Search Results - "feature selection"

PERBANDINGAN METODE NAIVE BAYES DAN K-NEAREST NEIGHBOR PADA KLASIFIKASI MORFOLOGI GEN SEL DARAH PUTIH by Muhammad Nur'adli Hasbi Gumay,

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ANALISIS SENTIMEN PENGGUNA APLIKASI DANABERDASARKAN ULASAN PADA GOOGLE PLAY STOREMENGGUNAKAN METODE SUPPORT VECTOR MACHINE by Abitdavy Athallah Muhammad,

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OPTIMASI RANDOM FOREST UNTUK DIAGNOSIS PENYAKITGINJAL KRONIK DENGAN MENGGUNAKAN PARTICLE SWARMOPTIMIZATION by Sheva NaufalRifqi,

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Light gradient boost tree classifier predictions on appendicitis with periodontal disease from biochemical and clinical parameters by Pradeep Kumar Yadalam, Pradeep Kumar Yadalam, Prathiksha Vedhavalli Thirukkumaran, Prabhu Manickam Natarajan, Carlos M. Ardila, Carlos M. Ardila

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A novel machine-learning framework based on early embryo morphokinetics identifies a feature signature associated with blastocyst development by S. Canosa, N. Licheri, L. Bergandi, G. Gennarelli, C. Paschero, M. Beccuti, D. Cimadomo, G. Coticchio, L. Rienzi, C. Benedetto, F. Cordero, A. Revelli

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Development and validation of an ultrasound‑based radiomics nomogram to predict lymph node status in patients with high-grade serous ovarian cancer: a retrospective analysis by Yue Qi, Jinchi Liu, Xinyue Wang, Yuqing Zhang, Zhixun Li, Xinyu Qi, Ying Huang

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Determining the Balance Between Drug Efficacy and Safety by the Network and Biological System Profile of Its Therapeutic Target by Xiao xu Li, Xiao xu Li, Jiayi Yin, Jing Tang, Jing Tang, Yinghong Li, Yinghong Li, Qingxia Yang, Qingxia Yang, Ziyu Xiao, Runyuan Zhang, Yunxia Wang, Jiajun Hong, Lin Tao, Weiwei Xue, Feng Zhu, Feng Zhu

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ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches by Ashok K. Sharma, Gopal N. Srivastava, Ankita Roy, Vineet K. Sharma

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Artificial‐intelligence‐driven discovery of prognostic biomarker for sarcopenia by Heewon Chung, Yunju Jo, Dongryeol Ryu, Changwon Jeong, Seong‐Kyu Choe, Jinseok Lee

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Identification of radiographic characteristics associated with pain in hallux valgus patients: A preliminary machine learning study by ChenGuang Wang, Chao Li, Rui Zhang, ZhiJun Li, HuaFeng Zhang, Yuan Zhang, Shen Liu, XiaoYue Chi, Rui Zhao

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A deep neural network approach to predicting clinical outcomes of neuroblastoma patients by Léon-Charles Tranchevent, Francisco Azuaje, Jagath C. Rajapakse

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Peripheral blood smear image analysis: A comprehensive review by Emad A Mohammed, Mostafa M. A. Mohamed, Behrouz H Far, Christopher Naugler

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A novel machine learning model for predicting clinical pregnancy after laparoscopic tubal anastomosis by Nan Ding, Jian Zhang, Peili Wang, Fang Wang

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Automatic Identification of Information Quality Metrics in Health News Stories by Majed Al-Jefri, Majed Al-Jefri, Roger Evans, Joon Lee, Joon Lee, Joon Lee, Pietro Ghezzi

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Two-dimensional and three-dimensional T2 weighted imaging-based radiomic signatures for the preoperative discrimination of ovarian borderline tumors and malignant tumors by Xuefen Liu, Tianping Wang, Guofu Zhang, Keqin Hua, Hua Jiang, Shaofeng Duan, Jun Jin, He Zhang

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Using Features Extracted From Upper Limb Reaching Tasks to Detect Parkinson’s Disease by Means of Machine Learning Models by Giuseppe Cesarelli, Leandro Donisi, Francesco Amato, Maria Romano, Mario Cesarelli, Giovanni D'Addio, Alfonso M. Ponsiglione, Carlo Ricciardi

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Unifying Diagnosis Identification and Prediction Method Embedding the Disease Ontology Structure From Electronic Medical Records by Jingfeng Chen, Jingfeng Chen, Chonghui Guo, Menglin Lu, Suying Ding

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Developing an artificial neural network for detecting COVID-19 disease by Mostafa Shanbehzadeh, Raoof Nopour, Hadi Kazemi-Arpanahi

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Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue by Mohammad Shahbakhti, Matin Beiramvand, Erfan Nasiri, Somayeh Mohammadi Far, Wei Chen, Jordi Sole-Casals, Michal Wierzchon, Anna Broniec-Wojcik, Piotr Augustyniak, Vaidotas Marozas

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Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms by Xi Bai, Zhibo Zhou, Mingliang Su, Yansheng Li, Liuqing Yang, Kejia Liu, Hongbo Yang, Huijuan Zhu, Shi Chen, Hui Pan

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