Incorporating medical code descriptions for diagnosis prediction in healthcare

Table 3 The visit-level precision @k of diagnosis prediction task

Dataset	@k	MLP	MLP +	RNN	RNN +	RNN_a	RNN_a+	Dipole	Dipole +	RETAIN	RETAIN +	GRAM	GRAM +
MIMIC-III	5	0.6939	0.7124	0.6616	0.7160	0.6504	0.7083	0.6599	0.7074	0.6835	0.7167 ^∗	0.6885	0.7132
	10	0.6441	0.6603	0.6145	0.6565	0.6021	0.6527	0.6116	0.6539	0.6361	0.6623 ^∗	0.6424	0.6596
	15	0.6812	0.6926 ^∗	0.6546	0.6906	0.6412	0.6856	0.6524	0.6903	0.6777	0.6918	0.6828	0.6918
	20	0.7420	0.7544 ^∗	0.7199	0.7511	0.7109	0.7455	0.7159	0.7483	0.7403	0.7501	0.7434	0.7513
	25	0.7939	0.8070 ^∗	0.7755	0.8019	0.7697	0.8009	0.7723	0.8020	0.7912	0.8010	0.7941	0.8028
	30	0.8357	0.8460	0.8186	0.8456	0.8142	0.8445	0.8169	0.8453	0.8335	0.8445	0.8377	0.8468 ^∗
Heart failure	5	0.4451	0.4947	0.4890	0.5172	0.4976	0.5103	0.4964	0.5111	0.3751	0.5140	0.5341	0.5365 ^∗
	10	0.6122	0.6206	0.6585	0.6879	0.6675	0.6817	0.6689	0.6829	0.5378	0.6828	0.7123	0.7159 ^∗
	15	0.6996	0.7060	0.7436	0.7683	0.7496	0.7631	0.7514	0.7648	0.6372	0.7613	0.7901	0.7939 ^∗
	20	0.7606	0.7643	0.8006	0.8213	0.8050	0.8174	0.8070	0.8167	0.7088	0.8143	0.8402	0.8442 ^∗
	25	0.8100	0.8140	0.8425	0.8593	0.8453	0.8560	0.8476	0.8557	0.7655	0.8533	0.8761	0.8789 ^∗
	30	0.8477	0.8511	0.8743	0.8879	0.8770	0.8857	0.8785	0.8846	0.8102	0.8826	0.9025	0.9047 ^∗

ISSN: 1472-6947