Anzabi Zadeh, Sadjad Street, W Nick Thomas, Barrett W
Published in
Journal of biomedical informatics
Warfarin is a widely used anticoagulant, and has a narrow therapeutic range. Dosing of warfarin should be individualized, since slight overdosing or underdosing can have catastrophic or even fatal consequences. Despite much research on warfarin dosing, current dosing protocols do not live up to expectations, especially for patients sensitive to war...
Abraham, Joanna Bartek, Brian Meng, Alicia Ryan King, Christopher Xue, Bing Lu, Chenyang Avidan, Michael S
Published in
Journal of biomedical informatics
Surgical patients are complex, vulnerable, and prone to postoperative complications that can potentially be mitigated with quality perioperative risk assessment and management. Several institutions have incorporated machine learning (ML) into their patient care to improve awareness and support clinician decision-making along the perioperative spect...
Choo, Hyunwoo Yoo, Su Young Moon, Suhyeon Park, Minsu Lee, Jiwon Sung, Ki Woong Cha, Won Chul Shin, Soo-Yong Son, Meong Hi
Published in
Journal of biomedical informatics
Neutropenia and its complications are major adverse effects of cytotoxic chemotherapy. The time to recovery from neutropenia varies from patient to patient, and cannot be easily predicted even by experts. Therefore, we trained a deep learning model using data from 525 pediatric patients with solid tumors to predict the day when patients recover fro...
Zhao, Zhengyun Tian, Yichen Yuan, Zheng Zhao, Peng Xia, Feng Yu, Sheng
Published in
Journal of biomedical informatics
Liver cancer is a common malignant tumor, and its clinical stage is closely related to the clinical treatment and prognosis of patients. Currently, the BCLC staging system revised by the BCLC group of University of Barcelona is the globally recognized staging system for liver cancer. However, with the deepening of related research, the current stag...
French, Evan McInnes, Bridget T
Published in
Journal of biomedical informatics
Biomedical Entity Linking (BEL) is the task of mapping of spans of text within biomedical documents to normalized, unique identifiers within an ontology. This is an important task in natural language processing for both translational information extraction applications and providing context for downstream tasks like relationship extraction. In this...
Li, Yang Liang, Dongzuo Ma, Shuangge Ma, Chenjin
Published in
Journal of biomedical informatics
The analysis of registry data has important implications for cancer monitoring, control, and treatment. In such analysis, (semi)parametric models, such as the Cox Proportional Hazards model, have been routinely adopted. In recent years, deep neural network (DNN) has been shown to excel in many fields with its flexibility and superior prediction per...
Haupert, Spencer R Shi, Xu Chen, Chen Fritsche, Lars G Mukherjee, Bhramar
Published in
Journal of biomedical informatics
Post COVID-19 condition (PCC) is known to affect a large proportion of COVID-19 survivors. Robust study design and methods are needed to understand post-COVID-19 diagnosis patterns in all survivors, not just those clinically diagnosed with PCC. We applied a case-crossover Phenome-Wide Association Study (PheWAS) in a retrospective cohort of COVID-19...
McMaster, Christopher Chan, Julia Liew, David F L Su, Elizabeth Frauman, Albert G Chapman, Wendy W Pires, Douglas E V
Published in
Journal of biomedical informatics
The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and risk-benefit profile of medications. With an incidence that has not changed over the last 30 years, ADRs are a significant source of patient morbidity, responsible for 5%-10% of acute care hospital admissions worldwide. Spontaneous reporting of ADRs ha...
Rousseau, Justin F Oliveira, Eliel Tierney, William M Khurshid, Anjum
Published in
Journal of biomedical informatics
To describe methods to approach application of data standards to integrate social determinants of health (SDoH) into EHRs through evaluation of a case of clinical decision support for pediatric asthma. We identified a list of environmental factors important for managing pediatric asthma. We identified and integrated data from local outdoor air qual...
Strech, Daniel Haven, Tamarinde Madai, Vince I Meurers, Thierry Prasser, Fabian
Published in
Journal of biomedical informatics
Effective and efficient privacy risk management (PRM) is a necessary condition to support digitalization in health care and secondary use of patient data in research. To reduce privacy risks, current PRM frameworks are rooted in an approach trying to reduce undesired technical/organizational outcomes such as broken encryption or unintentional data ...