Data and code for: Veterinary Expert System for Outcome (VESOP) Prediction

Timely detection and understanding of causes for population decline are essential for effective wildlife management and conservation. Assessing trends in population size has been the standard approach but we propose that monitoring population health could prove more effective. We collated data from seven bottlenose dolphin (Tursiops truncatus) populations in the southeastern U.S. to develop the Veterinary Expert System for Outcome Prediction (VESOP), which estimates survival probability using a suite of health measures identified by experts as indices for inflammatory, metabolic, pulmonary, and neuroendocrine systems. VESOP was implemented using logistic regression within a Bayesian analysis framework, and parameters were fit using records from five of the sites that had robust stranding network and frequent photographic identification (photo-ID) surveys to document definitive survival outcomes. We also conducted capture-mark-recapture (CMR) analyses of photo-ID data to obtain separate ..., We collated data from seven bottlenose dolphin (Tursiops truncatus) health assessment studies in the southeastern U.S. to develop the Veterinary Expert System for Outcome Prediction (VESOP), which estimates survival probability using a suite of health measures. VESOP was implemented using logistic regression within a Bayesian analysis framework. Data include morphometrics, hematologic and serum biochemical results, pulmonary ultrasound scores, hormone measurements, and one- and two-year survival outcomes. , All code was implement in R and Rjags., # Veterinary Expert System for Outcome Prediction (VESOP) data and code We collated health data from seven bottlenose dolphin (Tursiops truncatus) populations in the southeastern U.S. to develop the Veterinary Expert System for Outcome Prediction (VESOP), which estimates survival probability using a suite of health measures. VESOP was implemented using logistic regression within a Bayesian analysis framework. Data include morphometrics, hematologic and serum biochemical results, pulmonary ultrasound scores, hormone measurements, and one- and two-year survival outcomes. ## Description of the Data and file structure The following files were used to implement the VESOP model for the manuscript and associated supplemental information: Schwacke, LH, L Thomas, RS Wells, TK Rowles, G Bossart, F Townsend, M Mazzoil, JB Allen, BC Balmer, AA Barleycorn, A Barratclough, ML Burt, S De Guise, D Fauquier, FM Gomez, NM Kellar, JH Schwacke, TR Speakman, E Stolen, BM Quigley, ES Zolman, and CR Smith....及时检测并明确种群下降的诱因，对于开展高效的野生动物管理与保护工作至关重要。过往评估种群规模变化是主流研究手段，但我们认为监测种群健康水平或可成为更为有效的途径。我们整合了美国东南部7个宽吻海豚（*Tursiops truncatus*）种群的相关数据，以此开发出结局预测兽医专家系统（Veterinary Expert System for Outcome Prediction, VESOP）——该系统可通过一系列经专家遴选的健康指标估算个体生存概率，这些指标分别对应炎症、代谢、肺部及神经内分泌系统。 VESOP采用贝叶斯分析框架下的逻辑回归方法构建，模型参数通过5个具备完善搁浅救助网络且高频开展照相识别（photo-ID）调查的站点的记录进行拟合，上述站点可记录确定的生存结局。我们还针对照相识别数据开展了捕获-标记-重捕（capture-mark-recapture, CMR）分析，以获取独立的…… 我们再次整合了美国东南部7个宽吻海豚健康评估研究的数据，以开发结局预测兽医专家系统（VESOP），该系统可通过一系列健康指标估算生存概率。VESOP采用贝叶斯分析框架下的逻辑回归实现。数据集包含形态测量学数据、血液学与血清生化检测结果、肺部超声评分、激素水平测定结果，以及1年和2年生存结局数据。所有代码均基于R与Rjags语言实现。 # 结局预测兽医专家系统（VESOP）数据集与代码 我们整合了美国东南部7个宽吻海豚（*Tursiops truncatus*）种群的健康数据，以开发结局预测兽医专家系统（VESOP），该系统可通过一系列健康指标估算生存概率。VESOP采用贝叶斯分析框架下的逻辑回归实现。数据集包含形态测量学数据、血液学与血清生化检测结果、肺部超声评分、激素水平测定结果，以及1年和2年生存结局数据。 ## 数据与文件结构说明 为实现本研究论文及相关补充材料中的VESOP模型，本研究使用了以下文件：Schwacke, LH, L Thomas, RS Wells, TK Rowles, G Bossart, F Townsend, M Mazzoil, JB Allen, BC Balmer, AA Barleycorn, A Barratclough, ML Burt, S De Guise, D Fauquier, FM Gomez, NM Kellar, JH Schwacke, TR Speakman, E Stolen, BM Quigley, ES Zolman, and CR Smith....