Data mining and machine learning approaches for prediction modelling of

Terence Fusco, Yaxin Bi, Haiying Wang, Fiona Browne

Open access · bronzeAbstract read

In one paragraph

Article in International journal of machine learning and cybernetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it

0cells of the map it votes in

3citing papers in PubMed

0.9field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

A Proposed Framework for Early Prediction of Schistosomiasis.Diagnostics (Basel, Switzerland) · 2022
Article
Prediction of antischistosomal small molecules using machine learning in the era of big data.Molecular diversity · 2022
Review
Forecasting COVID19 parameters using time-series: KSA, USA, Spain, and Brazil comparative case study.Heliyon · 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

4 authors at 1 institution in 1 country.

Terence FuscoFaculty of Computing and Engineering, University of Ulster, Newtownabbey, UK.ORCID 0000-0002-4927-0146

Yaxin BiFaculty of Computing and Engineering, University of Ulster, Newtownabbey, UK.

Haiying WangFaculty of Computing and Engineering, University of Ulster, Newtownabbey, UK.

Fiona BrowneFaculty of Computing and Engineering, University of Ulster, Newtownabbey, UK.

University of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research presents viable solutions for prediction modelling of

Indexed as

Data imputationDisease prediction modellingIncremental transductive approachesSchistosomiasisSMOTESynthetic data simulation

Identifiers

PMID33727985

DOI10.1007/s13042-019-01029-x

PMCPMC7224118

OpenAlexW2986276547

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.