio-Temporal Patterns of Seasonal Influenza in the United States: Algorithm Validation Study. JMIR public health and surveillance 6 (3) (2020)
Arinjoy Basak, Jose Cadena, Achla Marathe, Anil Kumar S Vullikanti
Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis. JMIR public health and surveillance 5 (2) (2019)
Jose Cadena, David Falcone, Achla Marathe, Anil Kumar S Vullikanti
Discovery of under immunized spatial clusters using network scan statistics. BMC medical informatics and decision making 19 (1) (2019)
John S Brownstein, Shuyu Chu, Achla Marathe, Prashant Rangarajan, Andre T Nguyen, Daniela Paolotti, Nicola Perra, Daniela Perrotta, Mauricio Santillana, Samarth Swarup, Michele Tizzoni, Alessandro Vespignani, Anil Kumar S Vullikanti, Mandy L Wilson, Qian Zhang
Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. JMIR public health and surveillance 3 (4) (2017)