Machine Learning for applied clinical informatics - To Be Added
Application of natural language processing, signal processing, image processing, computer vision and machine learning techniques to clinical, heath, and medical informatics problems. AI for NICU/PICU/ICU data, Critical Care, Emergency Medicine, Sepsis, Bronchopulmonary Dysplasia. Healthcare NLP/EHR/EMR/ePHI/PHR/PRO Data - Unstructured text data analysis with ML/DL - Clinical data - MLDevOps + FHIR. AI for Healthcare and Clinical Implementation. AI for NICU/PICU/ICU.
AI/NLP/Imaging for NICU: NLP-PICC, PICCLineNet, BPD, Sepsis, NPD
EHR : RareDiseases, ASD
M. Shah, D. Shu, V. B. S. Prasath, Y. Ni, A. Schapiro, K. Dufendach. Machine learning for detection of correct peripherally inserted central catheter tip position from radiology reports in infants. Applied Clinical Informatics, 12(04), 856-863, August 2021. doi:10.1055/s-0041-1735178 [NLP-PICC]
Prasath et al., PICCLineNet: Deep learning for detecting peripherally inserted central catheter (PICC) lines and tips from radiological images in infants. 2022. Preliminary version at arXiv:22xx.abcde. [PICCLineNet]
M. Shah, D. Jain, V. B. S. Prasath, K. Dufendach. Artificial intelligence in bronchopulmonary dysplasia - Current research and unexplored frontiers. Submitted, 2022.