Julian Lin

ORCID: 0000-0003-3770-0708
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About
Contact & Profiles
Research Areas
  • Chronic Disease Management Strategies
  • Dementia and Cognitive Impairment Research
  • Air Quality and Health Impacts
  • Parkinson's Disease Mechanisms and Treatments
  • Bone health and treatments
  • Bone health and osteoporosis research
  • Neurological diseases and metabolism
  • Urban Transport and Accessibility
  • Machine Learning in Healthcare
  • Nuclear Receptors and Signaling
  • Hip and Femur Fractures
  • Frailty in Older Adults
  • Vehicle emissions and performance

University of Eastern Finland
2022-2024

ABSTRACT In this international study, we examined the incidence of hip fractures, postfracture treatment, and all‐cause mortality following based on demographics, geography, calendar year. We used patient‐level healthcare data from 19 countries regions to identify patients aged 50 years older hospitalized with a fracture 2005 2018. The age‐ sex‐standardized rates post‐hip treatment (defined as proportion receiving anti‐osteoporosis medication various mechanisms action [bisphosphonates,...

10.1002/jbmr.4821 article EN cc-by Journal of Bone and Mineral Research 2023-04-29

There is mixed evidence for an association between particulate matter air pollution and Parkinson's disease despite biological plausibility.We studied the pollution, its components (PD) risk.We conducted a nested case-control study within population of Finland using national registers. A total 22,189 incident PD cases diagnosed 1996 2015 were matched by age, sex region with up to seven controls (n = 148,009) per case. Time weighted average exposure was modelled at residential addresses,...

10.1016/j.envres.2023.115944 article EN cc-by Environmental Research 2023-04-20

Drugs for other indications may be repurposable as disease-modifying drugs Parkinson's disease (PD). A systematic hypothesis-free approach can enable identification of candidates repurposing. We applied a to identify associated with lower risk PD discover potential repurposing and illustrate challenges in observational studies that simultaneously investigate multiple candidates.

10.2147/clep.s381289 article EN cc-by-nc Clinical Epidemiology 2022-10-01

Abstract Background Alzheimer’s disease (AD) is a major determinant of healthcare costs and increase in the service use occur already before AD diagnosis. However, little known how different diagnosis categories contribute to this use. We investigated hospitalizations specialized outpatient visits from categories, based on International Classification Diseases (ICD-10) chapters, increased during ten-year period preceding Methods A register-based nationwide cohort 42,934 community-dwelling...

10.1186/s12913-023-09345-3 article EN cc-by BMC Health Services Research 2023-04-04

Real-world data with decades-long medical records are increasingly available alongside the growing adoption of machine learning in healthcare research. We evaluated performance models predicting risk Alzheimer's disease (AD) using from Finnish national registers.

10.1016/j.ijmedinf.2024.105540 article EN cc-by-nc International Journal of Medical Informatics 2024-07-04
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