Literature DB >> 1733613

Neural networks and diagnosis in the clinical laboratory: state of the art.

D V Cicchetti.   

Abstract

Mesh：

Year:  1992        PMID： 1733613

Source DB:  PubMed          Journal:  Clin Chem        ISSN： 0009-9147            Impact factor:   8.327


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  10 in total

Review 1.  Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.

Authors:  Shujun Huang; Nianguang Cai; Pedro Penzuti Pacheco; Shavira Narrandes; Yang Wang; Wayne Xu
Journal:  Cancer Genomics Proteomics       Date:  2018 Jan-Feb       Impact factor: 4.069

2.  An efficient model for auxiliary diagnosis of hepatocellular carcinoma based on gene expression programming.

Authors:  Li Zhang; Jiasheng Chen; Chunming Gao; Chuanmiao Liu; Kuihua Xu
Journal:  Med Biol Eng Comput       Date:  2018-03-16       Impact factor: 2.602

3.  Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Authors:  Du Ni; Zhi Xiao; Bo Zhong; Xiaodong Feng
Journal:  Sci Rep       Date:  2018-11-09       Impact factor: 4.379

4.  Radiomics AI prediction for head and neck squamous cell carcinoma (HNSCC) prognosis and recurrence with target volume approach.

Authors:  Tang Fh; Chu Cyw; Cheung Eyw
Journal:  BJR Open       Date:  2021-07-05

5.  Observation on Application Effect of Arterial Puncture and Catheterization under Guidance of Intelligent Medical Care Ultrasound in Clinical Anesthesia.

Authors:  Guozhang Ren; Xiancheng Qiang; Hui Yu
Journal:  J Healthc Eng       Date:  2022-03-28       Impact factor: 2.682

6.  Machine learning application in personalised lung cancer recurrence and survivability prediction.

Authors:  Yang Yang; Li Xu; Liangdong Sun; Peng Zhang; Suzanne S Farid
Journal:  Comput Struct Biotechnol J       Date:  2022-04-04       Impact factor: 6.155

7.  FAM171B as a Novel Biomarker Mediates Tissue Immune Microenvironment in Pulmonary Arterial Hypertension.

Authors:  Lai-Hao Qu; Wen-Juan Luo; Zhi-Guo Yan; Wen-Pan Liu
Journal:  Mediators Inflamm       Date:  2022-09-22       Impact factor: 4.529

8.  Applications of machine learning in cancer prediction and prognosis.

Authors:  Joseph A Cruz; David S Wishart
Journal:  Cancer Inform       Date:  2007-02-11

9.  Performance-weighted-voting model: An ensemble machine learning method for cancer type classification using whole-exome sequencing mutation.

Authors:  Yawei Li; Yuan Luo
Journal:  Quant Biol       Date:  2020-12-07

Review 10.  Machine learning applications in cancer prognosis and prediction.

Authors:  Konstantina Kourou; Themis P Exarchos; Konstantinos P Exarchos; Michalis V Karamouzis; Dimitrios I Fotiadis
Journal:  Comput Struct Biotechnol J       Date:  2014-11-15       Impact factor: 7.271
  10 in total

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