Steatotic liver disease, including metabolic dysfunction associated steatohepatitis (MASLD) and metabolic associated alcoholic liver disease (MALD), is a common cause of liver test abnormalities in the United States. Risk factors such as obesity and metabolic syndrome can lead to advanced fibrosis a

1 views • 44 slides

Explore the concepts of address prediction, recovery, and interrupt recovery in EECS 470 lecture featuring slides developed by prominent professors. Topics include branch predictors, limitations of Tomasulo's Algorithm, various prediction schemes, branch history tables, and more. Dive into bimodal,

0 views • 42 slides

Explore the essential aspects of security risk analysis and management, including risk identification, assessment, and control techniques within an Information Security (InfoSec) context. Learn about the purpose of risk management, steps involved in a risk management plan, asset identification and c

0 views • 22 slides

Risk management in environmental geography and disaster management involves assessing the potential losses from hazards, evaluating vulnerability and exposure, and implementing strategies to mitigate risks. It includes calculating risk, dealing with risk through acceptance, avoidance, reduction, or

1 views • 10 slides

This presentation delves into flood risk assessment using HEC-FDA software, covering topics such as defining flood risk, components of uncertainty, consequences of flood risk, and methods to assess flood risk including hydrology, hydraulics, geotechnical, and economics. It explores the intersection

6 views • 39 slides

The natural history of disease development outlines the progression of a disease in an individual without intervention, from exposure to outcome. Learning objectives include defining prevention terms, understanding disease severity, prevention levels, and intervention measures. Studying disease prog

4 views • 16 slides

Exploring the fundamentals of MPEG-4 Part 10, also known as H.264/AVC, this overview delves into the codec flow, macroblocks, slices, profiles, reference picture management, inter prediction techniques, motion vector compensation, and intra prediction methods used in this advanced video compression

2 views • 32 slides

This content provides valuable insights into the importance of Operational Risk Assessment (ORA) in managing major accident risks in high hazard industries. It covers the necessity of ORA, identifying changes, risk assessment, and key success factors. Real-life examples like the Buncefield Terminal

0 views • 22 slides

Epidemiology is the study of disease patterns, factors influencing disease occurrence, and the core functions of surveillance, field investigation, and analytic studies. It involves understanding disease characteristics, natural history, and evaluating the effectiveness of activities to mitigate dis

1 views • 25 slides

Country risk analysis is crucial for multinational corporations (MNCs) to assess the potential impact of a country's environment on their financial outcomes. It includes evaluations of political and economic risks in foreign operations. Sovereign risk, political risk characteristics, and factors are

0 views • 61 slides

Test your knowledge on heart disease with this Heart Health Jeopardy game. Learn about heart disease facts, statistics, risk factors, and common types of heart diseases. Understand the importance of recognizing heart attack symptoms and the significance of factors like high blood pressure, high chol

0 views • 58 slides

Efficient air pollution monitoring and prediction models are essential due to the increasing urbanization trend. This research aims to develop novel attention-based long-short term memory models for accurate air pollution prediction. By leveraging machine learning and deep learning approaches, the s

0 views • 17 slides

Explore the significance of adopting a One Health approach to zoonotic disease risk assessment and communication in the context of emergency health situations. The session emphasizes core capacities required by the International Health Regulations (IHR) 2005, effective risk communication processes,

2 views • 13 slides

Explore the significance of State of Charge (SOC) prediction in lithium-ion batteries, focusing on battery degradation models, voltage characteristics, accurate SOC estimation, SOC prediction methodologies, and testing equipment like Digatron Lithium Cell Tester. The content delves into SOC manageme

0 views • 32 slides

Tyzzer's disease is an acute bacterial infection affecting rodents and rabbits, caused by Clostridium piliforme. Discovered in 1917 by Ernest Tyzzer, the disease is characterized by necrotic lesions in the caecal mucosa, liver, and heart. Initially known as Bacillus piliformis, it was later renamed

2 views • 21 slides

KFRE, a validated risk prediction tool, aids in predicting the need for kidney replacement therapy in adults with chronic kidney disease. Developed in Canada in 2011, KFRE has undergone validation in over 30 countries, showing superior clinical accuracy in KRT prediction. Caution is advised when usi

0 views • 9 slides

Project risk management involves minimizing potential risks and maximizing opportunities through processes such as risk management planning, risk identification, qualitative and quantitative risk analysis, risk response planning, and risk monitoring and control. Quantitative risk analysis assesses t

0 views • 41 slides

This article discusses disease control processes in epidemiology, including reducing disease incidence, duration, and transmission. It covers public policy interventions, elimination, eradication, and extinction of infectious agents. It also highlights preventable causes of disease and different lev

2 views • 10 slides

This Real-time Experimental Lightning Flash Prediction Report presents a detailed analysis of lightning flash forecasts based on initial conditions. Prepared by a team at the Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, India, the report includes data on accumulated total li

0 views • 6 slides

Explore the concepts of privacy-preserving prediction and learning in machine learning research, including differential privacy, trade-offs, prediction APIs, membership inference attacks, label aggregation, classification via aggregation, and prediction stability. The content delves into the challen

0 views • 11 slides

A cluster randomised controlled trial is being conducted to test an intervention aimed at reducing cardiovascular disease risk for individuals with severe mental illnesses in primary care settings. Led by Professor David Osborn at UCL Division of Psychiatry, the study is funded by the National Insti

0 views • 21 slides

Wetland Prediction Model Assessment was conducted in a GIS pilot study for the Kinston Bypass project in Lenoir County. The goal was to streamline project delivery through GIS resources. The study focused on Corridor 36, assessing various wetland types over a vast area using statistical and spatial

0 views • 16 slides

Machine learning often requires real-time, accurate, and robust predictions under heavy query loads. However, many existing frameworks are more focused on model training than deployment. Clipper is an online prediction system with a modular architecture that addresses concerns such as latency, throu

0 views • 17 slides

Patients with coronary artery disease should be screened for peripheral vascular disease as it is a frequent integrator of global cardiovascular risk. The association of atherosclerosis in various arterial diseases highlights the importance of identifying multisite artery disease. The prevalence and

0 views • 23 slides

The Human Disease Symptom Network (HSDN) is constructed using a large-scale medical bibliographic records database to form a network of human diseases based on symptom similarities. By integrating disease-gene associations and protein-protein interaction data, correlations between symptom similarity

0 views • 37 slides

This content discusses the theoretical justification of popular link prediction heuristics such as predicting connections between nodes based on common neighbors, shortest paths, and weights assigned to low-degree common neighbors. It also explores link prediction generative models and previous empi

0 views • 39 slides

This presentation discusses the use of decision trees to enhance program-based static branch prediction, focusing on improving the Ball and Larus heuristics. It covers the importance of static branch prediction, motivation behind the research, goals of the study, and background on Ball and Larus heu

0 views • 36 slides

Descriptive epidemiology involves the study of disease occurrence and distribution in populations. It focuses on describing patterns of disease occurrence based on who gets sick, where rates are highest and lowest, and temporal patterns of disease. Descriptive studies are essential for public health

0 views • 18 slides

Columnaris disease, also known as Saddleback disease, is a common bacterial infection in fish that is often brought about by poor handling and high stress levels. This disease manifests as tail and fin rot, leading to rapid fish mortality. The causative organism, Cytophaga (formerly Flexibacter), is

0 views • 21 slides

Explore the essential concepts of risk in finance, such as risk definition, risk profiles, financial exposure, and types of financial risks. Learn about risk vs. reward trade-offs, identifying risk profiles, and tools to control financial risk. Understand the balance between risk and return, and the

0 views • 18 slides

This comprehensive presentation explores the intricacies of risk and return assessment in the realm of financial management. Delve into understanding risk concepts, measuring risk and return, major risk categories, and the impact of risk aversion on investment decisions. Gain insights into the manag

0 views • 62 slides

The European Grid Infrastructure (EGI) Foundation conducts risk assessments and implements security controls in collaboration with the EOSC-hub project. The risk assessments involve evaluating threats, determining likelihood and impact, and recommending treatment for high-risk threats. Results from

0 views • 13 slides

This session delves into the world of risk management and portfolio analysis at the programme/project level, specifically focusing on the Risk Management Unit of the United Nations Somalia. It covers enterprise risk management standards, planned risk management actions, the role of RMU, joint risk m

0 views • 30 slides

Alcohol consumption is linked to an increased risk of various cancers, including mouth, throat, esophagus, breast, liver, and colorectal cancers. Factors such as ethanol, acetaldehyde, nutrient absorption, estrogen levels, and liver cirrhosis play a role in this risk. Even light drinking can elevate

0 views • 17 slides

Falls among the elderly are a significant concern globally, with preventable factors causing a substantial burden. This presentation outlines the work of TG-Falls, focusing on AI applications for fall prediction and detection. Key topics covered include the group's purpose, contributors, AI tasks, s

0 views • 17 slides

Falls among the elderly are a significant concern globally. This presentation discusses AI-driven fall prediction models, including traditional tools like the Timed Up and Go Test, and the potential impact on reducing falls with validated models showing an AUC of 0.62-0.69. The discussion covers sub

0 views • 17 slides

This informational resource delves into various aspects of disease frequency, effect measures, and impact, covering key terms like exposure and disease. It also discusses important measures like incidence rate, prevalence rate, and risk difference. Examination questions related to the incidence and

0 views • 16 slides

Learning about the significance of predictions in news events and the process of causality mining for accurate forecasting. The research delves into problem definition, solution representation, algorithms, and evaluation in event prediction. Emphasis is placed on events, time representation, predict

0 views • 36 slides

This content showcases various synthetic models for analyzing transcriptome data, including integrative models, trait prediction, and deep Boltzmann machines. It explores the generation of synthetic transcriptome data and the training processes involved in these models. The use of Restricted Boltzma

0 views • 14 slides

This paper presents the WSP framework, a network coordinate-based approach for predicting response times in web services. It explores the motivation behind web service composition, quality-of-service evaluation, and the challenges of QoS prediction. The WSP framework enables the selection of web ser

0 views • 30 slides