Home ›
Entities
› academia
› Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan)
Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan)
Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan)
Summary
Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan) is a scholarly article[1].
Key Facts
Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan)'s instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan). Retrieved May 24, 2026, from https://4ort.xyz/entity/preliminary-development-of-a-prediction-model-for-daily-stroke-occurrences-based-on-meteorological-and-calendar-informat
MLA“Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/preliminary-development-of-a-prediction-model-for-daily-stroke-occurrences-based-on-meteorological-and-calendar-informat.
BibTeX@misc{4ortxyz_preliminary-development-of-a-prediction-model-for-daily-stroke-occurrences-based-on-meteorological-and-calendar-informat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan)}}, year = {2026}, url = {https://4ort.xyz/entity/preliminary-development-of-a-prediction-model-for-daily-stroke-occurrences-based-on-meteorological-and-calendar-informat}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan) — https://4ort.xyz/entity/preliminary-development-of-a-prediction-model-for-daily-stroke-occurrences-based-on-meteorological-and-calendar-informat (retrieved 2026-05-24)