From: Using machine learning algorithms to guide rehabilitation planning for home care clients
initialize score = 0; threshold = 15.8 | |
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if (c3 = 0) | then score = score + 1.5; |
if (h2a = 0) | then score = score + 1.1; |
if (h2b = 0) | then score = score + 1.1; |
if (h2c = 0) | then score = score + 1.1; |
if (h2d = 0) | then score = score + 1.2; |
if (h2e = 0) | then score = score + 1.3; |
if (h2f = 0) | then score = score + 1.3; |
if (h2g = 0) | then score = score + 1.3; |
if (h2h = 0) | then score = score + 1.3; |
if (h2i = 0) | then score = score + 1.4; |
if (h2j = 0) | then score = score + 3.1; |
if (h3 = 1) | then score = score + 1.7; |
if (h7a = 1) | then score = score + 3.0; |
if (h7b = 1) | then score = score + 2.9; |
if (h7c = 1) | then score = score + 4.1; |
if (k8b = 0) | then score = score + 1.3; |
if (k8c = 1) | then score = score + 1.1; |
if (k8d = 1) | then score = score + 2.0; |
if (p6 = 1 or 2) | then score = score + 1.9; |