keyword
https://read.qxmd.com/read/37585429/how-to-understand-high-global-food-price-using-shap-to-interpret-machine-learning-algorithm
#1
JOURNAL ARTICLE
Xiao Han, Tong Yuan, Donghui Wang, Zheng Zhao, Bing Gong
The global food prices have surged to historical highs, and there is no consensus on the reasons behind this round of price increases in academia. Based on theoretical analysis, this study uses monthly data from January 2000 to May 2022 and machine learning models to examine the root causes of that period's global food price surge and global food security situation. The results show that: Firstly, the increase in the supply of US dollars and the rise in oil prices during pandemic are the two most important variables affecting food prices...
2023: PloS One
https://read.qxmd.com/read/37309655/prediction-model-for-postoperative-quality-of-life-among-breast-cancer-survivors-along-the-survivorship-trajectory-from-pretreatment-to-5-years-machine-learning-based-analysis
#2
JOURNAL ARTICLE
Danbee Kang, Hyunsoo Kim, Juhee Cho, Zero Kim, Myungjin Chung, Jeong Eon Lee, Seok Jin Nam, Seok Won Kim, Jonghan Yu, Byung Joo Chae, Jai Min Ryu, Se Kyung Lee
BACKGROUND: Breast cancer is the most common cancer and cause of cancer death in women. Although survival rates have improved, unmet psychosocial needs remain challenging because the quality of life (QoL) and QoL-related factors change over time. In addition, traditional statistical models have limitations in identifying factors associated with QoL over time, particularly concerning the physical, psychological, economic, spiritual, and social dimensions. OBJECTIVE: This study aimed to identify patient-centered factors associated with QoL among breast cancer patients using a machine learning algorithm to analyze data collected along different survivorship trajectories...
June 13, 2023: JMIR Public Health and Surveillance
https://read.qxmd.com/read/37095430/comparison-of-correctly-and-incorrectly-classified-patients-for-in-hospital-mortality-prediction-in-the-intensive-care-unit
#3
JOURNAL ARTICLE
Eline Stenwig, Giampiero Salvi, Pierluigi Salvo Rossi, Nils Kristian Skjærvold
BACKGROUND: The use of machine learning is becoming increasingly popular in many disciplines, but there is still an implementation gap of machine learning models in clinical settings. Lack of trust in models is one of the issues that need to be addressed in an effort to close this gap. No models are perfect, and it is crucial to know in which use cases we can trust a model and for which cases it is less reliable. METHODS: Four different algorithms are trained on the eICU Collaborative Research Database using similar features as the APACHE IV severity-of-disease scoring system to predict hospital mortality in the ICU...
April 24, 2023: BMC Medical Research Methodology
https://read.qxmd.com/read/34233125/predictors-of-indoor-radon-levels-in-the-midwest-united-states
#4
JOURNAL ARTICLE
Aleshka Carrion-Matta, Joy Lawrence, Choong-Min Kang, Jack M Wolfson, Longxiang Li, Carolina L Zilli Vieira, Joel Schwartz, Philip Demokritou, Petros Koutrakis
Radon (Rn) is a natural and toxic radioactive gas that accumulates indoors, mainly in low-ventilated underground floors and basements. Several factors make prediction of indoor Rn exposure in enclosed spaces challenging. In this study, we investigated the influence of soil, geology, topography, atmospheric variables, radiation, urbanization, community economic well-being, and monthly and yearly variations on indoor Rn concentrations. We analyzed 7,515 monthly indoor Rn measurements in 623 zip codes from two U...
December 2021: Journal of the Air & Waste Management Association
https://read.qxmd.com/read/27890096/entrance-and-exit-wounds-of-high-velocity-bullet-an-autopsy-analysis-in-the-event-of-dispersing-the-mass-rally-in-bangkok-thailand-may-2010
#5
JOURNAL ARTICLE
Vichan Peonim, Smith Srisont, Jitta Udnoon, Sompong Wongwichai, Arisa Thapon, Wisarn Worasuwannarak
Fatal mass casualties by high velocity bullets (HVBs) are rare events in peaceful countries. This study presents 27 forensic autopsy cases with 32 shots fired by 5.56×45mm. HVB (M-16 rifle bullets) during the dispersing the mass rally in Bangkok Thailand, May 2010. It was found that twenty-three (71.88%) typical entrance HVB wounds had round sizes less than the bullet diameters. Most entrance wounds had microtears but no collar abrasion since a HVB has a small streamlined spitzer tip and full metal jacket...
November 2016: Legal Medicine
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