A computer program in compiled basic for the IBM personal computer to calculate the mean platelet survival time with the multiple-hit and weighted mean methods
We developed an easy-to-operate computer program for the IBM personal computer to calculate, display and store in a database platelet kinetic data determined by analysis of the rate of clearance of radiolabeled blood platelets from the circulation. This was done by curve fitting using the weighted m...
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| Veröffentlicht in: | Computers in biology and medicine 1988, Vol.18 (4), p.305-315 |
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| container_title | Computers in biology and medicine |
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| creator | Lötter, M.G. Rabe, W.le R. van Zyl, J.M. Heyns, A.du P. Wessels, P. Kotzé, H.F. Minnaar, P.C. |
| description | We developed an easy-to-operate computer program for the IBM personal computer to calculate, display and store in a database platelet kinetic data determined by analysis of the rate of clearance of radiolabeled blood platelets from the circulation. This was done by curve fitting using the weighted mean method and multiple-hit model. These models are complementary and calculating the mean platelet survival time with both is recommended. Improvement of the weighted mean method was investigated. The optimized weighting and fitting the exponential function with the Marquardt non-linear least squares method improved the weighted mean method. The weighted mean and multiple-hit models fit the survival curve data equally well. The calculation of the mean platelet survival time with the weighted mean method was very fast. The duration of calculation with the multiple-hit model could take up to 2 minutes. Calculation of the mean platelet survival time using both models has the advantage that conditions when calculation of the mean platelet survival time would be invalid, can be detected. The computer program will promote the valid comparison of results obtained at different institutions. |
| doi_str_mv | 10.1016/0010-4825(88)90006-6 |
| format | Article |
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This was done by curve fitting using the weighted mean method and multiple-hit model. These models are complementary and calculating the mean platelet survival time with both is recommended. Improvement of the weighted mean method was investigated. The optimized weighting and fitting the exponential function with the Marquardt non-linear least squares method improved the weighted mean method. The weighted mean and multiple-hit models fit the survival curve data equally well. The calculation of the mean platelet survival time with the weighted mean method was very fast. The duration of calculation with the multiple-hit model could take up to 2 minutes. Calculation of the mean platelet survival time using both models has the advantage that conditions when calculation of the mean platelet survival time would be invalid, can be detected. The computer program will promote the valid comparison of results obtained at different institutions.</description><identifier>ISSN: 0010-4825</identifier><identifier>EISSN: 1879-0534</identifier><identifier>DOI: 10.1016/0010-4825(88)90006-6</identifier><identifier>PMID: 3409677</identifier><identifier>CODEN: CBMDAW</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>111In computer program ; Biological and medical sciences ; Blood platelets ; Blood Platelets - physiology ; Cell Survival ; Hematology ; IBM personal computer ; Investigative techniques, diagnostic techniques (general aspects) ; kinetics ; Mathematical Computing ; mathematical models ; mean platelet survival time ; Medical sciences ; Microcomputers ; Models, Biological ; multiple-hit model weighted mean model ; Pathology. Cytology. Biochemistry. Spectrometry. 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This was done by curve fitting using the weighted mean method and multiple-hit model. These models are complementary and calculating the mean platelet survival time with both is recommended. Improvement of the weighted mean method was investigated. The optimized weighting and fitting the exponential function with the Marquardt non-linear least squares method improved the weighted mean method. The weighted mean and multiple-hit models fit the survival curve data equally well. The calculation of the mean platelet survival time with the weighted mean method was very fast. The duration of calculation with the multiple-hit model could take up to 2 minutes. Calculation of the mean platelet survival time using both models has the advantage that conditions when calculation of the mean platelet survival time would be invalid, can be detected. The computer program will promote the valid comparison of results obtained at different institutions.</description><subject>111In computer program</subject><subject>Biological and medical sciences</subject><subject>Blood platelets</subject><subject>Blood Platelets - physiology</subject><subject>Cell Survival</subject><subject>Hematology</subject><subject>IBM personal computer</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>kinetics</subject><subject>Mathematical Computing</subject><subject>mathematical models</subject><subject>mean platelet survival time</subject><subject>Medical sciences</subject><subject>Microcomputers</subject><subject>Models, Biological</subject><subject>multiple-hit model weighted mean model</subject><subject>Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques</subject><subject>Programming Languages</subject><subject>radionuclide</subject><subject>Regression Analysis</subject><subject>Software</subject><subject>Time Factors</subject><issn>0010-4825</issn><issn>1879-0534</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1TAQhS1EVS6FNwDJC4RgEbBjx3E2SKUCWqmIDawtx540Rk4cbOdWfRpeFd8f3e5YjTzznRnrHIReUfKBEio-EkJJxWXdvJPyfUcIEZV4gjZUtl1FGsafos0JeYaep_S7MJwwco7OGSedaNsN-nuJTZiWNUPESwx3UU_Yzfue82Bxr5MzeAgR5xHwzefveIGYwqz9oy4HbLQ3q9cZ9tgEesbL7ukh47TGrdsWQXYT4HuXxwO0-uwWD9XoMtazxffg7sZcbu7lE-Qx2PQCnQ3aJ3h5rBfo19cvP6-uq9sf326uLm8rw6TI1aBrMEJz28i-NzW1RnNCdG0ESGoZ61hneyuNZIL3nAreSGL00BCuATgl7AK9PewtJvxZIWU1uWTAez1DWJNqJZN13XQF5AfQxJBShEEt0U06PihK1C4XtTNd7UxXUqp9LkoU2evj_rWfwJ5ExyDK_M1xrlMxc4h6Ni6dsLZmjApZsE8HDIoXWwdRJeNgNmBdBJOVDe7___gH7jusOA</recordid><startdate>1988</startdate><enddate>1988</enddate><creator>Lötter, M.G.</creator><creator>Rabe, W.le R.</creator><creator>van Zyl, J.M.</creator><creator>Heyns, A.du P.</creator><creator>Wessels, P.</creator><creator>Kotzé, H.F.</creator><creator>Minnaar, P.C.</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>1988</creationdate><title>A computer program in compiled basic for the IBM personal computer to calculate the mean platelet survival time with the multiple-hit and weighted mean methods</title><author>Lötter, M.G. ; Rabe, W.le R. ; van Zyl, J.M. ; Heyns, A.du P. ; Wessels, P. ; Kotzé, H.F. ; Minnaar, P.C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-fa2ec6a4d58bbc21dca400a2c6e81d33939dbd8c8364b4164580caf504aee4103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>111In computer program</topic><topic>Biological and medical sciences</topic><topic>Blood platelets</topic><topic>Blood Platelets - physiology</topic><topic>Cell Survival</topic><topic>Hematology</topic><topic>IBM personal computer</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>kinetics</topic><topic>Mathematical Computing</topic><topic>mathematical models</topic><topic>mean platelet survival time</topic><topic>Medical sciences</topic><topic>Microcomputers</topic><topic>Models, Biological</topic><topic>multiple-hit model weighted mean model</topic><topic>Pathology. 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Miscellaneous investigative techniques</topic><topic>Programming Languages</topic><topic>radionuclide</topic><topic>Regression Analysis</topic><topic>Software</topic><topic>Time Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lötter, M.G.</creatorcontrib><creatorcontrib>Rabe, W.le R.</creatorcontrib><creatorcontrib>van Zyl, J.M.</creatorcontrib><creatorcontrib>Heyns, A.du P.</creatorcontrib><creatorcontrib>Wessels, P.</creatorcontrib><creatorcontrib>Kotzé, H.F.</creatorcontrib><creatorcontrib>Minnaar, P.C.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Computers in biology and medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lötter, M.G.</au><au>Rabe, W.le R.</au><au>van Zyl, J.M.</au><au>Heyns, A.du P.</au><au>Wessels, P.</au><au>Kotzé, H.F.</au><au>Minnaar, P.C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A computer program in compiled basic for the IBM personal computer to calculate the mean platelet survival time with the multiple-hit and weighted mean methods</atitle><jtitle>Computers in biology and medicine</jtitle><addtitle>Comput Biol Med</addtitle><date>1988</date><risdate>1988</risdate><volume>18</volume><issue>4</issue><spage>305</spage><epage>315</epage><pages>305-315</pages><issn>0010-4825</issn><eissn>1879-0534</eissn><coden>CBMDAW</coden><abstract>We developed an easy-to-operate computer program for the IBM personal computer to calculate, display and store in a database platelet kinetic data determined by analysis of the rate of clearance of radiolabeled blood platelets from the circulation. This was done by curve fitting using the weighted mean method and multiple-hit model. These models are complementary and calculating the mean platelet survival time with both is recommended. Improvement of the weighted mean method was investigated. The optimized weighting and fitting the exponential function with the Marquardt non-linear least squares method improved the weighted mean method. The weighted mean and multiple-hit models fit the survival curve data equally well. The calculation of the mean platelet survival time with the weighted mean method was very fast. The duration of calculation with the multiple-hit model could take up to 2 minutes. Calculation of the mean platelet survival time using both models has the advantage that conditions when calculation of the mean platelet survival time would be invalid, can be detected. 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| ispartof | Computers in biology and medicine, 1988, Vol.18 (4), p.305-315 |
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| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | 111In computer program Biological and medical sciences Blood platelets Blood Platelets - physiology Cell Survival Hematology IBM personal computer Investigative techniques, diagnostic techniques (general aspects) kinetics Mathematical Computing mathematical models mean platelet survival time Medical sciences Microcomputers Models, Biological multiple-hit model weighted mean model Pathology. Cytology. Biochemistry. Spectrometry. Miscellaneous investigative techniques Programming Languages radionuclide Regression Analysis Software Time Factors |
| title | A computer program in compiled basic for the IBM personal computer to calculate the mean platelet survival time with the multiple-hit and weighted mean methods |
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