Results 21 to 30 of about 74,016,645 (279)
Tufts PACE Clinical Predictive Model Registry: update 1990 through 2015
Background Clinical predictive models (CPMs) estimate the probability of clinical outcomes and hold the potential to improve decision-making and individualize care.
Benjamin S. Wessler +9 more
doaj +1 more source
Prehabilitation and Rehabilitation for Major Joint Replacement [PDF]
The authors gratefully acknowledge the following individuals for their contributions to this project: Professor Emerita Carol A. Oatis, P.T., Ph.D., from Arcadia University, Glenside, PA; Associate Editor Margaret A. Maglione, B.A., M.P.P., from the RAND
KJ, Konnyu +10 more
core +1 more source
Resuming elective surgical services in times of COVID-19 infection
The consequences of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus have been devastating to the healthcare system.As the positive effects of social distancing, mandatory masking, and societal lockdown on the spread of the disease ...
Raul Coimbra +3 more
doaj +1 more source
Background. Invasive infection remains a dangerous complication of heart transplantation (HT). No objectively defined set of clinical risk factors has been established to reliably predict infection in HT.
Whitney A. Perry, MD, MS +4 more
doaj +1 more source
The Methods of Comparative Effectiveness Research [PDF]
This review describes methods used in comparative effectiveness research (CER). The aim of CER is to improve decisions that affect medical care at the levels of both policy and the individual. The key elements of CER are (a) head-to-head comparisons of active treatments, (b) study populations typical of day-to-day clinical practice, and (c) a focus on ...
Harold C, Sox, Steven N, Goodman
openaire +2 more sources
Background In the highly competitive environment of academic medicine, junior faculty investigators face high attrition rates due to challenges in finding effective mentorship, securing grant funding, and obtaining resources to support their career ...
John Paul Spence +4 more
doaj +1 more source
Performance metrics for models designed to predict treatment effect
Background Measuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative treatments are inherently unobservable in one patient.
C. C. H. M. Maas +5 more
doaj +1 more source
The machine learning community has become alert to the ways that predictive algorithms can inadvertently introduce unfairness in decision-making.
Jessica K. Paulus, David M. Kent
doaj +1 more source
Predictive approaches to heterogeneous treatment effects: a scoping review
Background Recent evidence suggests that there is often substantial variation in the benefits and harms across a trial population. We aimed to identify regression modeling approaches that assess heterogeneity of treatment effect within a randomized ...
Alexandros Rekkas +7 more
doaj +1 more source
Comparative effectiveness research across two spine registries [PDF]
Comparative effectiveness research in spine surgery is still a rarity. In this study, pain alleviation and quality of life (QoL) improvement after lumbar total disc arthroplasty (TDA) and anterior lumbar interbody fusion (ALIF) were anonymously compared ...
Diel, P. +18 more
core +2 more sources

