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Anesthesia and Analgesia|July 25, 2024
Racial and Ethnic Underserved Populations Prescription Analgesic Use Before and After Lower Extremity Amputation in US MedicareSeonkyeong Yang, Debbie L Wilson, Lili Zhou, et al.
Cancer Letters|December 13, 2016
VLDL and LDL, but not HDL, promote breast cancer cell proliferation, metastasis and angiogenesisChun-Wun Lu, Yi-Hsuan Lo, Chu-Huang Chen, et al.
Addiction (Abingdon, England)|March 22, 2022
Changes in predicted opioid overdose risk over time in a state Medicaid program: a group-based trajectory modeling analysisJingchuan Guo, Walid F Gellad, Qingnan Yang, et al.
JAMA Network Open|March 23, 2019
Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid PrescriptionsWei-Hsuan Lo-Ciganic, James L Huang, Hao H Zhang, et al.
Micromachines|April 30, 2021
An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor CellsHei-Jen Jou, Li-Yun Chou, Wen-Chun Chang, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|June 12, 2015
Use of common analgesics is not associated with ovarian cancer survivalAlbina N Minlikeeva, Jo L Freudenheim, Wei-Hsuan Lo-Ciganic, et al.
Journal of Biomedical Informatics|April 15, 2024
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential biasZehao Yu, Cheng Peng, Xi Yang, et al.
Progress in Community Health Partnerships : Research, Education, and Action|March 29, 2016
Partnership Building and Implementation of an Integrated Healthy-Aging ProgramJanice C Zgibor, Elizabeth A Schlenk, Laura Vater, et al.
Medrxiv : the Preprint Server for Health Sciences|June 10, 2024
Machine Learning - Based Bleeding Risk Predictions in Atrial Fibrillation Patients on Direct Oral AnticoagulantsRahul Chaudhary, Mehdi Nourelahi, Floyd W Thoma, et al.
The Lancet. Digital Health|May 27, 2022
Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling studyWei-Hsuan Lo-Ciganic, Julie M Donohue, Qingnan Yang, et al.
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