Iftekhar Kalsekar

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 7

Top Topics

Machine Learning

Clinical Decision Support

Prognostic Factors

Electronic Health Record

Top Venues

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

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

Publications

Kyeryoung Lee, Zongzhi Z Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William K Oh, Gustavo Stolovitzky, Eric E Schadt, Xiaoyan Wang
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing. JMIR AI 2 (2023)
Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 32 (3) (2023)
Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 32 (3) (2023)
Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 32 (3) (2023)
Kyeryoung Lee, Zongzhi Z Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William K Oh, Gustavo Stolovitzky, Eric E Schadt, Xiaoyan Wang
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing. JMIR AI 2 (2023)
Kyeryoung Lee, Zongzhi Z Liu, Urmila Chandran, Iftekhar Kalsekar, Balaji Laxmanan, Mitchell K Higashi, Tomi Jun, Meng Ma, Minghao Li, Yun Mai, Christopher Gilman, Tongyu Wang, Lei Ai, Parag Aggarwal, Qi Pan, William K Oh, Gustavo Stolovitzky, Eric E Schadt, Xiaoyan Wang
Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing. JMIR AI 2 (2023)
Urmila Chandran, Jenna Marie Reps, Robert Yang, Anil Vachani, Fabien Maldonado, Iftekhar Kalsekar
Machine Learning and Real-World Data to Predict Lung Cancer Risk in Routine Care. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2022)