Evidence map›Paper›PMID 35582327›Full record

ArticleIEEE transactions on network science and engineering2022

Adjuvant Therapy System of COVID-19 Patient: Integrating Warning, Therapy, Post-Therapy Psychological Intervention.

Miao Li, Yixue Hao, Yaxiong Ma, Jincai Chen, Long Hu, Min Chen, Kai Hwang, Zhongchun Liu

Open access · bronzeAbstract read
In one paragraph

Article in IEEE transactions on network science and engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Miao LiSchool of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.ORCID https://orcid.org/0000-0001-6738-3980
Yixue HaoSchool of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.ORCID https://orcid.org/0000-0001-7296-2522
Yaxiong MaSchool of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.ORCID https://orcid.org/0000-0002-6086-0454
Jincai ChenSchool of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.ORCID https://orcid.org/0000-0001-7368-1677
Long HuSchool of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.ORCID https://orcid.org/0000-0001-6496-6793
Min ChenSchool of Computer Science and TechnologyHuazhong University of Science and Technology Wuhan 430074 China.ORCID https://orcid.org/0000-0002-0960-4447
Kai HwangShenzhen Institute of Artificial Intelligence and Robotics for SocietyChinese University of Hong Kong Shenzhen 518172 China.
Zhongchun LiuDepartment of PsychiatryRenmin Hospital of Wuhan University Wuhan 430074 China.
Wuhan University of Science and Technology · CNChinese University of Hong Kong, Shenzhen · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2019 novel coronavirus(COVID-19) spreads rapidly, and the large-scale infection leads to the lack of medical resources. For the purpose of providing more reasonable medical service to COVID-19 patients, we designed an novel adjuvant therapy system integrating warning, therapy, and post-therapy psychological intervention. The system combines data analysis, communication networks and artificial intelligence(AI) to design a guidance framework for the treatment of COVID-19 patients. Specifically, in this system, we first can use blood characteristic data to help make a definite diagnosis and classify the patients. Then, the classification results, together with the blood characteristics and underlying diseases disease characteristics of the patient, can be used to assist the doctor in treat treating the patient according to AI algorithms. Moreover, after the patient is discharged from the hospital, the system can monitor the psychological and physiological state at the data collection layer. And in the data feedback layer, this system can analyze the data and report the abnormalities of the patient to the doctor through communication network. Experiments show the effectiveness of our proposed system.

Indexed as

5G communicationadjuvant therapy systemblood characteristicCOVID-19

Identifiers

PMID35582327
PMCPMC8905612
OpenAlexW3159257886

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.