Evidence map›Paper›PMID 33569683›Full record

ArticleEnvironmental science and pollution research international2021

Feasibility of machine learning methods for predicting hospital emergency room visits for respiratory diseases.

Jiaying Lu, Pengju Bu, Xiaolin Xia, Ning Lu, Ling Yao, Hou Jiang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Forecasts of cardiac and respiratory mortality in Tehran, Iran, using ARIMAX and CNN-LSTM models.Environmental science and pollution research international · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jiaying LuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Pengju BuBeijing Huayun Shinetek Science and Technology Co., Ltd., Beijing, 100101, China.
Xiaolin XiaSouthern Marine Science and Engineering Guangdong Laboratory, Guangzhou, 511458, China.
Ning LuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Ling YaoState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. yaoling@lreis.ac.cn.ORCID http://orcid.org/0000-0002-6120-5806
Hou JiangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.

Funding

Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory GML2019ZD0301the China Postdoctoral Science Foundation 2020M682628the GDAS' Project of Science and Technology Development 2020GDASYL-20200103003the National Natural Science Foundation of China 41771380
6 · The paper itself

Abstract

The prediction of hospital emergency room visits (ERV) for respiratory diseases after the outbreak of PM

Indexed as

HospitalsMachine LearningBeijingEmergency Service, HospitalFeasibility StudiesEmergency room visitsMachine learningPM2.5 exposureRespiratory diseases

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.