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Isaac Hands

Explore the profile of Isaac Hands including associated specialties, affiliations and a list of published articles. Areas
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Articles 16
Citations 85
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Recent Articles
1.
McLouth L, Stapleton J, Bursac V, Zelaya C, Shelton B, Thakur K, et al.
J Pain Symptom Manage . 2024 Jan; 67(4):337-345.e2. PMID: 38219963
Context: Patient misperceptions are a strong barrier to early palliative care discussions and referrals during advanced lung cancer treatment. Objectives: We developed and tested the acceptability of a web-based patient-facing...
2.
Hochheiser H, Finan S, Yuan Z, Durbin E, Jeong J, Hands I, et al.
JCO Clin Cancer Inform . 2023 Dec; 7:e2300156. PMID: 38113411
Purpose: Manual extraction of case details from patient records for cancer surveillance is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification of key...
3.
Bitterman D, Gensheimer M, Jaffray D, Pryma D, Jiang S, Morin O, et al.
JCO Clin Cancer Inform . 2023 Dec; 7:e2300136. PMID: 38055914
In August 2022, the Cancer Informatics for Cancer Centers brought together cancer informatics leaders for its biannual symposium, Precision Medicine Applications in Radiation Oncology, co-chaired by Quynh-Thu Le, MD (Stanford...
4.
Hochheiser H, Finan S, Yuan Z, Durbin E, Jeong J, Hands I, et al.
medRxiv . 2023 May; PMID: 37205575
Objective: The manual extraction of case details from patient records for cancer surveillance efforts is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification...
5.
Jeong J, Hands I, Kolesar J, Rao M, Davis B, Dobyns Y, et al.
BMC Bioinformatics . 2022 Sep; 23(Suppl 12):386. PMID: 36151511
Background: Public Data Commons (PDC) have been highlighted in the scientific literature for their capacity to collect and harmonize big data. On the other hand, local data commons (LDC), located...
6.
Alawad M, Yoon H, Gao S, Mumphrey B, Wu X, Durbin E, et al.
IEEE Trans Emerg Top Comput . 2022 Sep; 9(3):1219-1230. PMID: 36117774
Population cancer registries can benefit from Deep Learning (DL) to automatically extract cancer characteristics from the high volume of unstructured pathology text reports they process annually. The success of DL...
7.
Alawad M, Gao S, Qiu J, Schaefferkoetter N, Hinkle J, Yoon H, et al.
IEEE EMBS Int Conf Biomed Health Inform . 2022 Sep; 2019. PMID: 36081613
Automated text information extraction from cancer pathology reports is an active area of research to support national cancer surveillance. A well-known challenge is how to develop information extraction tools with...
8.
Foran D, Durbin E, Chen W, Sadimin E, Sharma A, Banerjee I, et al.
J Pathol Inform . 2022 Feb; 13:5. PMID: 35136672
Background: Population-based state cancer registries are an authoritative source for cancer statistics in the United States. They routinely collect a variety of data, including patient demographics, primary tumor site, stage...
9.
Rios A, Durbin E, Hands I, Kavuluru R
ACM BCB . 2021 Sep; 2021. PMID: 34541582
Tracking population-level cancer information is essential for researchers, clinicians, policymakers, and the public. Unfortunately, much of the information is stored as unstructured data in pathology reports. Thus, too process the...
10.
Durbin E, Christian W, Hands I, Koptyra M, Jong J, Badgett T
J Registry Manag . 2021 Jun; 47(3):127-134. PMID: 34128919
Pediatric brain and central nervous system tumors (PBCNSTs) are the most common solid tumors and are the leading cause of disease-related death in US children. PBCNST incidence rates in Kentucky...