Literature DB >> 30177823

New machine-learning technologies for computer-aided diagnosis.

Charles J Lynch1, Conor Liston2,3,4.   

Abstract

Mesh：

Year:  2018        PMID： 30177823     DOI： 10.1038/s41591-018-0178-4

Source DB:  PubMed          Journal:  Nat Med        ISSN： 1078-8956            Impact factor:   53.440


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  17 in total

1.  Identification of diagnostic signatures in ulcerative colitis patients via bioinformatic analysis integrated with machine learning.

Authors:  Jiajie Lu; Zhiyuan Wang; Munila Maimaiti; Wenjia Hui; Adilai Abudourexiti; Feng Gao
Journal:  Hum Cell       Date:  2021-11-03       Impact factor: 4.174

Review 2.  Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis.

Authors:  Valentina Russo; Eleonora Lallo; Armelle Munnia; Miriana Spedicato; Luca Messerini; Romina D'Aurizio; Elia Giuseppe Ceroni; Giulia Brunelli; Antonio Galvano; Antonio Russo; Ida Landini; Stefania Nobili; Marcello Ceppi; Marco Bruzzone; Fabio Cianchi; Fabio Staderini; Mario Roselli; Silvia Riondino; Patrizia Ferroni; Fiorella Guadagni; Enrico Mini; Marco Peluso
Journal:  Cancers (Basel)       Date:  2022-08-19       Impact factor: 6.575

3.  Identification of Diagnostic CpG Signatures in Patients with Gestational Diabetes Mellitus via Epigenome-Wide Association Study Integrated with Machine Learning.

Authors:  Yan Liu; Hui Geng; Bide Duan; Xiuzhi Yang; Airong Ma; Xiaoyan Ding
Journal:  Biomed Res Int       Date:  2021-05-19       Impact factor: 3.411

4.  Proteomics-Based Machine Learning Approach as an Alternative to Conventional Biomarkers for Differential Diagnosis of Chronic Kidney Diseases.

Authors:  Yury E Glazyrin; Dmitry V Veprintsev; Irina A Ler; Maria L Rossovskaya; Svetlana A Varygina; Sofia L Glizer; Tatiana N Zamay; Marina M Petrova; Zoran Minic; Maxim V Berezovski; Anna S Kichkailo
Journal:  Int J Mol Sci       Date:  2020-07-07       Impact factor: 5.923

5.  Statistical Physics for Medical Diagnostics: Learning, Inference, and Optimization Algorithms.

Authors:  Abolfazl Ramezanpour; Andrew L Beam; Jonathan H Chen; Alireza Mashaghi
Journal:  Diagnostics (Basel)       Date:  2020-11-19

6.  Machine learning-assisted decision-support models to better predict patients with calculous pyonephrosis.

Authors:  Hailang Liu; Xinguang Wang; Kun Tang; Ejun Peng; Ding Xia; Zhiqiang Chen
Journal:  Transl Androl Urol       Date:  2021-02

7.  Real-World Data and Machine Learning to Predict Cardiac Amyloidosis.

Authors:  Elena García-García; Gracia María González-Romero; Encarna M Martín-Pérez; Enrique de Dios Zapata Cornejo; Gema Escobar-Aguilar; Marlon Félix Cárdenas Bonnet
Journal:  Int J Environ Res Public Health       Date:  2021-01-21       Impact factor: 3.390

8.  Prenatal prediction and typing of placental invasion using MRI deep and radiomic features.

Authors:  Rongrong Xuan; Tao Li; Yutao Wang; Jian Xu; Wei Jin
Journal:  Biomed Eng Online       Date:  2021-06-05       Impact factor: 2.819

9.  Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis.

Authors:  Ruggiero Seccia; Daniele Gammelli; Fabio Dominici; Silvia Romano; Anna Chiara Landi; Marco Salvetti; Andrea Tacchella; Andrea Zaccaria; Andrea Crisanti; Francesca Grassi; Laura Palagi
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

10.  Predictive analytics in health care: how can we know it works?

Authors:  Ben Van Calster; Laure Wynants; Dirk Timmerman; Ewout W Steyerberg; Gary S Collins
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497
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