ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017
Spatio-temporal Analysis for New York State SPARCS Data.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
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- Effects of bariatric surgery on cardiovascular-related acute care use in patients with hypertrophic cardiomyopathy.ESC heart failure · 2023Article
- The incidence of reintervention and reoperation following Heller myotomy across multiple indications.Surgical endoscopy · 2022Article
- Effects of Septal Reduction Therapy on Acute Cardiovascular Events and All-Cause Mortality in Patients with Hypertrophic Cardiomyopathy.International heart journal · 2021Observational
- Pregnant patients requiring appendectomy: comparison between open and laparoscopic approaches in NY State.Surgical endoscopy · 2021Article
- Investigating rates of reoperation or postsurgical gastroparesis following fundoplication or paraesophageal hernia repair in New York State.Surgical endoscopy · 2019Article
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Authors and funding
6 authors.
Funding
Abstract
Increased accessibility of health data provides unique opportunities to discover spatio-temporal patterns of diseases. For example, New York State SPARCS (Statewide Planning and Research Cooperative System) data collects patient level detail on patient demographics, diagnoses, services, and charges for each hospital inpatient stay and outpatient visit. Such data also provides home addresses for each patient. This paper presents our preliminary work on spatial, temporal, and spatial-temporal analysis of disease patterns for New York State using SPARCS data. We analyzed spatial distribution patterns of typical diseases at ZIP code level. We performed temporal analysis of common diseases based on 12 years' historical data. We then compared the spatial variations for diseases with different levels of clustering tendency, and studied the evolution history of such spatial patterns. Case studies based on asthma demonstrated that the discovered spatial clusters are consistent with prior studies. We visualized our spatial-temporal patterns as animations through videos.
Identifiers
28815148PMC5543354What OpenQuestion holds
Registered trials
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