Rezultaty - "predictive modelling"

The case for patient-reported pleasure od Preston Long, Tanja Stamm

Connect to this object online.

The validity of using ICD-9 codes and pharmacy records to identify patients with chronic obstructive pulmonary disease od Lee Todd A, Anderson Stephen M, Joo Min J, Cooke Colin R, Udris Edmunds M, Johnson Eric, Au David H

Connect to this object online.

Alterations of bacteriome, mycobiome and metabolome characteristics in PCOS patients with normal/overweight individuals od Guoshu Yin, Fu Chen, Guishan Chen, Xiaoping Yang, Qingxia Huang, Lan Chen, Minjie Chen, Weichun Zhang, Miaoqiong Ou, Man Cao, Hong Lin, Man Chen, Hongzhi Xu, Jianlin Ren, Yongsong Chen, Zhangran Chen

Connect to this object online.

Modelos predictivos de la epidemia de COVID-19 en España con curvas de Gompertz od Pablo Sánchez-Villegas, Antonio Daponte Codina

Connect to this object online.

Impact of statistical models on the prediction of type 2 diabetes using non-targeted metabolomics profiling od Loic Yengo, Abdelilah Arredouani, Michel Marre, Ronan Roussel, Martine Vaxillaire, Mario Falchi, Abdelali Haoudi, Jean Tichet, Beverley Balkau, Amélie Bonnefond, Philippe Froguel

Connect to this object online.

A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma od Chenguang Zhao, Yingrui Zhou, Hongwei Ma, Jinhui Wang, Haoliang Guo, Hao Liu

Connect to this object online.

Assessing the clinical utility of multi-omics data for predicting serous ovarian cancer prognosis od Zhe Zhang, Zhiyao Wei, Luyang Zhao, Chenglei Gu, Yuanguang Meng

Connect to this object online.

A new proposal for phenotypic classification and outcome assessment of dermatomyositis based on clinical manifestations and serological testing od Ting Huang, Ting Ding, Liqing Ding, Shasha Xie, Xiaojing Li, Qiming Meng, Xiaomeng Wu, Hui Luo, Hongjun Zhao

Connect to this object online.

A simple scoring system to differentiate between relapse and re-infection in patients with recurrent melioidosis. od Direk Limmathurotsakul, Wipada Chaowagul, Narisara Chantratita, Vanaporn Wuthiekanun, Mayurachat Biaklang, Sarinna Tumapa, Nicholas J White, Nicholas P J Day, Sharon J Peacock

Connect to this object online.

A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis od Christian Rose, Rachel Barber, Carl Preiksaitis, Ireh Kim, Nikesh Mishra, Kristen Kayser, Italo Brown, Michael Gisondi

Connect to this object online.

Identification and validation of key biomarkers for the early diagnosis of diabetic kidney disease od Wei Yu, Wei Yu, Ting Wang, Ting Wang, Feng Wu, Feng Wu, Yiding Zhang, Yiding Zhang, Jin Shang, Jin Shang, Jin Shang, Jin Shang, Zhanzheng Zhao, Zhanzheng Zhao, Zhanzheng Zhao, Zhanzheng Zhao

Connect to this object online.

Neuromuscular Fitness Is Associated with Serve Speed in Young Female Tennis Players od Zlatan Bilić, Paola Martić, Petar Barbaros, Filip Sinković, Dario Novak

Connect to this object online.

Racial disparities in poverty account for mortality differences in US medicare beneficiaries od Paul L. Kimmel, Chyng-Wen Fwu, Kevin C. Abbott, Jonathan Ratner, Paul W. Eggers

Connect to this object online.

Spatiotemporal dynamic relationships and simulation of urban spatial form changes and land surface temperature: a case study in Chengdu, China od Ling Jian, Ling Jian, Ling Jian, Xiaojiang Xia, Xiaojiang Xia, Xiaojiang Xia, Yuanqiao Wang, Xiuying Liu, Yue Zhang, Yue Zhang, Qianchuan Yang

Connect to this object online.

Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study od Okechinyere J. Achilonu, June Fabian, June Fabian, Brendan Bebington, Brendan Bebington, Elvira Singh, Elvira Singh, Gideon Nimako, Gideon Nimako, M. J. C. Eijkemans, Eustasius Musenge

Connect to this object online.

Machine learning prediction of suicidal ideation, planning, and attempt among Korean adults: A population-based study od Jeongyoon Lee, Tae-Young Pak

Connect to this object online.

Development of a machine learning algorithm for early detection of opioid use disorder od Zvi Segal, Kira Radinsky, Guy Elad, Gal Marom, Moran Beladev, Maor Lewis, Bar Ehrenberg, Plia Gillis, Liat Korn, Gideon Koren

Connect to this object online.

Identification of high‐dimensional omics‐derived predictors for tumor growth dynamics using machine learning and pharmacometric modeling od Laura B. Zwep, Kevin L. W. Duisters, Martijn Jansen, Tingjie Guo, Jacqueline J. Meulman, Parth J. Upadhyay, J. G. Coen vanHasselt

Connect to this object online.

Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial od Christian A Webb, Matthew J Hirshberg, Richard J Davidson, Simon B Goldberg

Connect to this object online.

Comorbidity and thirty-day hospital readmission odds in chronic obstructive pulmonary disease: a comparison of the Charlson and Elixhauser comorbidity indices od Russell G. Buhr, Nicholas J. Jackson, Gerald F. Kominski, Steven M. Dubinett, Michael K. Ong, Carol M. Mangione

Connect to this object online.