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Articles 481 - 484 of 484
Full-Text Articles in Biomedical Informatics
Fairly Predicting Graft Failure In Liver Transplant For Organ Assigning, Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Fairly Predicting Graft Failure In Liver Transplant For Organ Assigning, Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
Faculty, Staff and Student Publications
Liver transplant is an essential therapy performed for severe liver diseases. The fact of scarce liver resources makes the organ assigning crucial. Model for End-stage Liver Disease (MELD) score is a widely adopted criterion when making organ distribution decisions. However, it ignores post-transplant outcomes and organ/donor features. These limitations motivate the emergence of machine learning (ML) models. Unfortunately, ML models could be unfair and trigger bias against certain groups of people. To tackle this problem, this work proposes a fair machine learning framework targeting graft failure prediction in liver transplant. Specifically, knowledge distillation is employed to handle dense and sparse …
Prediction Of Early (4-Week) Mortality In Acute Myeloid Leukemia With Intensive Chemotherapy, Koji Sasaki, Tapan Kadia, Kebede Begna, Courtney D Dinardo, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval Daver, Elias Jabbour, Guillermo Garcia-Manero, Guillermo Montalban Bravo, Lucia Masarova, Sherry Pierce, Marina Konopleva, Farhad Ravandi, Ayalew Tefferi, Hagop Kantarjian
Prediction Of Early (4-Week) Mortality In Acute Myeloid Leukemia With Intensive Chemotherapy, Koji Sasaki, Tapan Kadia, Kebede Begna, Courtney D Dinardo, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval Daver, Elias Jabbour, Guillermo Garcia-Manero, Guillermo Montalban Bravo, Lucia Masarova, Sherry Pierce, Marina Konopleva, Farhad Ravandi, Ayalew Tefferi, Hagop Kantarjian
Faculty, Staff and Student Publications
The progress with intensive chemotherapy and supportive care measures has improved survival in patients with newly diagnosed acute myeloid leukemia (AML). Given the recent development of effective low intensity therapies, an optimal decision on the therapy intensity may improve survival through the avoidance of early mortality. We reviewed the outcome of 3728 patients with newly diagnosed AML who received intensive chemotherapy between August 1980 and May 2020. Intensive chemotherapy was defined as a cumulative cytarabine dose ≥ 700 mg/m2 during induction therapy. We divided the whole cohort into a training and validation group at a 3:1 ratio. The population was …
Quality Of Weight Loss Advice On Internet Forums, Kevin O Hwang, Kiran Farheen, Craig W Johnson, Eric J Thomas, Ann S Barnes, Elmer V Bernstam
Quality Of Weight Loss Advice On Internet Forums, Kevin O Hwang, Kiran Farheen, Craig W Johnson, Eric J Thomas, Ann S Barnes, Elmer V Bernstam
Faculty, Staff and Student Publications
BACKGROUND: Adults use the Internet for weight loss information, sometimes by participating in discussion forums. Our purpose was to analyze the quality of advice exchanged on these forums. METHODS: This was a retrospective analysis of messages posted to 18 Internet weight loss forums during 1 month in 2006. Advice was evaluated for congruence with clinical guidelines; potential for causing harm; and subsequent correction when it was contradictory to guidelines (erroneous) or potentially harmful. Message- and forum-specific characteristics were evaluated as predictors of advice quality and self-correction. RESULTS: Of 3368 initial messages, 266 (7.9%) were requests for advice. Of 654 provisions …
Predicting Childhood Sexual Or Physical Abuse: A Logistic Regression Geo-Mapping Approach To Prevention, Roland K. Tadoum, Kamila Smolij, Michelle A. Lyn, Craig W. Johnson
Predicting Childhood Sexual Or Physical Abuse: A Logistic Regression Geo-Mapping Approach To Prevention, Roland K. Tadoum, Kamila Smolij, Michelle A. Lyn, Craig W. Johnson
Faculty, Staff and Student Publications
This study investigates the degree to which gender, ethnicity, relationship to perpetrator, and geomapped socio-economic factors significantly predict the incidence of childhood sexual abuse, physical abuse and non- abuse. These variables are then linked to geographic identifiers using geographic information system (GIS) technology to develop a geo-mapping framework for child sexual and physical abuse prevention.