Zoekresultaten - "feature selection"

Postpartum Haemorrhage Risk Prediction Model Developed by Machine Learning Algorithms: A Single-Centre Retrospective Analysis of Clinical Data door Wenhuan Wang, Chanchan Liao, Hongping Zhang, Yanjun Hu

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ANALISIS SENTIMEN TERHADAP PPKM DARURAT PADA MEDIA SOSIAL TWITTER MENGGUNAKAN METODE NAÏVE BAYES DENGAN SELEKSI FITUR INFORMATION GAIN door Albet Dwi Pangestu,

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ANALISIS SENTIMEN PADA MEDIA SOSIAL TWITTER MENGENAI KEBIJAKAN SELEKSI SEKOLAH JALUR ZONASI MENGGUNAKAN METODE KLASIFIKASI NAÏVE BAYES DAN SELEKSI FITUR PARTICLE SWARM OPTIMIZATION... door Yudhistira,

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ANALISIS SENTIMEN TERHADAP LAYANAN INDIHOME PADA TWITTER DENGAN METODE KLASIFIKASI NAIVE BAYES DAN SELEKSI FITUR PARTICLE SWARM OPTIMIZATION door Nadhifa Zhafira,

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IMPLEMENTASI METODE SELEKSI FITUR MENGGUNAKAN ARTIFICIAL BEE COLONY PADA KLASIFIKASI RETINAL NERVE FIBER LAYER door Aam Shodiqul Munir, Andi Sunyoto, Hanif Al Fatta

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Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning door Samir Khan Townsley, Debraj Basu, Jayneel Vora, Ted Wun, Chen‐Nee Chuah, Prabhu R. V. Shankar

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The plasma proteome differentiates the multisystem inflammatory syndrome in children (MIS-C) from children with SARS-CoV-2 negative sepsis door Maitray A. Patel, Douglas D. Fraser, Mark Daley, Gediminas Cepinskas, Noemi Veraldi, Serge Grazioli

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Computational intelligence models to predict porosity of tablets using minimum features door Khalid MH, Kazemi P, Perez-Gandarillas L, Michrafy A, Szlęk J, Jachowicz R, Mendyk A

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An Explainable Supervised Machine Learning Model for Predicting Respiratory Toxicity of Chemicals Using Optimal Molecular Descriptors door Keerthana Jaganathan, Hilal Tayara, Kil To Chong

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Web-Based Newborn Screening System for Metabolic Diseases: Machine Learning Versus Clinicians door Chen, Wei-Hsin, Hsieh, Sheau-Ling, Hsu, Kai-Ping, Chen, Han-Ping, Su, Xing-Yu, Tseng, Yi-Ju, Chien, Yin-Hsiu, Hwu, Wuh-Liang, Lai, Feipei

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A polygenic stacking classifier revealed the complicated platelet transcriptomic landscape of adult immune thrombocytopenia door Chengfeng Xu, Ruochi Zhang, Meiyu Duan, Yongming Zhou, Jizhang Bao, Hao Lu, Jie Wang, Minghui Hu, Zhaoyang Hu, Fengfeng Zhou, Wenwei Zhu

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A micro-XRT image analysis and machine learning methodology for the characterisation of multi-particulate capsule formulations door Frederik J.S. Doerr, Alastair J. Florence

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Analysis of Emotional Stress of Teachers in Japanese Teaching Process Based on EEG Signal Analysis door Jie Dong

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Risk Identification of Bronchopulmonary Dysplasia in Premature Infants Based on Machine Learning door Jintao Lei, Tiankai Sun, Yongjiang Jiang, Ping Wu, Jinjian Fu, Tao Zhang, Eric McGrath

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A novel oppositional binary crow search algorithm with optimal machine learning based postpartum hemorrhage prediction model door Sujatha Krishnamoorthy, Yihang Liu, Kun Liu

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Prediction of mortality among neonates with sepsis in the neonatal intensive care unit: A machine learning approach door Faiza Iqbal, Prashant Chandra, Aakif Ashar Khan, Leslie Edward S Lewis, Dinesh Acharya, K.E. Vandana, P. Jayashree, Padmaja A. Shenoy

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Adverse Drug Reaction Related Post Detecting Using Sentiment Feature door Jingfang LIU, Xiaoyan JIANG, Qiangyuan CHEN, Mei SONG, Jia LI

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OGSSL: A Semi-Supervised Classification Model Coupled With Optimal Graph Learning for EEG Emotion Recognition door Yong Peng, Fengzhe Jin, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki

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Identifying Key Factors for Predicting the Age at Peak Height Velocity in Preadolescent Team Sports Athletes Using Explainable Machine Learning door Nikolaos-Orestis Retzepis, Alexandra Avloniti, Christos Kokkotis, Maria Protopapa, Theodoros Stampoulis, Anastasia Gkachtsou, Dimitris Pantazis, Dimitris Balampanos, Ilias Smilios, Athanasios Chatzinikolaou

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Artificial Intelligence to Get Insights of Multi-Drug Resistance Risk Factors during the First 48 Hours from ICU Admission door Inmaculada Mora-Jiménez, Jorge Tarancón-Rey, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruiz

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