Priorities for patient‐centered research in valvular heart disease: a report from the national heart, lung, and blood institute working group
…, SB Lauck, S Peschin, V Sachdev, LM Tate… - Journal of the …, 2020 - Am Heart Assoc
Over the past decade, the field of valvular heart disease ( VHD ) has rapidly transformed,
largely as a result of the development and improvement of less invasive transcatheter …
largely as a result of the development and improvement of less invasive transcatheter …
Genomic deletions and rearrangements in monkeypox virus from the 2022 outbreak, USA
…, D Batra, EE Hetrick, DT Howard, J Garfin, L Tate… - bioRxiv, 2022 - biorxiv.org
Genomic surveillance of monkeypox virus (MPXV) during the 2022 outbreak has been mainly
focused on single nucleotide polymorphism (SNP) changes. DNA viruses, including MPXV…
focused on single nucleotide polymorphism (SNP) changes. DNA viruses, including MPXV…
[PDF][PDF] Using Validation Sets to Avoid Overfitting in AdaBoost.
T Bylander, L Tate - FLAIRS, 2006 - cdn.aaai.org
AdaBoost is a well known, effective technique for increasing the accuracy of learning
algorithms. However, it has the potential to overfit the training set because its objective is to …
algorithms. However, it has the potential to overfit the training set because its objective is to …
Pregnant and postpartum women in recovery: Barriers to treatment and the role of Oxford House in the continuation of care
PA Dvorchak, G Grams, L Tate… - Alcoholism Treatment …, 1995 - Taylor & Francis
Pregnant and postpartum women attempting to recover from alcohol and substance abuse
must deal with a variety of financial, legal, and psycho-social constraints. These constraints …
must deal with a variety of financial, legal, and psycho-social constraints. These constraints …
[PDF][PDF] Using Subset Training on noisy Data
L Tate - University of Texas at San Antonio, 2006 - Citeseer
Subset training is a method in which subsets are sampled from a training set, training is
performed on each subset, and the results are aggregated for final classification. This research is …
performed on each subset, and the results are aggregated for final classification. This research is …
[HTML][HTML] Rapid diagnostic tTesting for response to the monkeypox outbreak—Laboratory Response Network, US May 17–June 30, 2022
…, M Hudziec, D Noel, M Adjei, G Hovan, P Lee, L Tate… - 2022 - stacks.cdc.gov
What is already known on this topic? The Laboratory Response Network (LRN) includes US
laboratories validated to perform the non-variola OrthopoxVirus (NVO) assay. What is added …
laboratories validated to perform the non-variola OrthopoxVirus (NVO) assay. What is added …
93 Innovative thinking-collaborative working: a novel approach to prioritising inpatient referrals by changing communication methods
A McCann, L Tate, J Klimiuk, H Shanti, J Gallagher - 2023 - spcare.bmj.com
Background Hospice referrals for inpatient unit (IPU) admissions are discussed daily by the
hospice medical and nursing teams, with decisions to admit based on the referral information …
hospice medical and nursing teams, with decisions to admit based on the referral information …
Prevalence of Scoliosis in a Pelvic Pain Cohort
L Tate - The Journal of Women's & Pelvic Health Physical …, 2015 - journals.lww.com
Objective: Adolescent idiopathic scoliosis has a reported prevalence of 0.16% to 3.26% overall,
is higher in females than in males, and higher with age. The relationship between pelvic …
is higher in females than in males, and higher with age. The relationship between pelvic …
Spurring Action on Heart Disease in Women: How a Nonprofit Can Strategically Partner with a Government Campaign
LM Tate - Health Industry Communication, 2011 - books.google.com
Heart Disease is the leading cause of death in women and has been since 1984. For decades,
heart disease has been identified as a man’s disease, and although heart disease was …
heart disease has been identified as a man’s disease, and although heart disease was …
[PDF][PDF] Using Validation to Avoid Overfitting in Boosting
T Bylander, L Tate - Citeseer
AdaBoost is a well known, effective technique for increasing the accuracy of learning
algorithms. However, it has the potential to overfit the training set because it focuses on …
algorithms. However, it has the potential to overfit the training set because it focuses on …