BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 34735942)

  • 21. An Overview of Supervised Machine Learning Methods and Data Analysis for COVID-19 Detection.
    Tchagna Kouanou A; Mih Attia T; Feudjio C; Djeumo AF; Ngo Mouelas A; Nzogang MP; Tchito Tchapga C; Tchiotsop D
    J Healthc Eng; 2021; 2021():4733167. PubMed ID: 34853669
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Early diagnosis and personalised treatment focusing on synthetic data modelling: Novel visual learning approach in healthcare.
    Mahmoud AY; Neagu D; Scrimieri D; Abdullatif ARA
    Comput Biol Med; 2023 Sep; 164():107295. PubMed ID: 37557053
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Cervical Cancer Diagnosis Using an Integrated System of Principal Component Analysis, Genetic Algorithm, and Multilayer Perceptron.
    Dweekat OY; Lam SS
    Healthcare (Basel); 2022 Oct; 10(10):. PubMed ID: 36292449
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A Quantum Hybrid PSO Combined with Fuzzy k-NN Approach to Feature Selection and Cell Classification in Cervical Cancer Detection.
    Iliyasu AM; Fatichah C
    Sensors (Basel); 2017 Dec; 17(12):. PubMed ID: 29257043
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer.
    Rajaguru H; S R SC
    Asian Pac J Cancer Prev; 2019 Dec; 20(12):3777-3781. PubMed ID: 31870121
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Cervical cancer survival prediction by machine learning algorithms: a systematic review.
    Rahimi M; Akbari A; Asadi F; Emami H
    BMC Cancer; 2023 Apr; 23(1):341. PubMed ID: 37055741
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods.
    Ijaz MF; Attique M; Son Y
    Sensors (Basel); 2020 May; 20(10):. PubMed ID: 32429090
    [TBL] [Abstract][Full Text] [Related]  

  • 28. CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.
    Zhang X; Wang J; Li J; Chen W; Liu C
    BMC Med Genomics; 2018 Dec; 11(Suppl 6):120. PubMed ID: 30598114
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Risk Stratification of Early-Stage Cervical Cancer with Intermediate-Risk Factors: Model Development and Validation Based on Machine Learning Algorithm.
    Chu R; Zhang Y; Qiao X; Xie L; Chen W; Zhao Y; Xu Y; Yuan Z; Liu X; Yin A; Wang Z; Zhang Q; Yang X; Su X; Kong B; Song K
    Oncologist; 2021 Dec; 26(12):e2217-e2226. PubMed ID: 34427018
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Machine Learning Assisted Cervical Cancer Detection.
    Mehmood M; Rizwan M; Gregus Ml M; Abbas S
    Front Public Health; 2021; 9():788376. PubMed ID: 35004588
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution
    Fick RHJ; Tayart B; Bertrand C; Lang SC; Rey T; Ciompi F; Tilmant C; Farre I; Hadj SB
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2127-2131. PubMed ID: 34891709
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Proactive approach for preamble detection in 5G-NR PRACH using supervised machine learning and ensemble model.
    Zehra SS; Magarini M; Qureshi R; Mustafa SMN; Farooq F
    Sci Rep; 2022 May; 12(1):8378. PubMed ID: 35589934
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.
    Sakr S; Elshawi R; Ahmed AM; Qureshi WT; Brawner CA; Keteyian SJ; Blaha MJ; Al-Mallah MH
    BMC Med Inform Decis Mak; 2017 Dec; 17(1):174. PubMed ID: 29258510
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Enhancing breast cancer screening with urinary biomarkers and Random Forest supervised classification: A comprehensive investigation.
    Alladio E; Trapani F; Castellino L; Massano M; Di Corcia D; Salomone A; Berrino E; Ponzone R; Marchiò C; Sapino A; Vincenti M
    J Pharm Biomed Anal; 2024 Jul; 244():116113. PubMed ID: 38554554
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.
    Bektas CT; Kocak B; Yardimci AH; Turkcanoglu MH; Yucetas U; Koca SB; Erdim C; Kilickesmez O
    Eur Radiol; 2019 Mar; 29(3):1153-1163. PubMed ID: 30167812
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
    Bernatz S; Ackermann J; Mandel P; Kaltenbach B; Zhdanovich Y; Harter PN; Döring C; Hammerstingl R; Bodelle B; Smith K; Bucher A; Albrecht M; Rosbach N; Basten L; Yel I; Wenzel M; Bankov K; Koch I; Chun FK; Köllermann J; Wild PJ; Vogl TJ
    Eur Radiol; 2020 Dec; 30(12):6757-6769. PubMed ID: 32676784
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.
    Laios A; Katsenou A; Tan YS; Johnson R; Otify M; Kaufmann A; Munot S; Thangavelu A; Hutson R; Broadhead T; Theophilou G; Nugent D; De Jong D
    Cancer Control; 2021; 28():10732748211044678. PubMed ID: 34693730
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
    P B S; Faruqi F; K S H; Kudva R
    Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Building a predictive model to assist in the diagnosis of cervical cancer.
    Drokow EK; Baffour AA; Effah CY; Agboyibor C; Akpabla GS; Sun K
    Future Oncol; 2022 Jan; 18(1):67-84. PubMed ID: 34729999
    [No Abstract]   [Full Text] [Related]  

  • 40. Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction.
    Munshi RM
    PLoS One; 2024; 19(1):e0296107. PubMed ID: 38198475
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.