A deep learning framework for covid outbreak prediction

J Mathew, RK Behera, ZE Panthakkalakath - arXiv preprint arXiv …, 2020 - arxiv.org
… nausea, vomiting, and diarrhea. Some patients reported radiation … , China region to minimize
the spread; still, the infection … These methods are inhibited to ARIMA bases, random forest, …

… the gastrointestinal and liver manifestations of COVID-19, meta-analysis of international data, and recommendations for the consultative management of patients with …

S Sultan, O Altayar, SM Siddique, P Davitkov… - Gastroenterology, 2020 - Elsevier
… When we compared studies from China to studies from other … prevalence of diarrhea, we
extracted information on whether … factors predicting more severe disease and poor outcomes …

[HTML][HTML] Alteration of intestinal mucosal microbiota in mice with Chinese dampness-heat syndrom diarrhea by improper diet combined with high temperature and …

B Qiao, X Li, M Peng, H Hui, Z Tan - Frontiers in Cellular and Infection …, 2023 - frontiersin.org
Frontiers | Alteration of intestinal mucosal microbiota in mice with Chinese dampness-heat
syndrom diarrhea by improper diet combined with high temperature and humidity …

[HTML][HTML] Insights into long non-coding RNA and mRNA expression in the jejunum of lambs challenged with Escherichia coli F17

W Chen, X Lv, W Zhang, T Hu, X Cao, Z Ren… - Frontiers in Veterinary …, 2022 - frontiersin.org
… (RX) combination Random Forest and Extreme Gradient Boosting … Based on the target gene
prediction, the interactions … In our previous RNA-Seq research in spleen of diarrhea sheep, …

The interplay of gut microbiota between donors and recipients determines the efficacy of fecal microbiota transplantation

R He, P Li, J Wang, B Cui, F Zhang, F Zhao - Gut Microbes, 2022 - Taylor & Francis
… symptoms of persistent diarrhea, abdominal pain… predict the FMT outcomes for each patient
before FMT, we built an enterotype-based donor selection (EDS) model by the random forest

Multi-kingdom gut microbiota analyses define COVID-19 severity and post-acute COVID-19 syndrome

Q Liu, Q Su, F Zhang, HM Tun, JWY Mak… - Nature …, 2022 - nature.com
… 1 exhibited more symptoms such as diarrhea and chills (twofold … Using random forest
modeling, we observed relationships … a distribution of random forest prediction evaluations. The …

[HTML][HTML] Prevalence of bovine viral diarrhea virus in ovine and caprine flocks: A global systematic review and meta-analysis

…, JF Shi, Q Wang, CY Sheng, BY Ma… - Frontiers in veterinary …, 2021 - frontiersin.org
… evaluate the prevalence of BVDV infection in sheep and goats by … In the VIP Chinese Journal
Database, we used the search … prepare forest plots, using a random-effects model to predict

Spreading of COVID-19 in India, Italy, Japan, Spain, UK, US: a prediction using ARIMA and LSTM model

M Kumar, S Gupta, K Kumar, M Sachdeva - … Government: Research and …, 2020 - dl.acm.org
… , residential load forecasting, and solar irradiance prediction using weather … Forecasting
incidence of infectious diarrhea using random forest in Jiangsu Province, China. BMC Infect. Dis. …

Spatio-temporal pattern and influencing factors of hemorrhagic fever with renal syndrome (HFRS) in Hubei Province (China) between 2005 and 2014

L Ge, Y Zhao, K Zhou, X Mu, H Yu, Y Wang, N Wang… - PLoS …, 2016 - journals.plos.org
… To better understand and predict the outbreak of HFRS in the Hubei Province, the spatio-…
in the outbreak of HFRS incidence. With a better understanding of rodent infection rate, socio-…

Prevalence of Haemophilus parasuis “Glaesserella parasuis” in pigs in China: A systematic review and meta-analysis

HB Ni, QL Gong, Q Zhao, XY Li, XX Zhang - Preventive veterinary medicine, 2020 - Elsevier
… parasuis infection in pigs in China for perform using five … in our meta-analysis, and predict
the potential factors leading to … diarrhea in China at the end of 2010, the prevalence of piglet …