Results 141 to 150 of about 2,461 (194)

An Overdose Forecasting Dashboard for Local Harm-Reduction Response. [PDF]

Health Promot Pract
Krieger M, Yedinak J, Duong E, Macmadu A, Skinner A, Allen B, Pratty C, Ahern J, Cerdá M, Marshall BDL.   +9 more
europepmc   +1 more source

Formulating and evaluating time series algorithms to forecast daily asthma hospital admissions. [PDF]

J Clin Transl Sci
Colegate SP, Seid M, Hartley D, Flicker A, Bruce J, Michael J, Udoko M, Beck AF, Brokamp C.   +8 more
europepmc   +1 more source

Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review. [PDF]

J Med Internet Res
Boudra T, Idrissou A, Barakat O, Davani S, Valnet Rabier MB, Lagoutte-Renosi J.   +5 more
europepmc   +1 more source

Can we adapt fairly? Scoping review of health equity implications of flood risk in coastal communities. [PDF]

BMJ Public Health
Turner G, Kovats S, Brisley R, Brown S, Landeg O, O'Connor L.   +5 more
europepmc   +1 more source

The use of smart surveillance technologies for suicide prevention in public spaces: a professional stakeholder survey from the United Kingdom. [PDF]

BMC Public Health
Joyner L, Cliffe B, Mackenzie JM, Pettersen E, Marsh I, Phillips P, Marzano L.   +6 more
europepmc   +1 more source

Forecasting Crime

, 2018
Organizations in the private sector must do strategic planning over long-term horizons to locate new facilities, plan new products, develop competitive advantages, and so forth. Consequently, long-term forecasts of demand, costs of raw materials, etc. are important in the private sector.
Gorr, Wilpen, Olligschlaeger, Andreas M., Szczypula, Janusz, Thompson, Yvonne   +3 more
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Introduction to crime forecasting

International Journal of Forecasting, 2003
Abstract This short paper introduces the six papers comprising the Special Section on Crime Forecasting. A longer title for the section could have been “Forecasting crime for policy and planning decisions and in support of tactical deployment of police resources.” Crime forecasting for police is relatively new.
Richard Harries
exaly   +2 more sources

Forecasting Crime Using the ARIMA Model

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008
In this paper, time series model of ARIMA is used to make short-term forecasting of property crime for one city of China. With the given data of property crime for 50 weeks, an ARIMA model is determined and the crime amount of 1 week ahead is predicted. The modelpsilas fitting and forecasting results are compared with the SES and HES.
Hongyong Yuan, Xueming Shu
exaly   +2 more sources

Short-term forecasting of crime

International Journal of Forecasting, 2003
Abstract The major question investigated is whether it is possible to accurately forecast selected crimes 1 month ahead in small areas, such as police precincts. In a case study of Pittsburgh, PA, we contrast the forecast accuracy of univariate time series models with naive methods commonly used by police. A major result, expected for the small-scale
Wilpen Gorr, Andreas Olligschlaeger, Yvonne Thompson   +2 more
exaly   +2 more sources

Classify interval range of crime forecasting for crime prevention decision making

2016 11th International Conference on Knowledge, Information and Creativity Support Systems (KICSS), 2016
Law enforcement authority as decision maker requires future information, which can be predicted through index crime forecasting to determine the level or future crime trend. Processing of data into useful information is indispensable. Crime trend prediction is helpful to make a decision in crime prevention activities.
Astari Retnowardhani
exaly   +2 more sources