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H-Module Sur iTunes

For days 2 and 3 we examined which blood cell counts from that same day or which combination of blood cell counts from previous days (sequential diagnosis) might provide the best model for discriminating the three binary categories examined (table 1).  Depending on the changes in blood cell counts, no precise allocation to a certain H-ARS severity category can be provided.  During radiological (e.g. terrorist attack) or nuclear events (e.g. nuclear power plant accidents or use of an improvised nuclear device) subjects will be exposed to ionizing radiation.  With a delay of days or weeks after radiation, injured patients will become very sick, requiring an early hospitalization and intensive care in order to survive.  For each of these group comparisons we examined how well changes in lymphocytes, granulocytes and thrombocytes contributed to their discrimination and build corresponding mathematical models for each day.  Before making any medical decisions based on H-Module results, clinicians specialized in hemato-oncology and experienced in H-ARS should be consulted.  The H-Module is a medical supporting tool used for educational purposes of the haematological acute radiation syndrome (H-ARS) only.  (3) Identify exposed individuals, who will develop a severe/lethal degree of the hematopoietic syndrome (H3-4 H-ARS).  In this case, a severity range will be shown and associated likelihoods of the prediction (given as positive and negative predictive values) calculated.  3 .H0-2 vs H3-4, identification of individuals who will develop a severe/lethal degree of the H-ARS (H3-4).  Physicians require rapid guidance for early and high-throughput diagnosis and therapeutic interventions of the H-ARS.  Depending on the day and the binary category one out of these 21 models will be activated by the App.  Diagnostic and therapeutic recommendations from these models are finally aggregated following an algorithm as stated elsewhere (Majewski et al.  2020).  The likelihood (positive or negative predictive value) in favor of the higher or lower binary category are reflected in percent.