Machine Learning Theory and Applications for Healthcare.

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.

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.

Who cites it

1 citing paper in PubMed.

1. Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression.Journal of healthcare engineering · 2022
   Article

Corrections and comments

• Comment on
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  Diagnosis of Alzheimer's Disease Based on Structural MRI Images Using a Regularized Extreme Learning Machine and PCA Features.2017
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  Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization.2017
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  A Real-Time Analysis Method for Pulse Rate Variability Based on Improved Basic Scale Entropy.2017
• Comment on
  Twin SVM-Based Classification of Alzheimer's Disease Using Complex Dual-Tree Wavelet Principal Coefficients and LDA.2017
• Comment on
  Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF.2017

Authors and funding

4 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as