Хайлтын үр дүнгүүд - "predictive modelling"

Dental caries risk index -н Vielka González Ferrer, Milagros Alegret Rodríguez, Judith Martínez Abreu, Yainedy González Ferrer

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Geolocation prediction from STR genotyping: a pilot study in five geographically distinct global populations -н Mansi Arora, Hirak Ranjan Dash

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The Effect of Voriconazole on Tacrolimus in Kidney Transplantation Recipients: A Real-World Study -н Yi-Chang Zhao, Chen-Lin Xiao, Jing-Jing Hou, Jia-Kai Li, Bi-Kui Zhang, Xu-Biao Xie, Chun-Hua Fang, Feng-Hua Peng, Indy Sandaradura, Miao Yan

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Prediction of rTMS Efficacy in Patients With Essential Tremor: Biomarkers From Individual Resting-State EEG Network -н Runyang He, Xue Shi, Lin Jiang, Yan Zhu, Zian Pei, Lin Zhu, Xiaolin Su, Dezhong Yao, Peng Xu, Yi Guo, Fali Li

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Nomogram for predicting spontaneous pregnancy after microscopic varicocelectomy in infertile men with normal hormone -н Lina Liu, Jia Li, Gang Liu, Chunyu Pan, Song Bai, Yunhong Zhan, Liping Shan

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Dental age estimation of Malaysian Indian children and adolescents: applicability of Chaillet and Demirjian's modified method using artificial neural network -н Safar Sumit Bunyarit, Phrabhakaran Nambiar, Murali Naidu, Muhammad Khan Asif, Rozaida Yuen Ying Poh

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Predicting dyslipidemia incidence: unleashing machine learning algorithms on Lifestyle Promotion Project data -н Senobar Naderian, Zeinab Nikniaz, Mahdieh Abbasalizad Farhangi, Leila Nikniaz, Taha Sama-Soltani, Parisa Rostami

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Development of a machine learning model to estimate length of stay in coronary artery bypass grafting -н Renato Camargos Couto, Tania Pedrosa, Luciana Moreira Seara, Vitor Seara Couto, Carolina Seara Couto

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Cephalometric deviations present in children and adolescents with temporomandibular joint disorders -н Leticia Vilaça Willeman Bastos, Ricardo de Souza Tesch, Odilon Victor Porto Denardin

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Deep Neural Network Models for Predicting Chemically Induced Liver Toxicity Endpoints From Transcriptomic Responses -н Hao Wang, Hao Wang, Ruifeng Liu, Ruifeng Liu, Patric Schyman, Patric Schyman, Anders Wallqvist

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Pretreatment data is highly predictive of liver chemistry signals in clinical trials -н Cai Z, Bresell A, Steinberg MH, Silberg DG, Furlong ST

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An Explainable Intelligence Driven Query Prioritization Using Balanced Decision Tree Approach for Multi-Level Psychological Disorders Assessment -н Sushruta Mishra, Hrudaya Kumar Tripathy, Hiren Kumar Thakkar, Deepak Garg, Ketan Kotecha, Sharnil Pandya

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Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients -н Tien Yun Yang, Pin-Yu Kuo, Yaoru Huang, Yaoru Huang, Yaoru Huang, Hsiao-Wei Lin, Shwetambara Malwade, Long-Sheng Lu, Long-Sheng Lu, Long-Sheng Lu, Long-Sheng Lu, Lung-Wen Tsai, Shabbir Syed-Abdul, Shabbir Syed-Abdul, Shabbir Syed-Abdul, Chia-Wei Sun, Jeng-Fong Chiou, Jeng-Fong Chiou, Jeng-Fong Chiou, Jeng-Fong Chiou

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Medicine Consumption Forecasting in Hospitals using Long Short-Term Memory Model -н Amin Biglarkhani, Rezvan Abbasi, MohammadReza Sanaei

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A New Nomogram to Predict Spontaneous Pregnancy after Laparoscopy Combining Hysteroscopy in Women with Minimal to Mild Endometriosis-Associated Infertility -н Bin Luo, Tianjiao Pei, Xin Huang, Wei Huang

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Stress and Metabolomics for Prediction of Spontaneous Preterm Birth: A Prospective Nested Case-Control Study in a Tertiary Hospital -н Dongni Huang, Dongni Huang, Dongni Huang, Dongni Huang, Zheng Liu, Zheng Liu, Zheng Liu, Xiyao Liu, Xiyao Liu, Xiyao Liu, Yuxiang Bai, Yuxiang Bai, Yuxiang Bai, Mengshi Wu, Mengshi Wu, Mengshi Wu, Xin Luo, Xin Luo, Xin Luo, Hongbo Qi, Hongbo Qi, Hongbo Qi

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Machine Learning Algorithms for Predicting Stunting among Under-Five Children in Papua New Guinea -н Hao Shen, Hang Zhao, Yi Jiang

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Prediction of EGFR Mutation Status in Non-Small Cell Lung Cancer Based on Ensemble Learning -н Youdan Feng, Fan Song, Peng Zhang, Guangda Fan, Tianyi Zhang, Xiangyu Zhao, Chenbin Ma, Yangyang Sun, Xiao Song, Huangsheng Pu, Fei Liu, Guanglei Zhang

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The clinical usefulness of guideline-based strategies with and without the role of nonspecific symptoms to predict urinary tract infections in nursing homes: a decision curve analy... -н Sacha Kuil, Menno de Jong, Caroline Schneeberger, Frank van Leth

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Machine learning opportunities to predict obstetric haemorrhages -н Yu. S. Boldina, A. A. Ivshin

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